2009 (Total 1)
1. Yonghong Yan, Jisheng Zhao, Yi Guo, and Vivek Sarkar. “Hierarchical Place Trees: A Portable Abstraction for Task Parallelism and Data Movement”, Proceedings of the 22nd Workshop on Languages and Compilers for Parallel Computing (LCPC), October 2009.
2010 (Total 33)
2. Jonathan K. Lee, Jens Palsberg, “Featherweight X10: a core calculus for async-finish parallelism”, Principles and Practice of Parallel Programming (PPoPP) Conference, Bangalore, India, pp. 25-36, January 2010.
3. V. Sarkar, W. Harrod, A.E. Snavely. Software Challenges in Extreme Scale Systems. SciDAC Review Special Issue on Advanced Computing: The Roadmap to Exascale, pp. 60-65, January 2010.
4. R.G. Baraniuk, V. Cevher, M.A. Duarte, C. Hegde. “Model-based compressive sensing”, IEEE Trans Information Theory, April 2010.
5. Yi Guo, Jisheng Zhao, Vincent Cavé, and Vivek Sarkar. SLAW: a Scalable Locality-aware Adaptive Work-stealing Scheduler. 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS), ATLANTA (Georgia) USA, pp. 1-12, April 2010.
6. S. Shamshiri and K.-T. Cheng, “Modeling yield, cost, and quality of an NoC with uniformly and non-uniformly distributed redundancy”, IEEE VLSI Test Symposium (VTS), Santa Cruz, CA, pp. 194-199, April 2010.
7. Jun Shirako and Vivek Sarkar. “Hierarchical Phasers for Scalable Synchronization and Reduction”, 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS), ATLANTA (Georgia) USA, pp. 1-12, April 2010.
8. Jason Cong, Yi Zou, “A Comparative Study on the Architecture Templates for Dynamic Nested Loops”, in Proc. 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, pp.251-254, May 2010.
9. K.-T. Cheng, and S. Shamshiri, “Yield, Quality, and Cost of a Reliable NoC”, 2010 DAC Workshop on Diagnostic Services in Network-on-Chips, June 2010.
10. Jason Cong, Chunyue Liu and Glenn Reinman. “ACES: Application-Specific Cycle Elimination and Splitting for Deadlock-Free Routing on Irregular Network-on-Chip”, In Proceedings of Design Automation Conference (DAC), Anaheim, CA, pp. 443-448, June 2010.
11. M. Yan. “Convergence analysis of SART by Bregman iteration and dual gradient descent”, UCLA Center for Applied Math (CAM) Report 10-27, June 2010.
12. Zoran Budimlic, Michael Burke, Vincent Cave, Kathleen Knobe, Geoff Lowney, Ryan Newton, Jens Palsberg, David Peixotto, Vivek Sarkar, Frank Schlimbach, Sagnak Tasirlar. “Concurrent Collections”, Scientific Programming, 18:3-4, pp. 203-217, August 2010.
13. Jisheng Zhao, Jun Shirako, V. Krishna Nandivada, and Vivek Sarkar. “Reducing Task Creation and Termination Overhead in Explicitly Parallel Programs”, The Nineteenth International Conference on Parallel Architectures and Compilation Techniques (PACT), September 2010.
14. Yi-Chu Wang, Bryan Donyanavard, Kwang-Ting Cheng, “Energy-Aware Real-time Face Recognition System on Mobile CPU-GPU Platform”, International Workshop on Computer Vision on GPU 2010 (CVGPU 2010), September 2010.
15. C. Sankaranarayanan, P. K. Turaga, R. G. Baraniuk, and R. Chellappa, “Compressive Acquisition of Dynamic Scenes”, European Conference on Computer Vision, Heraklion, Crete, Greece, September 2010.
16. M. Jung, E. Resmerita, L.A. Vese. “Dual norm-based iterative methods for image restoration”, UCLA Center for Applied Math (CAM) Report 09-88; accepted for conference proceedings presentation and publication, ECCV, September 2010.
17. Vincent Cavé, Zoran Budimlic, Vivek Sarkar, “Comparing the Usability of Library vs. Language Approaches to Task Parallelism”, Workshop on Evaluation and Usability of Programming Languages and Tools (PLATEAU), co-located with SPLASH 2010, October 2010.
18. Zoran Budimlic, Alex Bui, Jason Cong, Glenn Reinman, Vivek Sarkar, “Modeling and Mapping for Customizable Domain-Specific Computing”, Workshop on Concurrency for the Application Programmer (CAP), co-located with SPLASH 2010, October 2010.
19. Max Grossman, Alina Simion, Zoran Budimlic, Vivek Sarkar, “CnC-CUDA: Declarative Programming for GPU’s”, 2010 Workshop on Languages and Compilers for Parallel Computing (LCPC), October 2010.
20. H. Noshadi, F. Dabiri, M. Meguerdichian, M. Potkonjak, M. Sarrafzadeh, “Energy Optimization in Wireless Medical Systems Using Physiological Behavior”, ACM/BMES Wireless Health, pp. 1-8, October 2010, San Diego, CA.
21. Yi-Chu Wang, Sydney Pang, Kwang-Ting Cheng, “A GPU-Accelerated Face Annotation System for Smartphones”, ACM International Conference on Multimedia Technical demonstrations, October 2010.
22. M. A. Davenport, C. Hegde, M. F. Duarte, and R. G. Baraniuk, “Joint manifolds for data fusion”, IEEE Transactions on Image Processing, vol. 19, no. 10, pp. 2580-2594, Oct., 2010.
23. Raghavan Raman, Jisheng Zhao, Vivek Sarkar, Martin Vechev, Eran Yahav, “Efficient Data Race Detection for Async-Finish Parallelism”, Proceedings of the 1st International Conference on Runtime Verification (RV ’10), November 2010. Recipient of Best Paper Award.
24. M. Potkonjak, S. Meguerdichian, J.L. Wong, “Trusted Sensors and Remote Sensing”, IEEE Sensors, pp. 1-4, November 2010, Honolulu, HW.
25. Vahdatpour, M. Potkonjak, S. Meguerdichian, “A Gate Level Sensor Network for Integrated Circuits Temperature Monitoring”, IEEE Sensors, pp. 1-4, November 2010, Honolulu, HW.
26. S. Meguerdichian, H. Noshadi, F. Dabiri, M. Potkonjak, “Semantic Multimodal Compression for Wearable Sensing Systems”, IEEE Sensors, pp. 1-4, November 2010, Honolulu. HW.
27. Saeed Shamshiri and Kwang-Ting Cheng, “Error-Locality-Aware Linear Coding to Correct Multi-bit Upsets in SRAMs”, IEEE International Test Conference (ITC), November 2010.
28. S. Wei, M. Potkonjak, “Scalable Segmentation-Based Malicious Circuitry Detection and Diagnosis”, International Conference on Computer Aided Design, pp. 1-4, November 2010, Santa Clara, CA.
29. Rajkishore Barik, Jisheng Zhao, Vivek Sarkar, “Efficient Selection of Vector Instructions using Dynamic Programming”, MICRO-43, December 2010.
30. S. Shamshiri and K.-T. Cheng, “Error-Locality-Aware Linear Coding to Correct Multi-bit Upsets in SRAMs”, International Test Conference (ITC), October 2010.
31. Stephen Kou, Jens Palsberg, “From OO to FPGA: fitting round objects into square hardware?”, Object Oriented Programming Systems and Applications Conference (OOPSLA), October 2010.
32. V. Cevher, P. Indyk, L. Carin, and R. G. Baraniuk, “Sparse Signal Recovery and Acquisition with Graphical Models,” IEEE Signal Processing Magazine (special section on Major Advances in Graphical Modeling Technologies), Vol. 27, No. 10, pp. 92-103, October 2010.
33. V. Cevher, M.B. Wakin, R.G. Baraniuk. “Low-dimensional models for dimensionality reduction and signal recovery: A geometric perspective” Accepted, Proc IEEE (special issue on sparsity in signal processing), 2010.
34. M.A. Davenport, P.T. Boufounos, M.B. Wakin, R.G. Baraniuk. “Signal processing with compressive measurements”, Accepted, IEEE J Selected Applications in Signal Processing (special issue on applications of compressive sensing), 2010.
2011 (Total 75)
35. Jason Cong, Mohammad Ali Ghodrat, Michael Gill, Chunyue Liu, Glenn Reinman, Yi Zou, “AXR-CMP: Architecture Support in Accelerator-Rich CMPs”, 2nd Workshop on SoC Architecture, Accelerators and Workloads (SAW-2), San Antonio, TX, February 2011.
36. Mohsen Lesani and Jens Palsberg, “Communicating memory transactions”, Proceedings of PPOPP’11, 15th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, San Antonio, Texas, February 2011.
37. Gyung-Su Byun, Yanghyo Kim, Jongsun Kim, Sai-Wang Tam, Jason Cong, Glenn Reinman, M-C. F Chang, “An 8.4Gb/s 2.5pJ/b Mobile Memory I/O Interface Using Bi-directional and Simultaneous Dual (Base+RF)-Band Signaling”, IEEE International Solid-State Circuits Conference (ISSCC 2011), Session, 28, Feb. 2011, San Francisco, California.
38. R. G. Baraniuk, “More is Less? Signal Processing and the Data Deluge,” Science, Vol. 331 No. 6018 pp. 717-719, 11 February 2011.
39. Zoran Budimlic´, Michael Burke, Kathleen Knobe, Ryan Newton, David Peixotto, Vivek Sarkar, Edwin Westbrook. “Deterministic Reductions in an Asynchronous Parallel Language”, The 2nd Workshop on Determinism and Correctness in Parallel Programming (WoDet), March 2011.
40. Tom Henretty, Kevin Stock, Louis-Noel Pouchet, Franz Franchetti, J. Ramanujam and P. Sadayappan, “Data Layout Transformation for Stencil Computations on Short SIMD Architectures”, ETAPS International Conference on Compiler Construction (CC’11), Saarbrucken, Germany, Macrh 2011.
41. J. Cong, V. Sarkar, G. Reinman and A. Bui, “Customizable Domain-Specific Computing”, IEEE Design and Test of Computers, Volume 28, Issue 2, pp. 5-15, March/April 2011.
42. C. Hegde and R. G. Baraniuk, “Compressive Sampling of Pulse Streams,” IEEE Transactions on Signal Processing, Vol. 59, No. 4, April 2011.
43. J. Cong, B. Liu, S. Neuendorffer, J. Noguera, K. Vissers and Z. Zhang, “High-Level Synthesis for FPGAs: From Prototyping to Deployment, ” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Volume 30, Number 4, pp. 473-491, April 2011. (Keynote paper)
44. Kwang-Ting Cheng and Yi-Chu Wang, “Using Mobile GPU for General-Purpose Computing – A Case Study of Face Recognition on Smartphones, “International Symposium on VLSI Design, Automation and Test (VLSI-DAT 2011) Hsinchu, Taiwan (invited), April 2011.
45. A. Papakonstantinou, Y. Liang, J.A. Stratton, K. Gururaj, D. Chen, W.M. Hwu and J. Cong, “Multilevel Granularity Parallelism Synthesis on FPGAs”, Proceeding of 19th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2011), Salt Lake City, UT , May 2011. (Best Paper Award)
46. Jason Cong, Hui Huang, Chunyue Liu and Yi Zou, “A Reuse-Aware Prefetching Algorithm for Scratchpad Memory”, Proceedings of 48th Annual Design Automation Conference (DAC 2011), San Diego, CA, June 2011.
47. S. Meguerdichian M. Potkonjak, Device Aging-Based Physically Unclonable Functions, Design Automation Conference (DAC), accepted for publication, June 2011.
48. M. Potkonjak, S. Meguerdichian, A. Nahapetian, Sheng Wei Differential Public, Physically Unclonable Functions: Architecture and Applications, Design Automation Conference (DAC), accepted for publication, June 2011.
49. S. Wei, M. Potkonjak, Integrated Circuit Security Techniques Using Variable Supply Voltage, Design Automation Conference (DAC), accepted for publication, June 2011.
50. Mackale Joyner, Zoran Budimlic, Vivek Sarkar, “Subregion Analysis and Bounds Check Elimination for High Level Arrays”, Proceedings of the 2011 International Conference on Compiler Construction (CC 2011), April 2011.
51. Rajkishore Barik, Jisheng Zhao, David Grove, Igor Peshansky, Zoran Budimlic, Vivek Sarkar, “Communication Optimizations for Distributed-Memory X10 Programs”, 25th IEEE International Parallel and Distributed Processing Symposium (IPDPS), April 2011.
52. J. H. Ahnn, M. Potkonjak, What to Read? With Whom to Work? Where to Publish? – Scientific Techniques for Organizing and Conducting Engineering Research, 2011 IEEE International Conference on Microelectronic Systems Education, accepted for publication, June 2011.
53. Jun Shirako, Kamal Sharma, Vivek Sarkar. “Unifying Barrier and Point-to-Point Synchronization in OpenMP with Phaser”, 7th International Workshop on OpenMP (IWOMP), June 2011.
54. Yi-Chu Wang and K.-T. Tim Cheng, “Energy-Optimized Mapping of Application to Smartphone Platform – A Case Study of Mobile Face Recognition,” Best Paper Award, IEEE Workshop on Embedded Computer Vision (ECVW 2011, In conjunction with CVPR2011) Colorado Springs, USA, June 2011.
55. J. Cong, M. Huang and Y. Zou, “3D Recursive Gaussian IIR on GPU and FPGAs, A Case Study for Accelerating Bandwidth-Bounded Applications “, 9th IEEE Symposium on Application Specific Processors (SASP 2011), San Diego, CA, Jun 2011
56. Jianwen Chen, Ming Yan, Luminita A. Vese, John Villasenor, Alex Bui, and Jason Cong: EM+TV for Reconstruction of Cone-Beam CT with Curved Detectors using GPU (accepted) Proceedings, (Fully 3D) 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine July 11 – July 15, 2011, Potsdam, Germany.
57. S. Wei, S. Meguerdichian, M. Potkonjak, Malicious Circuitry Detection, Using Thermal Conditioning, accepted for publication in IEEE Transactions on Information Forensics and Security, 2011.
58. S. Wei, M. Potkonjak, Scalable Hardware Trojan Diagnosis, accepted for publication in IEEE Transactions on Very Large Scale Integration, (VLSI) Systems, 2011.
59. S. Meguerdichian, M. Potkonjak, Matched Public PUF: Ultra Low Energy Security Platform, International Symposium on Low Power Electronics and Design, accepted for publication, August 2011.
60. M. Rofouei, M. Sarrafzadeh, M. Potkonjak, Efficient Collaborative Sensing-based Soft Keyboard, International Symposium on Low Power Electronics and Design, accepted for publication, August 2011.
61. V. Cevher, P. Indyk, L. Carin, and R.G. Baraniuk. “A tutorial on sparse signal recovery with graphical models”, Accepted, IEEE Signal Processing Magazine, 2011.
62. C. Hegde, and R. G. Baraniuk, “Sampling and Recovery of Pulse Streams”, IEEE Transaction on Signal Processing, 2011.
63. Ming Yan and Luminita Vese, “Expectation maximization and total variation based model for computed tomography reconstruction from undersampled data”, Proceedings SPIE Medical Imaging 2011.
64. Jason Cong, Karthik Gururaj, Hui Huang, Chunyue Liu, Glenn Reinman and Yi Zou, “An Energy-Efficient Adaptive Hybrid Cache,” The Proceedings of International Symposium on Low Power Electronics and Design (ISLPED), Fukuoka, Japan, August 2011 (Best paper award candidate).
65. S. Shamshiri and K.-T. Tim Cheng, “Modeling yield, cost, and quality of a spare-enhanced multi-core chip,” IEEE Transactions on Computers, special issue on Concurrent On-Line Testing and Error/Fault Resilience of Digital Systems, 2011.
66. Yonghong Yan, Sanjay Chatterjee, Daniel Orozco, Elkin Garcia, Zoran Budimlic, Jun Shirako, Robert Pavel, Guang R. Gao, and Vivek Sarkar. “Hardware and Software Tradeoffs for Task Synchronization on Manycore Architectures”, Proceedings of Euro-Par 2011, August 2011.
67. Sagnak Tasirlar, Vivek Sarkar. “Data-Driven Tasks and their Implementation”, Proceedings of 2011 International Conference on Parallel Processing (ICPP), September 2011.
68. J. Cong, M. Huang and Y. Zou, ” Accelerating Fluid Registration Algorithm on Multi-FPGA Platforms”, 21st International Conference on Field Programmable Logic and Applications (FPL 2011), Chania, Crete, Greece, Sep 2011.
69. J. Cong, B. Grigorian, G. Reinman and M. Vitanza, “Accelerating Vision and Navigation Applications on a Customizable Platform,” Proceedings of the 22nd IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP 2011), Santa Monica, CA, September 2011.
70. J. Cong, K. Gururaj, M. Huang, S. Li, B. Xiao and Y. Zou, “Domain-Specific Processor with 3D Integration for Medical Image Processing,” Proceedings of the 22nd IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP 2011), Santa Monica, CA, September 2011.
71. Y. Chen, J. Cong and G. Reinman, “HC-Sim: A Fast and Exact L1 Cache Simulator with Scratchpad Memory Co-Simulation Support,” Proceedings of the 9th International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS 2011), Taipei, Taiwan, October 2011.
72. Adrian Tang, G. Virbila, T. LaRocca, M. Chang, “A 75-110 GHz Digitally-Probed Artificial Dielectric Phase Demodulator in 65nm CMOS” accepted in IEEE International Microwave Symposium 2011.
73. Naser Sedaghati, Louis-Noel Pouchet, Renji Thomas, Radu Teodorescu, and P. Sadayappan, “A Vector Instruction Extension for High Performance Stencil Computation,” International Conference on Parallel Architectures and Compilation Techniques (PACT 2011).
74. J. N. Laska, P. Boufounos, M. A. Davenport, and R. G. Baraniuk, “Democracy in Action: Quantization, Saturation, and Compressive Sensing,” Applied and Computational Harmonic Analysis, 2011.
75. L. Carin, R. G. Baraniuk, V. Cevher, D. Dunson, M. Jordan, G. Sapiro, M. B.Wakin, “A Bayesian Approach to Learning Low-Dimensional Signal Models from Incomplete Measurements,” IEEE Signal Processing Magazine (special issue on Dimensionality Reduction via Subspace and Manifold Learning), 2011.
76. S. Meguerdichian, M. Potkonjak, Matched Public PUF: Ultra Low Energy Security Platform, International Symposium on Low Power Electronics and Design, pp. 45-50, August 2011.
77. M. Rofouei, M. Sarrafzadeh, M. Potkonjak, Efficient Collaborative Sensing-based Soft Keyboard, International Symposium on Low Power Electronics and Design, pp. 339-344, August 2011.
78. Jason Cong, Karthik Gururaj, Hui Huang, Chunyue Liu, Glenn Reinman and Yi Zou. An Energy-Efficient Adaptive Hybrid Cache. International Symposium on Low Power Electronics and Design (ISLPED), Aug 2011.
79. Vincent Cave, Jisheng Zhao, Jun Shirako, Vivek Sarkar. Habanero-Java: the New Adventures of Old X10. 9th International Conference on the Principles and Practice of Programming in Java (PPPJ), August 2011.
80. Jarred Payne, Vincent Cave, Raghavan Raman, Mathias Ricken, Robert Cartwright, Vivek Sarkar. DrHJ — a lightweight pedagogic IDE for Habanero Java. Tool Demonstration paper, 9th International Conference on the Principles and Practice of Programming in Java (PPPJ), August 2011.
81. S. Wei, M. Potkonjak, Scalable Consistency-based Hardware Trojan Detection and Diagnosis, The 5th International Conference on Network and System Security, pp. 176-183, September 2011.
82. Beayna Grigorian, Marco Vitanza, Jason Cong, and Glenn Reinman. Accelerating Vision and Navigation Applications on a Customizable Platform. International Conference on Application-specific Systems, Architectures and Processors (ASAP), Sep 2011.
83. Sanjay Chatterjee, Max Grossman, Alina Sbirlea, Vivek Sarkar. Dynamic Task Parallelism with a GPU Work-Stealing Runtime System. 2011 Workshop on Languages and Compilers for Parallel Computing (LCPC), September 2011.
84. Edwin Westbrook, Jisheng Zhao, Zoran Budimlic, Vivek Sarkar. Permission Regions for Race-Free Parallelism. Proceedings of the 2nd International Conference on Runtime Verification (RV ’11), September 2011.
85. Sagnak Tasirlar, Vivek Sarkar. Data-Driven Tasks and their Implementation. Proceedings of the International Conference on Parallel Processing (ICPP) 2011, September 2011.
86. S. Wei, F. Koushanfar, M. Potkonjak, Integrated Circuit Digital Rights Management Techniques Using Physical Level Characterization, ACM Workshop onDigital Rights Management, pp. 3-14, October 2011.
87. M. Rofouei, M. Sarrafzadeh, M. Potkonjak, Detecting Local Events Using Global Sensing, IEEE Sensors, pp. 1165-1168, October 2011.
88. S. Meguerdichian, M. Potkonjak, Security Primitives and Protocols for Ultra Low Power Sensor Systems, IEEE Sensors, pp. 1225-1228, October 2011.
89. J. B. Wendt, M. Potkonjak, Medical Diagnostic-Based Sensor Selection, IEEE Sensors, pp. 1507-1510, October 2011.
90. J. B. Wendt, M. Potkonjak, Nanotechnology-Based Trusted Remote Sensing, IEEE Sensors, pp. 1213-1216, October 2011.
91. Y. Chen, J. Cong and G. Reinman, “HC-Sim: A Fast and Exact L1 Cache Simulator with Scratchpad Memory Co-Simulation Support”, Proceedings of the 9th International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS 2011), Taipei, Taiwan, pp. 295-304, October 2011.
92. K. Therdsteerasukdi, G. Byun, J. Ir, G. Reinman, J. Cong and M.F. Chang, “The DIMM Tree Architecture: A High Bandwidth and Scalable Memory System”, Proceedings of the 2011 IEEE International Conference on Computer Design (ICCD 2011), Amherst, Massachusetts, pp. 388-395, October 2011.
93. Yu-Ting Chen, Jason Cong and Glenn Reinman. HC-Sim: A Fast and Exact L1 Cache Simulator with Scratchpad Memory Co-simulation Support. International Conference on Hardware/Software Co-Design and System Synthesis (CODES+ISSS), Oct 2011.
94. Jisheng Zhao, Vivek Sarkar. Intermediate Language Extensions for Parallelism. 5th Workshop on Virtual Machine and Intermediate Languages (VMIL), October 2011.
95. Adrian Prantl, Thomas Epperly, Shams Imam, Vivek Sarkar. Interfacing Chapel with Traditional HPC Programming Languages. Fifth Conference on Partitioned Global Address Space Programming Models (PGAS), October 2011.
96. Dragos Sbirlea, Jun Shirako, Ryan Newton, Vivek Sarkar. SCnC: Efficient Unification of Streaming with Dynamic Task Parallelism. Proceeding of the Data-Flow Execution Models for Extreme Scale Computing (DFM 2011), in conjunction with PACT 2011, October 2011.
97. S. Wei, A. Nahapetian, M. Potkonjak, Robust Passive Hardware Metering, International Conference on Computer-Aided Design, pp. 802-809, November 2011.
98. J. Cong, P. Zhang and Y. Zou, “Combined Loop Transformation and Hierarchy Allocation for Data Reuse Optimization”, Proceedings of the 2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2011), San Jose, CA, pp. 185-192, November 2011.
99. J. Cong and K. Gururaj, “Assuring Application-Level Correctness against Soft Errors”, Proceedings of the 2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2011), San Jose, CA, pp. 150-157, November 2011.
100. J. Cong, Y. Huang and B. Yuan, “A Tree-Based Topology Synthesis for On-Chip Network”, Proceedings of the 2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2011), San Jose, CA, pp. 651-658, November 2011.
101. Andrew E. Waters, Aswin C. Sankaranarayanan, Richard G. Baraniuk, “SpaRCS: Recovering Low-Rank and Sparse Matrices from Compressive Measurements”, in Advances in Neural Information Processing Systems (NIPS), Granada, Spain, December 2011.
102. A. Maleki, M. Narayan, and R. G. Baraniuk, “Suboptimality of Nonlocal Means for Images with Sharp Edges”, submitted to Appl. Comput. Harmon. Anal., 2011.
103. A. Maleki, M. Narayan, R. G. Baraniuk, “Anisotropic nonlocal means”, submitted to Appl. Comput. Harmon. Anal., 2011.
104. A. Maleki, L. Anitori, Z. Yang, R. G. Baraniuk, “Asymptotic analysis of complex LASSO via complex approximate message passing (CAMP),” submitted to IEEE Trans. Inf. Theory, 2011.
105. M. F. Duarte and R. G. Baraniuk, “Spectral Compressive Sensing”, submitted to Appl. And Comput. Harmon. Anal., 2011.
106. Ming Yan, Jianwen Chen, Luminita A. Vese, John Villasenor, Alex Bui and Jason Cong, EM+TV Based Reconstruction for Cone-Beam CT with Reduced Radiation, Advances in Visual Computing, Lecture Notes in Computer Science, 2011, Volume 6938/2011, 1-10
107. Carl Lederman, Luminita Vese and Aichi Chien, Registration for 3D Morphological Comparison of Brain Aneurysm Growth, Advances in Visual Computing Lecture Notes in Computer Science, 2011, Volume 6938/2011, 392-399.
108. Pascal Getreuer, Melissa Tong and Luminita A. Vese, A Variational Model for the Restoration of MR Images Corrupted by Blur and Rician Noise, Advances in Visual Computing Lecture Notes in Computer Science, 2011, Volume 6938/2011, 686-698
109. Ming Yan, EM-Type Algorithms for Image Reconstruction with Background Emission and Poisson Noise, Advances in Visual Computing Lecture Notes in Computer Science, 2011, Volume 6938/2011, 33-42.
2012 (Total 65)
110. J. Cong, M.A. Ghodrat, M. Gill, H. Huang, B. Liu, R. Prabhakar, G. Reinman and M. Vitanza, “Compilation and Architecture Support for Customized Vector Instruction”, Proceedings of the 17th Asia and South Pacific Design Automation Conference (ASPDAC 2012), Sydney, Australia, pp. 652-657, January 2012.(Invited paper)
111. A. Bui, K. Cheng, J. Cong, L. Vese, Y. Wang, B. Yuan and Y. Zou, “Platform Characterization for Domain-Specific Computing (invited paper) “, Proc. Conference on Asia South Pacific Design Automation(ASPDAC), Sydney, Australia, Jan 2012
112. K. Stock, L.-N. Pouchet, and P. Sadayappan. Using machine learning to improve automatic vectorization. ACM Trans. Archit. Code Optim., 8(4):50:1-50:23, Jan. 2012.
113. Kathleen Knobe, Michael G. Burke, “The Tuning Language for Concurrent Collections”, Proceedings of the 2012 International Workshop on Compilers for Parallel Computing (CPC 2012), January 2012.
114. M. F. Duarte and R. G. Baraniuk, “Kronecker Compressive Sensing”, IEEE Transactions on Image Processing, vol. 21, no. 2, pp. 494-504, Feb., 2012.
115. J. Zheng, M. Potkonjak, Securing Netlist-Level FPGA Design through Exploiting Process Variation and Degradation, pp. 129-139, FPGA, February 2012.
116. Y Kim, GS Byun, A Tang, CP Jou, HH Hsieh, G Reinman, J Cong, M.C. F Chang, “An 8Gb/s/pin 4pJ/b/pin Single-T-Line Dual (Base+RF) Band Simultaneous Bidirectional Mobile Memory I/O Interface with Inter-Channel Interference Suppression”, International Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2012 IEEE International, page 50-52, Feb. 2012.
117. J. Chen, J. Cong, M. Yan and Y. Zou, ” FPGA-Accelerated 3D Reconstruction using Compressive Sensing”, Proc. International Symposium on Field-Programmable Gate Arrays(FPGA), Monterey CA, Feb 2012
118. J. Cong, M. Huang, B. Liu, P. Zhang and Y. Zou, “Combining Module Selection and Replication for Throughput-Driven Streaming Programs”, Proceedings of Design, Automation and Test in Europe (DATE 2012), Dresden, Germany, March 2012.
119. Y. Chen, J. Cong, H. Huang, B. Liu, C. Liu, M. Potkonjak and G. Reinman, “Dynamically Reconfigurable Hybrid Cache: An Energy-Efficient Last-Level Cache Design”, Proceedings of Design, Automation and Test in Europe (DATE 2012), Dresden, Germany, March 2012.
120. A. C. Sankaranarayanan, C. Studer, and R. G. Baraniuk, “CS-MUVI: Video Compressive Sensing for Spatial-Multiplexing Cameras”, IEEE International Conference on Computational Photography, Seattle, WA, April, 2012.
121. J. B. Wendt, S. Meguerdichian, H. Noshadi, M. Potkonjak, Energy and Cost Reduction in Localized Multisensory Systems through Application-Driven Compression”, Data Compression Cpnference, page 411, April 2012.
122. Shams Imam, Vivek Sarkar. Habanero-Scala: Async-Finish Programming in Scala. The Third Scala Workshop (Scala Days 2012), April 2012.
123. Jun Shirako, Kamal Sharma, Naznin Fauzia, Louis-Noel Pouchet, J. Ramanujam, P. Sadayappan, Vivek Sarkar. Analytical Bounds for Optimal Tile Size Selection. Proceedings of the 2012 International Conference on Compiler Construction (CC 2012), April 2012.
124. A. Mirhoseini, M. Potkonjak, F. Koushanfar, Coding-based energy minimization for phase change memory, Design Automation Conference, pp, 68-76, June 2012.
125. S. Wei, K. Li, F. Koushanfar, M. Potkonjak, Hardware Trojan horse benchmark via optimal creation and placement of malicious circuitry, DAC, pp. 90-95, June 2012.
126. Y. Kim, S.-W. Tam, G.-S. Byun, H. Wu, L. Nan, G. Reinman, J. Cong, .and M.-C. F. Chang, “Analysis of Noncoherent ASK Modulation-Based RF-Interconnect for Memory Interface”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Jun. 2012.
127. J. Cong, P. Zhang and Y. Zou, “Optimizing Memory Hierarchy Allocation with Loop Transformations for High-Level Synthesis”, Proceedings of the 49th Annual Design Automation Conference (DAC 2012), San Francisco, CA, June 2012.
128. J. Cong, M.A. Ghodrat, M. Gill, B. Grigorian and G. Reinman, “Architecture Support for Accelerator-Rich CMPs”, Proceedings of the 49th Annual Design Automation Conference (DAC 2012), San Francisco, CA, June 2012.
129. A. Sbirlea, Y. Zou, Z. Budimlic, J. Cong and V. Sarkar, Mapping a Data-Flow Programming Model onto Heterogeneous Platforms, Proc. ACM SIGPLAN/SIGBED Conference on. Languages, Compilers, Tools and Theory for Embedded Systems (LCTES), Beijing, China, Jun 2012
130. Jason Cong, Mohammad Ali Ghodrat, Michael Gill, Beayna Grigorian, and Glenn Reinman. Accelerator-Rich Architecture for Power-Constrained CMPs. Dark Silicon Workshop (DaSi – held in conjunction with ISCA), Jun 2012
131. Alina Sbirlea, Yi Zou, Zoran Budimlic, Jason Cong, Vivek Sarkar. Mapping a Data-Flow Programming Model onto Heterogeneous Platforms. Conference on Languages, Compilers, Tools and Theory for Embedded Systems (LCTES), June 2012.
132. Raghavan Raman, Jisheng Zhao, Vivek Sarkar, Martin Vechev, Eran Yahav. Scalable and Precise Dynamic Data Race Detection for Structured Parallelism. 33rd ACM SIGPLAN conference on Programming Language Design and Implementation (PLDI), June 2012.
133. Edwin Westbrook, Jisheng Zhao, Zoran Budimlic, Vivek Sarkar. Practical Permissions for Race-Free Parallelism. 26th European Conference on Object-Oriented Programming (ECOOP), June 2012.
134. J. V. Shi, A. C. Sankaranarayanan, C. Studer, and R. G. Baraniuk, “Video Compressive Sensing for Dynamic MRI”, Annual Computational Neuroscience Meeting (CNS), Atlanta, GA, July 21-26, 2012.
135. C. Hedge and R. G. Baraniuk, “SPIN: Iterative Signal Recovery on Incoherent Manifolds”, IEEE International Symposium on Information Theory (ISIT), Cambridge, MA, Jul., 2012.
136. Yu-Ting Chen, Jason Cong, Hui Huang, Chunyue Liu, Raghu Prabhakar and Glenn Reinman. Static and Dynamic Co-Optimizations for Blocks Mapping in Hybrid Caches. International Symposium on Low Power Electronics and Design (ISLPED), Jul/Aug 2012.
137. Shams Imam, Vivek Sarkar. Implicit Multicore Parallelism using CnC-Python. Eleventh annual Scientific Computing with Python conference (SciPy 2012), July 2012.
138. Jason Cong, Mohammad Ali Ghodrat, Michael Gill, Beayna Grigorian, Glenn Reinman, “CHARM: A Composable Heterogeneous Accelerator-Rich Microprocessor”, Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2012).
139. Jason Cong, Mohammad Ali Ghodrat, Michael Gill, Chunyue Liu, Glenn Reinman, “BiN: A Buffer-in-NUCA Scheme for Accelerator-Rich CMPs”, Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2012).
140. Jason Cong and Bo Yuan, “Energy-Efficient Scheduling on Heterogeneous Multi-core Architectures”, Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2012).
141. J. B. Wendt, S. Meguerdichian, H. Noshadi, M. Potkonjak, Semantics-driven Sensor Configuration for Energy Reduction in Medical Sensor Networks, International Symposium on Low Power Electronics and Design, August 2012.
142. J. Zheng, E. Chen, M. Potkonjak, A Benign Hardware Trojan on FPGA-based Embedded Systems, International Conference on Field Programmable Logic and Applications, August 2012.
143. Dragos Sbirlea, Kathleen Knobe, Vivek Sarkar. Folding of Tagged Single Assignment Values for Memory-Efficient Parallelism. International European Conference on Parallel and Distributed Computing (Euro-Par), August 2012.
144. Priya Unnikrishnan, Jun Shirako, Kit Barton, Sanjay Chatterjee, Raul Silvera, Vivek Sarkar. A Practical Approach to DOACROSS Parallelization. International European Conference on Parallel and Distributed Computing (Euro-Par), August 2012.
145. S. Meguerdichian, M. Potkonjak, Using Standardized Quantization for Multi-Party PPUF Matching: Foundations and Applications, International Conference on Computer-Aided Design, November 2012.
146. S. Wei, K. Li, F. Koushanfar, M. Potkonjak, Provably Complete Hardware Trojan Detection Using Test Point Insertion International Conference on Computer-Aided Design, November 2012.
147. A. C. Sankaranarayanan, P. Turaga, R. Chellappa, and R. G. Baraniuk, “Compressive Acquisition of Dynamic Scenes”, submitted to SIAM J. Imaging Sci., 2012.
148. C. Hedge and R. G. Baraniuk, “Signal Recovery on Incoherent Manifolds”, submitted to IEEE. Trans. Inf. Theory, 2012.
149. S. Wei, A. Nahapetian, M. Nelson, F. Koushanfar, M. Potkonjak, Gate Characterization Using Singular Value Decomposition: Foundations and Applications, IEEE Transactions on Information Forensics and Security, 7(2) pp. 765-773, 2012.
150. S. Wei, M. Potkonjak, Scalable Hardware Trojan Diagnosis, IEEE Trans. VLSI Syst. 20(6) pp. 1049-1057, 2012.
151. Y.-C. Wang and K.-T. Cheng, “Energy and Performance Characterization of Mobile Heterogeneous Computing “, submitted to IEEE Workshop on Signal Processing Systems (SiPS 2012).
152. Y.-C. Wang, Y. Gong, Y. Teng, and K.-T. Cheng, “Acceleration and Energy Optimization of Medical Image Visualization on Mobile Devices”, submitted to IEEE International Symposium on Workload Characterization (IISWC 2012).
153. X. Yang, and K. -T. Tim Cheng, “Accelerating SURF on mobile devices”, submitted to ACM Multimedia 2012.
154. A. Ghofrani, R. Parikh, S. Shamshiri, A. DeOrio, K. -T. Cheng, and V. Bertacco, “Comprehensive Online Defect Diagnosis in On-Chip Networks”, IEEE VLSI Test Symposium.
155. H. Wu, L. Nan, S.-W. Tam, H.-H. Hsieh, C. Jou, G. Reinman, J. Cong, and M.-C. F. Chang, “A 60GHz On-Chip RF-Interconnect with lambda/4 Coupler for 5Gbps Bi-Directional Communication and Multi-Drop Arbitration”, to be presented in IEEE Custom Integrated Circuits Conference 2012.
156. Jens Palsberg, “Overloading is NP-Complete”, Logic and Program Semantics, pages 204-218, LNCS 7230, Springer, 2012.
157. Jonathan K. Lee, Jens Palsberg, Rupak Majumdar, Hong Hong, “Efficient May Happen in Parallel Analysis for Async-Finish Parallelism”, Static Analysis Symposium 2012.
158. J. Holewinski, , L.-N. Pouchet, and P. Sadayappan. High-performance code generation for stencil computations on gpu architectures. In Proceedings of the 26th International Conference on Supercomputing, ICS ’12. ACM, 2012.
159. J. Holewinski, R. Ramamurthi, M. Ravishankar, N. Fauzia, L.-N. Pouchet, A. Rountev, and P. Sadayappan. Dynamic trace-based analysis of vectorization potential of applications. In Proceedings of the 33rd ACM SIGPLAN conference on Programming Language Design and Implementation, PLDI ’12, pages 371-382. ACM, 2012.
160. R.G. Baraniuk, Z. Budimlic, M. Burke, S. Imam, K. Knobe, V. Sarkar, J.V. Shi. Parallelizing compressive sensing MRI via CnC-Babel and Matlab. 4th Annual Concurrent Collections (CnC) Workshop, Urbana Champaign, IL, USA, Dec. 6-7 2012.
161. Jack B. Dennis, Guang R. Gao, Vivek Sarkar. Determinacy and Repeatability of Parallel Program Schemata. Workshop on Data-Flow Execution Models for Extreme Scale Computing (DFM 2012).
162. Shams Imam, Vivek Sarkar. Integrating Task Parallelism with Actors. Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), October 2012.
163. Bin Liu. Behavioral Synthesis for Nanoscale Intergrated Circuits. Ph.D Thesis, Henri Samueli School of Engineering, University of California, Los Angeles, CA, USA, Dec. 2012.
164. Chunyue Liu. Architecture Support for Customizable Domain-Specific Computing. Ph.D Thesis, Henri Samueli School of Engineering, University of California, Los Angeles, CA, USA, Nov. 2012
165. Raghavan Raman. Dynamic Data Race Detection for Structured Parallelism. Ph.D. Thesis, August 2012.
166. A.C. Sankaranarayanan, C. Studer, R.G. Baraniuk. CS-MUVI: Video compressive sensing for spatial-multiplexing camera. IEEE International Conference on Computational Photography, Seattle, WA, USA, Sept. 27-29 2012.
167. Dragos Sbirlea, Kathleen Knobe, Vivek Sarkar. Folding of Tagged Single Assignment Values for Memory-Efficient Parallelism. International European Conference on Parallel and Distributed Computing (Euro-Par), August 2012.
168. J.V. Shi, W. Yin, R.G. Baraniuk. Video compressive sensing for dynamic MRI. 6th Intl Workshop on Statistical Analysis of Neuronal Data (SAND), Pittsburg, PA, USA, May 31 – Jun. 2 2012.
169. J.V. Shi, A.C. Sankaranarayanan, C. Studer, R.G. Baraniuk. Video compressive sensing for dynamic MRI. Computational Neurosciences (CNS) Workshop on Methods of Information Theory in Computational Neuroscience, Atlanta, GA, USA, July 25-26 2012.
170. Priya Unnikrishnan, Jun Shirako, Kit Barton, Sanjay Chatterjee, Raul Silvera, Vivek Sarkar. A Practical Approach to DOACROSS Parallelization. International European Conference on Parallel and Distributed Computing (Euro-Par), August 2012.
171. Yi-Chu Wang and Kwang-Ting (Tim) Cheng, “Energy and Performance Characterization of Mobile Heterogeneous Computing,” IEEE Workshop on Signal Processing System 2012 (SiPS 2012), Quebec, Canada, Oct. 17-19 2012.
172. Xin Yang and Kwang-Ting (Tim) Cheng, “LDB: An Ultra-Fast Feature for Scalable Augmened Reality on Mobile Devices,” International Symposium on Mixed and Augmented Reality (ISMAR), Atlanta, GA, USA, Nov 5-8. 2012. (nominated as the best paper)
173. Xin Yang and Kwang-Ting (Tim) Cheng, “Accelerating SURF Detector on Mobile Devices,” ACM International Conference on Multimedia (ACM MM), Nara, Japan, Oct 29 – Nov 2 2012.
174. Yi Zou. Coprocessor Acceleration for Domain-Specific Computing. Ph.D Thesis, Henri Samueli School of Engineering, University of California, Los Angeles, CA, USA, July 2012.
2013 (Total 65)
175. Rajkishore Barik, Jisheng Zhao, Vivek Sarkar. Interprocedural Strength Reduction of Critical Sections in Explicitly-Parallel Programs. The 22nd International Conference on Parallel Architectures and Compilation Techniques (PACT), Edimburgh, UK, Sept. 7-11 2013.
176. Sanjay Chatterjee, Sagnak Tasirlar, Zoran Budimlic, Vincent Cavé, Milind Chabbi, Max Grossman, Yonghong Yan, Vivek Sarkar. Integrating Asynchronous Task Parallelism with MPI. IEEE International Parallel & Distributed Processing Symposium (IPDPS), Phoenix, AZ, USA, May 19-23 2013.
177. Yu-Ting Chen, Jason Cong, Mohammad Ali Ghodrat, Muhuan Huang, Chunyue Liu, Bingjun Xiao, Yi Zou. Accelerator-rich CMPs: From concept to real hardware. International Conference on Computer Design (ICCD) 2013.
178. N. Conos, S. Meguerdichian, S. Wei, and M. Potkonjak, “Maximizing yield in near-threshold computing under the presence of process variation,” International Workshop on Power And Timing Modeling Optimization and Simulation (PATMOS), 2013.
179. Kwang-Ting (Tim) Cheng, Xin Yang and Yi-Chu Wang, “Performance Optimization of Vision Apps on Mobile Application Processor,” International Conference on Systems, Signals and Image Processing (IWSSIP), Bucharest, Romania, July 7-9 2013 (Invited Paper).
180. J. Cong and B. Xiao. Optimization of Interconnects Between Accelerators and Shared Memories in Dark Silicon. Proceedings of the 2013 International Conference on Computer-Aided Design (ICCAD 2013), pp. 630-637, November 2013.
181. J. Cong, M.A. Ghodrat, M. Gill, B. Grigorian, H. Huang and G. Reinman. Composable Accelerator-rich Microprocessor Enhanced for Adaptivity and Longevity. Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2013), pp. 305-310, September 2013.
182. Boubacar Diouf, Can Hantas, Albert Cohen, Ozcan Ozturk and Jens Palsberg. A Decoupled Local Memory Allocator. ACM Transactions on Architecture and Code Optimization. Volume 9. Number 4. 2013.
183. Mahdi Eslamimehr and Jens Palsberg. Testing versus Static Analysis of Maximum Stack Size. Proceedings of COMPSAC’13, 37nd Annual International Computer Software and Applications Conference. Kyoto, Japan. July 2013.
184. A. Ghofrani, M. Lastras, and K-T. Cheng. Towards Data Reliable Crossbar-Based Memristive Memories. IEEE International Test Conference (ITC). Anaheim, CA, USA. Sept. 6-13 2013.
185. Max Grossman, Mauricio Breternitz, Vivek Sarkar. HadoopCL: MapReduce on Distributed Heterogeneous Platforms Through Seamless Integration of Hadoop and OpenCL. International Workshop on High Performance Data Intensive Computing, May 2013.
186. Max Grossman. Programming Models and Runtimes for Heterogeneous Systems. M.S. Thesis, April 2013.
187. Karthik Gururaj. Energy efficient solutions using static-dynamic optimizations. Ph.D Thesis, Henri Samueli School of Engineering, University of California, Los Angeles, CA, USA, June 2013
188. Akihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar. Safe Acceleration of Habanero-Java Program with OpenCL Generation. 10th International Conference on the Principles and Practice of Programming in Java (PPPJ), Stuttgart, Germany, Sept 11-13 2013.
189. Tom Henretty, Justin Holewinski, Naser Sedaghati, Louis-Nöel Pouchet, Atanas Rountev, and P. Sadayappan, “Stencil Domain Specific Language (SDSL) User Guide”, 45 pp., Technical report OSU-CISRC-4/13-TR09.
190. Tom Henretty, Richard Veras, Franz Franchetti, Louis-Noël Pouchet, J. Ramanujam and P. Sadayappan, “A Stencil Compiler for Short-Vector SIMD Architectures,” Proc. ACM International Conference on Supercomputing (ICS’13), Eugene, OR, June 2013.
191. Martin Kong, Richard Veras, Kevin Stock, Franz Franchetti, Louis-Noël Pouchet and P. Sadayappan, “When Polyhedral Transformations Meet SIMD Code Generation,” Proc. ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI’13), Seattle, WA, June 2013.
192. Mohsen Lesani, Jens Palsberg: Proving Non-opacity. DISC 2013: 106-120. An earlier version was presented at TRANSACT 2013, Workshop on Transactional Computing; Houston, Texas; March 2013.
193. Deepak Majeti, Raj Barik, Max Grossman, Jisheng Zhao, Vivek Sarkar. Compiler-Driven Data Layout Transformation for Heterogeneous Platforms. The 11th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar 2013), Aachen, Germany, August 26 2013.
194. V. Krishna Nandivada, Jun Shirako, Jisheng Zhao, Vivek Sarkar. A Transformation Framework for Optimizing Task-Parallelism Programs. ACM Transactions on Programming Languages and Systems, Volume 35, May 2013.
195. Eunjung Park, John Cavazos, Louis-Noël Pouchet, Cédric Bastoul, Albert Cohen and P. Sadayappan, “Predictive Modeling in a Polyhedral Optimization Space,” International Journal of Parallel Programming (IJPP), Volume 41, Issue 5, pp. 704-750, 2013.
196. Louis-Noël Pouchet, Peng Zhang, P. Sadayappan and Jason Cong,“Polyhedral-Based Data Reuse Optimization for Configurable Computing,” Proc. 21st ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA’13), Monterey, CA, February 2013.
197. Mahesh Ravishankar, John Eisenlohr, Louis-Noël Pouchet, J. Ramanujam, Atanas Rountev and P. Sadayappan, “Code Generation for Parallel Execution of a Class of Irregular Loops on Distributed Memory Systems,” Proc. IEEE Conference on Conference on High Performance Computing, Networking, Storage and Analysis (SC’12), Salt Lake City, Utah, November 2013.
198. A.C. Sankaranarayanan, P. Turaga, R. Chellappa, R.G. Baraniuk. Compressive acquisition of dynamic scenes. SIAM Journal of Imaging Sciences, 2013. In submission.
199. Kamal Sharma, Ian Karlin, Jeff Keasler, James McGraw, Vivek Sarkar. User-Specified and Automatic Data Layout Selection for Portable Performance. Rice University Computer Science technical report TR13-03, April 2013.
200. J.V. Shi, W. Yin, A.C. Sankaranarayanan, R.G. Baraniuk. Video compressive sensing for dynamic MRI. Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD),
Durham, NC, Jul. 23-25 2013.
201. Jun Shirako, Vivek Sarkar. Oil and Water can mix! Experiences with integrating Polyhedral and AST-based Transformations. 17th Workshop on Compilers for Parallel Programming (CPC), Lyon, France, July 3-5 2013.
202. Jun Shirako, Vincent Cavé, Jisheng Zhao, Vivek Sarkar. Finish Accumulators: a Deterministic Reduction Construct for Dynamic Task Parallelism. The 4th Workshop on Determinism and Correctness in Parallel Programming (WoDet), March 2013.
203. Sheng Wei, Jason Xin Zheng, Miodrag Potkonjak: Low power FPGA design using post-silicon device aging (abstract only). FPGA 2013: 277..
204. M. Yan, A. Bui, J. Cong and L.A. Vese. General Convergent Expectation Maximization (EM)-Type Algorithms for Image Reconstruction, Inverse Problems and Imaging, 7 (2013), 1007-1029.
205. M. Yan, Restoration of images corrupted by impulse noise and mixed Gaussian impulse noise using blind inpainting, SIAM Journal on Imaging Sciences, 6 (2013), 1227-1245.
206. M. Yan, Y. Yang and S. Osher, Exact low-rank matrix completion from sparsely corrupted entries via adaptive outlier pursuit, Journal of Scientific Computing, 56 (2013), 433-449.
207. M. Yan, Convergence analysis of SART: optimization and statistics, International Journal of Computer Mathematics, 90 (2013), 30-47.
208. Xin Yang. “Robust, Distinctive and High-Speed Local Features for Real-Time Applications on Mobile Devices”, UCSB PhD thesis, March 2013.
209. W. Zuo, P. Li, D. Chen, L-N. Pouchet, S. Zhong and J. Cong. Improving Polyhedral Code Generation for High-Level Synthesis. Proceedings of the International Conference on Hardware/Software Co-design and System Synthesis (CODES+ISSS 2013), Montreal, Canada, pp. 1-10, September-October 2013 (Best Paper Award).
210. M. Lastras, A. Ghofrani, and K-T. Cheng, “Architecting Low Power Crossbar-Based Memristive RAM”, Non-Volatile Memory Workshop , March 2013.
211. J. Cong and B. Xiao. Defect Tolerance in Nanodevice-based Programmable Interconnects: Utilization Beyond Avoidance. Proceedings of the 50th Annual Design Automation Conference (DAC 2013), Austin, TX, Article 9, May-June 2013.
212. C. Hegde, A. C. Sankaranarayanan, and R. G. Baraniuk, “Learning Measurement Matrices for Redundant Dictionaries,” Signal Processing with Adaptive Sparse Structured Representations (SPARS), Lausanne, Switzerland, July 2013.
213. Akihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar, Speculative Execution of Parallel Programs with Precise Exception Semantics on GPUs, the 26th International Workshop on Languages and Compilers for Parallel Computing (LCPC), September 2013.
214. Jun Shirako, Priya Unnikrishnan, Sanjay Chatterjee, Kelvin Li, Vivek Sarkar, Expressing DOACROSS Loop Dependencies in OpenMP, 9th International Workshop on OpenMP (IWOMP), September 2013.
215. Akihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar, Accelerating Habanero-Java Programs with OpenCL Generation, 10th International Conference on the Principles and Practice of Programming in Java (PPPJ), September 2013.
216. Dragoș Sbîrlea, Alina Sbîrlea, Kyle B. Wheeler, Vivek Sarkar, The Flexible Preconditions Model for Macro-Dataflow Execution, the 3rd Data-Flow Execution Models for Extreme Scale Computing (DFM), September 2013.
217. J. Cong, M. Ercegovac, M. Huang, S. Li and B. Xiao. Energy-Efficient Computing Using Adaptive Table Lookup Based on Nonvolatile Memories. Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2013), pp. 280 – 285, September 2013.
218. Jisheng Zhao, Roberto Lublinerman, Zoran Budimlic, Swarat Chaudhuri, Vivek Sarkar, Isolation for Nested Task Parallelism, the 29th International Conference on the Object-Oriented Programming, System, Languages and Application (OOPSLA), October 2013.
219. Xin Yang and K.-T. Cheng, Learning Optimized Local Difference Binaries for Scalable Augmented Reality on Mobile Devices, IEEE Transaction on Visualization and Computer Graphics (TVCG), Nov. 2013.
220. J. B. Wendt, M. Potkonjak, “Improving Energy Efficiency in Sensing Subsystems via Near-Threshold Computing and Device Aging”, IEEE Sensors, pp. 1-4, November 2013.
221. T. Xu, M. Potkonjak, “Lightweight Digital Hardware Random Number Generators”, IEEE Sensors, pp. 1-4, November 2013.
222. H.T. Blair, J. Cong, D. Wu. FPGA Simulation Engine for Customized Construction of Neural Microcircuit. Proceedings of the 2013 International Conference on Computer-Aided Design (ICCAD 2013), pp. 607-614, November 2013.
223. Rajkishore Barik, Jisheng Zhao and Vivek Sarkar, A Decoupled non-SSA Global Register Allocation using Bipartite Liveness Graphs, ACM Transactions on Architecture and Code Optimization (TACO), Volume 10 Issue 4, December 2013.
224. Sanjay Chatterjee. Runtime Systems for Extreme Scale Platforms, Ph.D Thesis, December 2013.
225. Y. Kim, L. Nan, J. Cong, M-C.F. Chang. High-Speed mm-Wave Data-Link Based on Hollow Plastic Cable and CMOS Transceiver. IEEE Microwave and Wireless Components Letters (MWCL), Volume 23, Issue 12, pp. 674-676, December 2013.
226. T. Goldstein, E. Esser, and R. G. Baraniuk, “Adaptive Primal Dual Optimization for Image Processing and Learning,” Neural Information Processing Systems (NIPS), Optimization for Machine Learning Workshop, Lake Tahoe, December 2013.
227. D. Vats and R. G. Baraniuk, “When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements,” Neural Information Processing Systems (NIPS), Lake Tahoe, December 2013.
228. Vishwa Goudar, Miodrag Potkonjak. Fault-Tolerant and Low-Power Sampling Schedules for Localized BASNs. IEEE J. Emerg. Sel. Topics Circuits Syst. 3(1): 86-95 (2013)
229. Jong Hoon Ahnn, Miodrag Potkonjak. mHealthMon: Toward Energy-Efficient and Distributed Mobile Health Monitoring Using Parallel Offloading. J. Medical Systems 37(5) (2013).
230. Sheng Wei, Jason Xin Zheng, Miodrag Potkonjak: Aging-based leakage energy reduction in FPGAs. FPL 2013: 1-4.
231. Nathaniel A. Conos, Miodrag Potkonjak. A temperature-aware synthesis approach for simultaneous delay and leakage optimization. ICCD 2013: 316-321.
232. Teng Xu, James Bradley Wendt, Miodrag Potkonjak. Digital bimodal function: An ultra-low energy security primitive. ISLPED 2013: 292-296.
233. Nathaniel A. Conos, Saro Meguerdichian, Miodrag Potkonjak. Gate sizing in the presence of gate switching activity and input vector control. VLSI-SoC 2013: 138-143.
234. Sheng Wei, Jong Hoon Ahnn, Miodrag Potkonjak. Energy attacks and defense techniques for wireless systems. WISEC 2013: 185-194.
235. Naznin Fauzia, Venmugil Elango, Mahesh Ravishankar, J. Ramanujam, Fabrice Rastello, Atanas Rountev, Louis-Noël Pouchet, and P. Sadayappan, “Beyond reuse distance analysis: Dynamic analysis for characterization of data locality potential,” ACM Trans. Archit. Code Optim. (TACO) vol. 10, No. 4, 2013.
236. T. Goldstein, L. Xu, Y. Li, K. F. Kelly, and R. G. Baraniuk, “The STOne Transform: Multiresolution Image Enhancement and Real-Time Compressive Video,” submitted to IEEE Transactions on Image Processing, 2013.
237. T. Goldstein, B. Donoghue, S. Setzer, and R. G. Baraniuk, “Fast Alternating Direction Optimization Methods,” submitted to SIAM Journal of Imaging Sciences, 2013.
238. A. Mousavi, A. Maleki, and R. G. Baraniuk, “Parameterless Optimal Approximate Message Passing,” submitted to Annals of Statistics, 2013.
239. A. Mousavi, A. Maleki, and R. G. Baraniuk, “Asymptotic Analysis of LASSO’s Solution Path with Implications for Approximate Message Passing,” submitted to Annals of Statistics, 2013.
2014 (Total 55)
240. Xin Yang and K.-T. Cheng, Local Difference Binary for Ultra-fast and Distinctive Feature Description, IEEE Transaction on Pattern Recognition and Machine Intelligence (TPAMI), Jan. 2014.
241. Jason Cong, Mohammad Ali Ghodrat, Michael Gill, Beayna Grigorian and Glenn Reinman. Architecture Support for Domain-Specific Accelerator-Rich CMPs. ACM Transactions on Embedded Computing Systems (TECS), Vol. 13, Issue 4s, April 2014, Article No. 131(Issue-in-progress).
242. Rishi Surendran, Rajkishore Barik, Jisheng Zhao, Vivek Sarkar, Inter-iteration Scalar Replacement Using Array SSA Form, The 23rd International Conference on Compiler Construction (CC 2014), April 2014.
243. Young-kyu Choi, Jason Cong, and Di Wu. FPGA Implementation of EM Algorithm for 3D CT Reconstruction. Proceedings of the 22nd IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), Boston, Massachusetts, May 2014.
244. Jason Cong, Hui Huang, Chiyuan Ma, Bingjun Xiao and Peipei Zhou. A Fully Pipelined and Dynamically Composable Architecture of CGRA. Proceedings of the 22nd IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), Boston, Massachusetts, May 2014.
245. C. Hegde, A. Sankaranarayanan, and R. G. Baraniuk, “Lie Operators for Compressive Sensing,” IEEE International Conference on Acoustics, Speech and Signal Processing – ICASSP’14, Florence, May 2014.
246. Kevin Stock, M. Kong, Tobias Grosser, Louis-Noel Pouchet, Fabrice Rastello, J. Ramanujam and P. Sadayappan, “A Framework for Enhancing Data Reuse via Associative Reordering,” ACM SIGPLAN conference on Programming Language Design and Implementation (PLDI), June 2014.
247. Venmugil Elango, Fabrice Rastello, Louis-Noël Pouchet, J. Ramanujam, and P. Sadayappan, “On Characterizing the Data Movement Complexity of Computational DAGs for Parallel Execution,” ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2014), June 2014.
248. Jason Cong, Mohammad Ali Ghodrat, Michael Gill, Beayna Grigorian, Karthik Gururaj, and Glenn Reinman. Accelerator-Rich Architectures: Opportunities and Progresses. Design Automation Conference (DAC), June 2014.
249. A. Rahimi., A. Ghofrani, M. Lastras, K-T. Cheng, R. Gupta, and L. Benini, “Energy-Efficient GPGPU Architectures via Collaborative Compilation and Memristive Memory-Based Computing”, in 51st ACM/EDAC/IEEE Design Automation Conference (DAC) 2014.
250. Shams Imam, Vivek Sarkar, Cooperative Scheduling of Parallel Tasks with General Synchronization Patterns, 28th European Conference on Object-Oriented Programming (ECOOP), July 2014.
251. Xin Yang, K.-T. Cheng, Aichi Chien, “Geodesic Active Contours with Adaptive Configuration for Cerebral Vessel and Aneurysm Segmentation,” International Conference on Pattern Recognition (ICPR), Aug. 2014.
252. Jason Cong, Muhuan Huang, Peng Zhang. Combining computation and communication optimizations in system synthesis for streaming applications. International Symposium on Field-Programmable Gate Arrays, FPGA 2014.
253. Mahdi Eslamimehr, Jens Palsberg: Race directed scheduling of concurrent programs. PPOPP 2014: 301-314.
254. Mohsen Lesani, Todd Millstein and Jens Palsberg. Automatic Atomicity Verification for Clients of Concurrent Data Structures. CAV 2014.
255. Mahsan Rofouei, Miodrag Potkonjak, Majid Sarrafzadeh. Energy Efficient Collaborative Sensing-Based Design: Soft Keyboard Case Study. IEEE T. Human-Machine Systems 44(1): 115-124 (2014).
256. Beayna Grigorian and Glenn Reinman. Dynamically Reliable Approximate Computing Using Light-weight Analysis, Workshop on Approximate Computing Across the System Stack (WACAS14), 2014.
257. J. Shi, W. Yin, A. Sankaranarayanan, and R. G. Baraniuk, Video Compressive Sensing for Dynamic MRI,” submitted to IEEE Transactions on Image Processing, 2014.
258. D. Vats and R. G. Baraniuk, “Swapping Variables for High-Dimensional Sparse Regression with Correlated Measurements,” submitted to Journal of Machine Learning Research, 2014.
259. Y. Li, C. Hegde, A. C. Sankaranarayanan, R. G. Baraniuk, and K. F. Kelly, “Compressive Image Classification via Secant Projections,” submitted to Optics Express, 2014.
260. C. Studer, T. Goldstein, W. Yin, and R. G. Baraniuk, “Democratic Representations,” submitted to IEEE Transactions on Information Theory, 2014.
261. C. Hegde, A. Sankaranarayanan, and R. G. Baraniuk, “Learning Manifolds in the Wild,” submitted to Applied and Computational Harmonic Analysis (ACHA), 2014.
262. D. Vats and R. G. Baraniuk, “Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression,” 17th International Conference on Artificial Intelligence and Statistics (AISTATS), Reykjavik, Iceland, 2014.
263. D. Vats, R. D. Nowak, and R. G. Baraniuk, “Active Learning for Undirected Graphical Model Selection,” 17th International Conference on Artificial Intelligence and Statistics (AISTATS), Reykjavik, Iceland, 2014.
264. Jason Cong, Henry Duwe, Rakesh Kumar, and Sen Li. Better-Than-Worst-Case Design: Progress and Opportunities. Journal of Computer Science and Technology, 29(4): 656–663 July 2014.
265. Hugh T. Blair, Allan Wu, and Jason Cong. “Oscillatory neurocomputing with ring attractors: a network architecture for mapping locations in space onto patterns of neural synchrony.” Philosophical Transactions of the Royal Society B: Biological Sciences 369.1635 (2014): 20120526.
266. F. Hormozdiari, E. Kostem, E. Y. Kang, B. Pasaniuc, & E. Eskin, Identifying causal variants at loci with multiple signals of association. Genetics, 497-508 doi:10.1534/genetics.114.16790. 198 (2), 2014.
267. Jason Cong, Peng Li , Bingjun Xiao, and Peng Zhang, “An Optimal Microarchitecture for Stencil Computation Acceleration Based on Non-Uniform Partitioning of Data Reuse Buffers”, Design Automation Conference, 2014.
268. Mahdi Eslamimehr and Jens Palsberg, “Sherlock: scalable deadlock detection for concurrent programs”, Proceedings of FSE’15, ACM SIGSOFT International Symposium on Foundations of Software Engineering, pages 353-365, 2014.
269. Xin Yang and Kwang-Ting (Tim) Cheng. Mobile Image Search: Challenges and Methods. Book Chapter: Mobile and Cloud Visual Media Computing (Springer), 2014.
270. Xin Yang and Kwang-Ting (Tim) Cheng. Scalable Augmented Reality on Mobile Devices: Applications, Challenges, Methods and Softwares. Book Chapter: Fundamentals of Wearable Computers and Augmented Reality, 2nd Edition, 2014.
271. Xin Yang, Chong Huang, Kwang-Ting (Tim) Cheng, libLDB: A Library for Extracting Ultrafast and Distinctive Binary Feature Description,” ACM Multimedia, Open Source Software Competition, 2014. Project Website.
272. Beayna Grigorian and Glenn Reinman (2014). Dynamically Adaptive and Reliable Approximate Computing Using Light-Weight Error Analysis. NASA/ESA Adaptive Hardware and Systems conference (AHS), Jul 2014.
273. Dragos Sbirlea, Zoran Budimlic, Vivek Sarkar. Bounded Memory Scheduling of Dynamic Task Graphs. International Conference on Parallel Architectures and Compilation Techniques (PACT), August 2014.
274. Jason Cong and Bingjun Xiao, “Minimizing Computation in Convolutional Neural Networks”, Proceedings of the 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 2014.
275. Muhuan Huang, Kevin Lim and Jason Cong, “A Scalable, High-Performance Customized Priority Queue”, Proceedings of the 24th International Conference on Field Programmable Logic and Applications (FPL 2014), Munich, Germany, September 2-4, 2014.
276. Beayna Grigorian and Glenn Reinman (2014). Accelerating Divergent Applications on SIMD Architectures Using Neural Networks. IEEE International Conference on Computer Design (ICCD), Oct 2014. New York City, NY.
277. Xin Yang, Kwang-Ting (Tim) Cheng, Aichi Chien, Accurate Vessel Segmentation with Progressive Contrast Enhancement and Canny Refinement, Asian Conference on Computer Vision (ACCV), Nov. 1-5, 2014, Singapore.
278. Jun Shirako, Louis-Noel Pouchet, Vivek Sarkar. Oil and Water Can Mix: An Integration of Polyhydral and AST-based Transformations. IEEE Conference on High Performance Computing, Networking, Storage and Analysis (SC’14), November 2014.
279. Alina Sbirlea, Louis-Noel Pouchet, Vivek Sarkar. DFGR: an Intermediate Graph Representation for Macro-Dataflow Programs. Fourth Workshop on Dataflow Execution Models for Extreme Scale Computing – in conjunction with PACT 2014 (DFM 2014).
280. V. Goudar, Z. Ren, P. Brochu, M. Potkonjak, Q. Pei (2014). Optimizing the Output of a Human-Powered Energy Harvesting System with Miniaturization and Integrated Control. 14 (7). IEEE Sensors Journal, July 2014, 14. 2084-2091.
281. M. Potkonjak, V. Goudar (2014). Public Physical Unclonable Functions. 102. (8). Proceedings of the IEEE, August 2014, 102. 1142-1156.
282. V. Goudar, M. Potkonjak (2014). A Robust Watermarking Technique for Secure Sharing of BASN Generated Medical Data. International Conference on Healthcare Informatics, pp. 162-170, September, 2014.
283. J. Zheng, M. Potkonjak, D. Li (2014). A Secure and Unclonable Embedded System using Instruction-level PUF Authentication. International Conference on Field Programmable Logic and Applications, pp. 1-4, September, 2014.
284. T. Xu, J. B. Wendt, M. Potkonjak (2014). Matched Digital PUFs for Low Power Security in Implantable Medical Devices. International Conference on Healthcare Informatics, pp. 33-38, September, 2014.
285. T. Xu, M. Potkonjak, (2014). Robust and Flexible FPGA-based Digital PUF. International Conference on Field Programmable Logic and Applications, pp. 1-6, September, 2014.
286. R. Yan, V. C. Shah, T. Xu, M. Potkonjak (2014).Security Defenses for vulnerable Medical Sensor Network. International Conference on Healthcare Informatics, (ICHI), pp. 300-309, September, 2014.
287. J. Zheng, M. Potkonjak (2014). A Digital PUF-based IP Protection Architecture for Network Embedded Systems. Symposium on Architectures for Networking and Communications Systems, pp.1-2, October, 2014.
288. J. B. Wendt, T. Xu, M. Potkonjak (2014). Secure Remote Sensing and Communication using Digital PUFs. Symposium on Architectures for Networking and Communications Systems, (ANCS), pp.173-184, October, 2014.
289. T. Xu, M. Potkonjak (2014). A Lightweight Security Primitive Using Laser-Based Fault Injection. IEEE Sensors, pp. 1248-1251, November, 2014.
290. R. Yan, T. Xu, M. Potkonjak (2014). Semantic Attacks on Wireless Medical Devices. IEEE Sensors, pp. 482-485, November, 2014.
291. T. Xu, J. B. Wendt, M. Potkonjak (2014). Ultra-Lightweight Symmetric-Key Cipher for Resource Constrained Systems. IEEE Sensors, pp. 1252-1255, November, 2014.
292. E. C. Chi, G. Allen, and R. G. Baraniuk (2014). Convex Biclustering. Biometric Methodology.
293. R. G. Baraniuk, S. Foucart, D. Needell, Y. Plan, M. Wootters (2014). Exponential Decay of Reconstruction Error from Binary Measurements of Sparse Signals. Submitted to IEEE Transactions on Information Theory.
294. Yunming Zhang. Optimized Runtime Systems for MapReduce Applications in Muliti-core Clusters. (2014). Rice University, M.S. Thesis.
2015 (Total 74)
295. Prasanth Chatarasi, Jun Shirako, Vivek Sarkar. Polyhedral Transformations of Explicitly Parallel Programs. 5th International Workshop on Polyhedral Compilation Techniques (IMPACT 2015), January 2015.
296. Beayna Grigorian, Nazanin Farahpour, and Glenn Reinman (2015). BRAINIAC: Bringing Reliable Accuracy Into Neurally- Implemented Approximate Computing. International Symposium on High-Performance Computer Architecture (HPCA), February 2015. San Francisco, CA.
297. Yu-Ting Chen, Jason Cong, and Bingjun Xiao, “ARACompiler: A Prototyping Flow and Evaluation Framework for Accelerator-Rich Architectures”, 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Philadelphia, PA, March 29-31, 2015.
298. Yu-Ting Chen, Jason Cong, Jie Lei, and Peng Wei, “A Novel High-Throughput Acceleration Engine for Read Alignment”, FCCM 2015, Vancouver, British Columbia, Canada, May 2015.
299. K.Y. Sung, D. Wu, F. Han, Z. Zhou, P. Hu, H. Wu, A. A. T. Bui, J. Cong. (2015). Customized CPU accelerated CS-based MRI reconstruction platform. Proc Intl Soc Magnetic Resonance in Medicine (ISMRM), May 2015. Toronto, ON, Canada.
300. Deepak Majeti, Vivek Sarkar. Heterogeneous Habanero-C (H2C): A Portable Programming Model for Heterogeneous Processors. Programming Models, Languages and Compilers for Manycore and Heterogeneous Architectures (PLC), 25th May 2015, Hyderabad, India. Co-located with IPDPS 2015
301. Jason Cong, Michael Gill, Yuchen Hao, Glenn Reinman, and Bo Yuan (2015). On-chip Interconnection Network for Accelerator-Rich Architectures. Design Automation Conference (DAC), San Francisco, CA, Jun 2015.
302. Nóirín Duggan, Egil Bae, Shiwen Shen, William Hsu, Alex Bui, Edward Jones, Martin Glavin, and Luminita Vese. “A Technique for Lung Nodule Candidate Detection in CT Using Global Minimization Methods.” In Energy Minimization Methods in Computer Vision and Pattern Recognition, pp. 478-491. Springer International Publishing, 2015.
303. Shiwen Shen, Alex AT Bui, Jason Cong, and William Hsu. “An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy.” Computers in biology and medicine 57 (2015): 139-149.
304. A. Rahimi, A. Ghofrani, K. -T. Tim Cheng, L. Benini, and R.K. Gupta, R. K., “Approximate Associative Memristive Memory for Energy-Efficient GPUs”, IEEE Design, Automation Test in Europe Conference Exhibition (DATE), 2015.
305. M. Angel Lastras-Montano, A. Ghofrani, and K.- T. Tim Cheng, “HReRAM: A Hybrid Reconfigurable Resistive Random-Access Memory”, Proceedings IEEE Design, Automation, and Test in Europe (DATE), 2015.
306. A. Ghofrani, M. Angel Lastras-Montano, and K.-T. Tim Cheng, “Toward Large-Scale Access-Transistor-Free Memristive Crossbars”, in 2015 20th Asia and South Pacific Design Automation Conference (ASP-DAC), 2015.
307. Qianyi Yu, Xin Yang, Kwang-Ting (Tim) Cheng, F Liang, Aichi Chien. Measurement of intracranial aneurysm growth, International Stroke Conference, 2015
308. Peng Li, Peng Zhang, Louis-Noël Pouchet, Jason Cong, “Resource-Aware Throughput Optimization for High-Level Synthesis”, The 23rd International Symposium on Field-Programmable Gate Arrays (FPGA 2015).
309. Riyaz Haque and Jens Palsberg, “Type Inference for Place-Oblivious Objects”, Proceedings of ECOOP’15, European Conference on Object-Oriented Programming, 2015.
310. Wei-Han Cho, Yilei Li, Yanghyo Kim, Po-Tsang Huang, Sheau Jiung Lee, Mau-Chung Frank Chang (2015). A 5.4-mW 4-Gb/s 5-Band QPSK Transceiver for Frequency-Division Multiplexing Memory Interface, submitted to the IEEE Custom Integrated Circuits Conference (CICC), San Jose, CA, Sep 2015.
311. J. W. J. Joo, E. Y. Kang, E. Org, N. Furlotte, B. Parks, A. J. Lusis, & E. Eskin, (2015). Efficient and accurate multiple- phenotypes regression method for high dimensional data considering population structure. In Research in computational molecular biology (RECOMB 2015) (pp. 136-153). Springer International Publishing. doi:10.1007/978-3-319-16706-0_1.
312. Max Grossman, Mauricio Breternitz, Vivek Sarkar. HadoopCL2: Motivating the Design of a Distributed, Heterogeneous Programming System With Machine-Learning Applications. IEEE Transactions on Parallel and Distributed Systems (TPDS). 2015.
313. Peng Zhang, Muhuan Huang, Bingjun Xiao, Hui Huang, and Jason Cong. “CMOST: A System-Level FPGA Complication Framework,” Design Automation Conference (DAC) 2015, San Francisco, CA, June 7-11, 2015.
314. Y-T. Chen, J. Cong, M. Gill, G. Reinman, and B. Xiao (2015). Customizable Computing – Synthesis Lectures on Computer Architecture Morgan and Claypool Publishers.
315. Xin Yang and Kwang-Ting (Tim) Cheng (2015). Fundamentals of Wearable Computers and Augmented Reality. Scalable Augmented Reality on Mobile Devices: Applications, Challenges, Methods and Softwares 2nd. CRC Press.
316. Shams Imam, Jisheng Zhao, Vivek Sarkar (2015). A Composable Deadlock-free Approach to Object-based Isolation. 21st International European Conference on Parallel and Distributed Computing (EuroPar’15), August 2015.
317. Martin Kong, Louis-Noel Pouchet, P. Sadayappan (2015). A Roofline-based Performance Estimator for Distributed Matrix-multiply on Intel CnC. The international Workshop on Automatic Performance Tuning (iWAPT’15. co-located with IPDPS’15). http://iwapt.org/2015/iwapt2015-program.html.
318. Duggan, Nóirín, Egil Bae, Shiwen Shen, William Hsu, Alex Bui, Edward Jones, Martin Glavin, and Luminita Vese (2015). A Technique for Lung Nodule Candidate Detection in CT Using Global Minimization Methods. Energy Minimization Methods in Computer Vision and Pattern Recognition, pp. 478-491.
319. T. Xu, D. Li, M. Potkonjak (2015). Adaptive characterization and emulation of delay-based physical unclonable functions using statistical models. ACM/IEEE Design Automation Conference (DAC), pp 1-6, June 2015.
320. M. A. Lastras-Montano, A. Ghofani, and K.-T. Cheng (2015). Architecting Energy Efficient Crossbar-based Memristive Random Access Memories. ACM/IEEE International Symposium on Nano-scale Architectures (NANOARCH’15).
321. X. Yang, H. Minh, K.-T. Cheng, Kyung Sung (2015). Automatic Renal Compartment Segmentation in DCE-MRI Images. International Conference on Medical Imaging and Computer Assisted Interventions (MICCAI).
322. Naser Sedaghati, Te Mu, Louis-Noel Pouchet, Srinivasan Parthasarathy, P. Sadayappan (2015). Automatic Selection of Sparse Matrix Representation on GPUs. The 29th ACM on International Conference on Supercomputing (ICS’15). http://dl.acm.org/citation.cfm?id=2751244.
323. Yu-Ting Chen, Jason Cong, Sen Li, Myron Peto, Paul Spellman, Peng Wei, and Peipei Zhou (2015). CS-BWAMEM: A fast and scalable read aligner at the cloud scale for whole genome sequencing. High Throughput Sequencing Algorithms and Applications (HITSEQ), Poster Session (Best Poster Award). Dublin, Ireland.
324. Naser Sedaghati, Arash Ashari, Louis-Noel Pouchet, Srinivasan Parthasarathy, P. Sadayappan (2015). Characterizing Dataset Dependence for Sparse Matrix-Vector Multiplication on GPUs. 2nd Workshop on Parallel Programming for Analytics Applications (PPAA’15, co-located with PPoPP’15). http://dl.acm.org/citation.cfm?id=2726935.2726941
325. Naznin Fauzia, Louis-Noel Pouchet, P. Sadayappan (2015). Characterizing and Enhancing Global Memory Data Coalescing on GPUs. 13th Annual IEEE/ACM International Symposium on Code Generation and Optimization (CGO’15). http://dl.acm.org/citation.cfm?id=2738600.2738603.
326. Kazuaki Ishizaki, Akihiro Hayashi, Gita Koblents, Vivek Sarkar (2015). Compiling and Optimizing Java 8 Programs for GPU execution. 24th International Conference on Parallel Architectures and Compilation Techniques (PACT).
327. Kamal Sharma, Ian Karlin, Jeff Keasler, James McGraw, Vivek Sarkar (2015). Data Layout Optimization for Portable Performance. 21st International European Conference on Parallel and Distributed Computing (Euro-Par’15), August 2015.
328. T. Xu, H. Gu, M. Potkonjak (2015). Data Protection Using Recursive Inverse Function. International Conference on Field Programmable Logic and Applications (FPL), September 2015.
329. John Bender, Mohsen Lesani, and Jens Palsberg (2015). Declarative Fence Insertion. Proceedings of OOPSLA’15, ACM SIGPLAN Conference on Object-Oriented Programming Systems, Languages and Applications. Pittsburgh, Pennsylvania.
330. Mahesh Ravishankar, Roshan Dathathri, Venmugil Elango, Louis-Noel Pouchet, Atanas Rountev, P. Sadayappan, J. Ramanujam (2015). Distributed Memory Code Generation for Mixed Irregular/Regular Computations. The 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP’15). http://dl.acm.org/citation.cfm?id=2688500.2688515.
331. Alina Sbirlea, Kunal Agrawal, Vivek Sarkar (2015). Elastic Tasks: Unifying Task Parallelism and SPMD Parallelism with an Adaptive Runtime. 21st International European Conference on Parallel and Distributed Computing (EuroPar’15), August 2015.
332. X. Yang, X. Si, T. Xue, K.-T. Cheng (2015). Fusion of Vision and Inertial Sensing for Accurate and Efficient Pose Tracking on Smartphones. International Symposium on Mixed and Augmented Reality (ISMAR).
333. Max Grossman, Shams Imam, Vivek Sarkar (2015). HJlib-CL: Reducing the Gap Between the JVM and Accelerators. 12th International Conference on the Principles and Practice of Programming on the Java Platform (PPPJ’15), September 2015.
334. J. Guo, J. B. Wendt, Miodrag Potkonjak (2015). Learning-Based Localized Offloading with Resource-Constrained Data Centers. IEEE International Conference on Cloud and Autonomic Computing (ICCAC).
335. Shams Imam, Vivek Sarkar (2015). Load Balancing Prioritized Tasks via Work-Stealing. 21st International European Conference on Parallel and Distributed Computing (EuroPar’15), August 2015.
336. Akihiro Hayashi, Kazuaki Ishizaki, Gita Koblents, Vivek Sarkar (2015). Machine-Learning-based Performance Heuristics for Runtime CPU/GPU Selection. 12th International Conference on the Principles and Practice of Programming on the Java Platform: virtual machines, languages, and tools (PPPJ’15), September 2015.
337. J. B. Wendt, N. A. Conos, M. Potkonjak (2015). Multiple constant multiplication implementations in near-threshold computing systems. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1071-1075, May 2015.
338. Venmugil Elango, Fabrice Rastello, Louis-Noel Pouchet, J. Ramanujam, P. Sadayappan (2015). On Characterizing the Data Access Complexity of Programs. 42nd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL), http://dl.acm.org/citation.cfm?id=2676726.2677010.
339. Tobias Grosser, J. Ramanujam, Louis-Noel Pouchet, P. Sadayappan, Sebastian Pop (2015). Optimistic Delinearization of Parametrically Sized Arrays. The 29th ACM on International Conference on Supercomputing (ICS’15). http://dl.acm.org/citation.cfm?id=2751248.
340. Jason Cong, Zhenman Fang, Michael Gill, and Glenn Reinman (2015). PARADE: A Cycle-Accurate Full System Simulation Platform for Accelerator-Rich Architectural Design and Exploration. The 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2015), November 2015. Austin, Texas.
341. Alina Sbirlea, Jun Shirako, Louis-Noel Pouchet, Vivek Sarkar (2015). Polyhedral Optimizations for a Data-Flow Graph Language. The 28th International Workshop on Languages and Compilers for Parallel Computing (LCPC), September 2015.
342. Prasanth Chatarasi, Jun Shirako, and Vivek Sarkar (2015). Polyhedral Optimizations of Explicitly Parallel Programs. 24th International Conference on Parallel Architectures and Compilation Techniques (PACT), October 2015.
343. E. Nigussie, T. Xu, M. Potkonjak (2015). Securing wireless body sensor networks using bijective function-based hardware primitive. IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 1-6, April 2015.
344. T. Xu, M. Potkonjak (2015). The Digital Bidirectional Function as a Hardware Security Primitive: Architecture and Applications. ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED).
345. Shams Imam, Vivek Sarkar (2015). The Eureka Programming Model for Speculative Task Parallelism.. 29th European Conference on Object-Oriented Programming (ECOOP), July 2015.
346. X. Yang, X. Si, T. Xue, L. Zhang, and K.-T. Cheng (2015). Vision-Inertial Hybrid Tracking for Robust and Efficient Augmented Reality on Smartphones. ACM Multimedia Conference.
347. C. Studer, T. Goldstein, W. Yin, and R. G. Baraniuk (2015). Democratic Representations. Applied and Computational Harmonic Analysis (ACHA). (Submitted)
348. J. Rajendran, R. Karri, J. B. Wendt, M. Potkonjak, N. R. McDonald, G. S. Rose, B. T. Wysocki (2015). Nano Meets Security: Exploring Nanoelectronic Devices for Security Applications. Proceedings of the IEEE, May 2015. 103 (5), 829-849.
349. A. Mirhoseini, M. Potkonjak, F. Koushanfar (2015). Phase Change Memory Write Cost Minimization by Data Encoding. IEEE Journal of Emerging and Selected Topics in Circuits and Systems, March 2015. 5 (1), pp. 51-63.
350. A. Ghofrani, M.A. Lastros-Montano, S. Gaba, M. Payvand, W. Lu, L. Theogarajan, and K.-T. Cheng (2015). A Low-Power Variation-Aware Adaptive Write Scheme for Access-Transistor-Free Memristive Memory. ACM Journal on Emerging Technologies in Computing Systems (JETC). 12 (1).
351. A. Sankaranarayanan, L. Xu, C. Studer, Y. Li, K. F. Kelly, and R. G. Baraniuk (2015). Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models. SIAM Journal on Imaging Sciences.
352. A. B. Patel, T. Nguyen, and R. G. Baraniuk (2015). A Probabilistic Theory of Deep Learning. Journal of Machine Learning Research.
353. T. Goldstein, C. Studer, R. G. Baraniuk (2015). A Field Guide to Forward-Backward Splitting with a FASTA implementation. SIAM Journal of Optimization.
354. R. J. Patel, T. Goldstein, E. L. Dyer, A. Mirhoseini, and R. G. Baraniuk (2015). oASIS: Adaptive Column Sampling for Kernel Matrix Approximation. IEEE Journal on Selected Topics in Signal Processing. (Under Review)
355. Y. Li, C. Hegde, A. C. Sankaranarayanan, R. G. Baraniuk, and K. F. Kelly (2015). Compressive Image Classification via Secant Projections. Journal of Optics.
356. Venmugil Elango, Naser Sedaghati, Fabrice Rastello, Louis-Noel Pouchet, J. Ramanujam, Radu Teodorescu and P. Sadayappan (2015). On Using the Roofline Model with Lower Bounds on Data Movement. ACM TACO (HiPEAC’15), http://dl.acm.org/citation.cfm?id=2695583.2693656.
357. Beayna Grigorian and Glenn Reinman (2015). Accelerating Divergent Applications on SIMD Architectures Using Neural Networks. ACM Transactions on Architecture and Code Optimization (TACO). 12 (1).
358. Young-kyu Choi and Jason Cong (2015). Acceleration of EM-Based 3D CT Reconstruction Using FPGA. IEEE Transactions at Biomedical Circuits and Systems.
359. T. Goldstein, L. Xu, Y. Li, K. F. Kelly, and R. G. Baraniuk (2015). The STOne Transform: Multiresolution Image Enhancement and Real-Time Compressive Video. IEEE Transactions on Image Processing.
360. E. L. Dyer, T. Goldstein, R. J. Patel, K. Kording, and R. G. Baraniuk (2015). Self-Expressive Decompositions for Matrix Approximation and Clustering. IEEE Transactions on Signal Processing. (Submitted)
361. C. Hegde, A. Sankaranarayanan, W. Yin, and R. G. Baraniuk (2015). NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings. IEEE Transactions on Signal Processing.
362. Yu-Ting Chen and Jason Cong (2015). Interconnect Synthesis of Heterogeneous Accelerators in a Shared Memory Architecture.The 2015 International Symposium on Low Power Electronics and Design (ISLPED).Rome, Italy, July 22-24, 2015.
363. Eleazar Eskin (2015). Discovering Genes Involved in Disease and the Mystery of Missing Heritability. Communications of the ACM. 55 (10), 80. DOI: 10.1145/2817827.
364. Nicholas A. Furlotte, Eleazar Eskin (2015). Efficient Multiple Trait Association and Estimation of Genetic Correlation Using the Matrix-Variate Linear Mixed-Model. Genetics. 203 (1), genetics-114. ; DOI: 10.1534/genetics.114.17144.
365. Shen S, Petousis P, Han S, Meng F, Bui AAT, Hsu W. A continuous Markov model approach using individual patient data to estimate mean sojourn time of lung cancer. Proc AMIA Fall 2015 Symp.
366. Y-T. Chen, J. Cong, M. Gill, G. Reinman, and B. Xiao. Customizable Computing— Synthesis Lectures on Computer Architecture. Morgan and Claypool Publishers, July 2015.
367. Yu-Ting Chen, Jason Cong, Sen Li, Myron Peto, Paul Spellman, Peng Wei, and Peipei Zhou. CS-BWAMEM: A fast and scalable read aligner at the cloud scale for whole genome sequencing. High Throughput Sequencing Algorithms and Applications (HITSEQ) Poster Session Dublin, Ireland, July 2015. Best Poster Award.
368. Akihiro Hayashi, Kazuaki Ishizaki, Gita Koblents, Vivek Sarkar. Machine-Learning-based Performance Heuristics for Runtime CPU/GPU Selection.12th International Conference on the Principles and Practice of Programming on the Java Platform: virtual machines, languages, and tools (PPPJ’15), September 2015.
2016 (Total 40)
369. Jason Cong, Hui Huang, and Mohammad Ali Ghodrat. A Scalable Communication-Aware Compilation Flow for Programmable Accelerators. ASPDAC 2016, Macau, China, Jan 25-28, 2016.
370. Wei-Han Cho, Yilei Li, Yuan Du, Chien-Heng Wong, Jieqiong Du, Po-Tsang Huang, Sheau Jiung Lee, Huan-Neng Chen, Chewn-Pu Jou, Fu-Lung Hsueh and Mau-Chung Frank Chang, “A 38mW 40Gb/s 4-Lane Tri-Band 4-PAM /16-QAM Transceiver in 28nm CMOS for High-Speed Memory Interface,” IEEE International Solid-State Circuits Conference (ISSCC), pp.184-185, Feb 2016.
371. Deepak Majeti, Kuldeep Meel, Raj Barik and Vivek Sarkar. “Automatic Data Layout Generation and Kernel Mapping for CPU+GPU Architectures.” 25th International Conference on Compiler Construction (CC 2016), March 2016.
372. Yilei Li, Wei-Han Cho, Yuan Du, Jieqiong Du, Po-Tsang Huang, Sheau Jiung Lee, and Mau-Chung Frank Chang, “Carrier Synchronization for Multiband RF Interconnect (MRFI) to Facilitate Chip-to-Chip Wireline Communication,” IET Electronics Letters, Vol. 52, No. 7, pp.535-537, Apr 2016.
373. Max Grossman, Vivek Sarkar. SWAT: A Programmable, In-Memory, Distributed, High-Performance Computing Platform. International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), May 2016.
374. Peipei Zhou, Hyunseok Park, Zhenman Fang, Jason Cong, Andre DeHon. Energy Efficiency of Full Pipelining: A Case Study for Matrix Multiplication. The 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, May 1-3, 2016, Washington DC, USA.
375. Mau-Chung Frank Chang, Yu-Ting Chen, Jason Cong, Po-Tsang Huang, Chun-Liang Kuo, and Cody Hao Yu. SMEM Seeding Acceleration for DNA Sequence Alignment. The 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, May 1-3, 2016, Washington, DC, USA.
376. Max Grossman and Vivek Sarkar. “Efficient Checkpointing of Multi-Threaded Applications as a Tool for Debugging, Performance Tuning, and Resilience.” IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2016.
377. Yuan Du, Wei-Han Cho, Yilei Li, Chien-Heng Wong, Jieqiong Du, Po-Tsang Huang, Zuow-Zun Chen, Sheau Jiiung Lee, and Mau-Chung Frank Chang, “A 16Gb/s 14.7mW Tri-Band Cognitive Transmitter with Forwarded-Clock to Enable PAM-16/256-QAM and Channel Response Detection in 28nm CMOS,” IEEE Symposium on VLSI Circuits, pp. 172-173, Jun 2016.
378. Jason Cong, Muhuan Huang, Di Wu, and Cody Hao Yu. Heterogeneous Datacenters: Options and Opportunities. Proceedings of the 53rd Annual Design Automation Conference (DAC 2016), Austin, TX, June 5-9, 2016 (Invited Paper).
379. Young-kyu Choi, Jason Cong, Zhenman Fang, Yuchen Hao, Glenn Reinman, and Peng Wei. A Quantitative Analysis on Microarchitectures of Modern CPU-FPGA Platforms. Proceedings of the 53rd Annual Design Automation Conference (DAC 2016), Austin, TX, June 5-9, 2016.
380. Yu-Ting Chen, Jason Cong, Zhenman Fang, Jie Lei and Peng Wei. “When Apache Spark Meets FPGAs: A Case Study for Next-Generation DNA Sequencing Acceleration.” The 8th USENIX Workshop on Hot Topics in Cloud Computing (Hot Cloud ’16), Denver, CO, June 20-21, 2016.
381. Shen S, Zhong X, Hsu W, Bui AAT, Wu H, Kuo M, Raman S, Margolis D, Sung K. Quantitative MRI and deep learning for lethal prostate cancer detection. Proc Intl Soc Magnetic Resonance in Medicine (ISMRM), 2016
382. Elior Rahmani, Noah Zaitlen, Yael Baran, Celeste Eng, Donglei Hu, Joshua Galanter, Sam Oh, Esteban G. Burchard, Eleazar Eskin, James Zou, Eran Halperin (2016). Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies. Nature Methods. 13 (5), 443. DOI: 10.1038/nmeth.3809
383. Farhad Hormozdiari, Eun Yong Kang, Michael Bilow, Eyal Ben-David, Chris Vulpe, Stela McLachlan, Aldons J. Lusis, Buhm Han, Eleazar Eskin (). Imputing phenotypes for genome-wide association studies. American Journal of Human Genetics.
384. Jong Wha J Joo, Farhad Hormozdiari, Eleazar Eskin, Buhm Han (2016). Multiple testing correction in linear mixed models. Genome Biology. 17 (1), 62. ; DOI: 10.1186/s13059-016-0903-6
385. Dat Duong, Jennifer Zou, Farhad Hormozdiari, Jae-hoon Sul, Jason Ernst, Buhm Han, Eleazar Eskin (2016). Using genomic annotations increases statistical power to detect eGenes. Special Issue of the Proceedings of the Nineteenth International Conference on Intelligent Systems in Molecular Biology (ISMB- 2016): July 8th-12th, 2016 Bioinformatics, 32(12), pp.i156-i163.
386. Sanjay Chatterjee, Nick Vrvilo, Zoran Budimlic, Kathleen Knobe, Vivek Sarkar. “Declarative Tuning for Locality in Parallel Programs. ” The 45th International Conference on Parallel Processing (ICPP-2016), August 2016.
387. Arghya Chatterjee, Branko Gvoka, Bing Xue, Zoran Budimlic, Shams Imam, Vivek Sarkar. “A Distributed Selectors Runtime System for Java Applications.” 13th International Conference on the Principles and Practice of Programming on the Java Platform: virtual machines, languages, and tools (PPPJ’16), August 2016.
388. Muhuan Huang, Di Wu, Cody Hao Yu, Zhenman Fang, Matteo Interlandi, Tyson Condie, and Jason Cong. Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale. Proceedings of the Seventh ACM Symposium on Cloud Computing (SoCC 2016), Santa Clara, CA, October 5-7, 2016
389. Boyu Hu, Yuan Du, Rulin Huang, Jeffrey Lee, Young-Kai Chen, Mau-Chung Frank Chang, “A Capacitor-DAC-Based Technique For Pre-Emphasis-Enabled Multi-Level Transmitter.” IEEE Transactions on Circuits and Systems II: Express Briefs, vol.PP, no.99, pp.1-1, Oct 2016
390. Max Grossman, Jun Shirako, Vivek Sarkar. “OpenMP as a High-Level Specification Language for Parallelism.” International Workshop on OpenMP (IWOMP), October 2016.
391. Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong. “Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks.” Proceedings of the 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2016), November 2016. (2019 TCAD Donald O. Pederson Best Paper Award).
392. Yuhan Peng, Max Grossman, Vivek Sarkar. “Static Cost Estimation for Data Layout Selection on GPUs.” 7th International Workshop in Performance Modeling, Benchmarking, and Simulation of High Performance Computer Systems (PMBS16, co-located with SC16), November 2016.
393. Akihiro Hayashi, Jun Shirako, Ettore Tiotto, Robert Ho, Vivek Sarkar. “Exploring Compiler Optimization Opportunities for the Open MP 4.x Accelerator Model on a POWER8+GPU Platform.” Third Workshop on Accelerator Programming Using Directives (WACCPD, co-located with SC16), November 2016.
394. Vivek Kumar, Karthik Murthy, Vivek Sarkar and Yili Zheng. “Optimized Distributed Work-Stealing. 6th workshop on Irregular Applications: Architectures and Algorithms (IA^3)”, ACM, November 2016.
395. Gleb Kichaev, Megan Roytman, Ruth Johnson, Eleazar Eskin, Sara Lindstrm, Peter Kraft, and Bogdan Pasaniuc. “Improved Methods for Multi-trait Fine Mapping of Pleiotropic Risk Loci.” Bioinformatic.” Bioinformatics, (In Press), 2016.
396. Hyejung Won, Luis de la Torre-Ubieta, Jason L. Stein, Jerry Huang, Carli K. Op- land, Neelroop N. Parikshak, Michael Gandal, Daning Lu, Gavin J. Sutton, Farhad Hormozdiari, Changhoon Lee, Eleazar Eskin, Irina Voineagu, Jason Ernst, Daniel H. Geschwind. “Genome-wide chromosome conformation elucidates regulatory relationships in human brain evolution and disease.” Nature, 538, no. 7626: 523-527, (In Press), 2016.
397. Farhad Hormozdiari, Martijn van de Bunt, Ayellet V. Segre, Xiao Li, Jong Wha J Joo, Michael Bilow, Jae Hoon Sul, Sriram Sankararaman, Bogdan Pasaniuc, and Eleazar Eskin. “Colocalization of GWAS and eQTL Signals Detects Target Genes.” American Journal of Human Genetics (In Press), 2016.
398. Amirali Ghofrani, Abbas Rahimi, Miguel Angel Lastras-Montano, Luca Benini, Rajesh K. Gupta, and Kwang-Ting Cheng. “Associative Memristive Memory for Approximate Computing in GPUs.” IEEE Journal on Emerging and Selected Topics in Circuits and Sytems (JETCAS), vol. PP, no. 99, 2016.
399. Amirali Ghofrani, Miguel Angel Lastras-Montano, Yuyang Wang, and Kwang-Ting Cheng. “In-place Repair for Resistive Memories Utilizing Complementary Resistive Switches.” International Symposium on Low Power Electronics and Design (ISLPED). ACM, San Diego, CA, USA, 2016.
400. Miguel Angel Lastras-Montano, Amirali Ghofrani, and Kwang-Ting Cheng. “A Low-Power Hybrid Reconfigurable Architecture For Resistive Random-Access Memories.” In International Symposium on High-Performance Computer Architecture (HPCA), Barcelona, Spain, 2016.
401. Jong Wha J Joo, Eun Yong Kang, Elin Org, Nick Furlotte, Brian Parks, Farhad Hormozdiari, Aldons J. Lusis, Eleazar Eskin. “Efficient and Accurate MultiplePhenotype Regression Method for High Dimensional Data Considering Population Structure.” Genetics, 204, no. 4: 1379-1390, 2016.
402. Eun Yong Kang, Lisa Martin, Serghei Mangul, Warin Isvilanonda, Jennifer Zou, Eyal Ben-David, Buhm Han, Aldons J. Lusis, Sagiv Shifman, Eleazar Eskin. “Discovering SNPs Regulating Human Gene Expression Using Allele Specific Expression from RNA-Seq Data” Genetics, 204, no. 3: 1057-1064, 2016.
403. Eun Yong Kang, Yurang Park, Xiao Li, Ayellet V. Segre, Buhm Han, Eleazar Eskin. “ForestPMPlot: a flexible tool for visualizing heterogeneity between studies in meta-analysis” G3: Genes—Genomes—Genetics. 6, no. 7: 1793-1798, 2016.
404. Buhm Han, Dat Duong, Jae Hoon Sul, Eleazar Eskin, Soumya Raychaudhuri. “A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping.” Human Molecular Genetics, ddw049, 2016.
405. Jae Hoon Sul, Michael Bilow, Wen-Yun Yang, Emrah Kostem, Nick Furlotte, Dan He, Eleazar Eskin. “Accounting for population structure in gene-by-environment interactions in genome-wide association studies using mixed models.” PLoS Genetics. 12(3):e1005849, 2016.
406. Timothy G. Mattson, Romain Cledat, Vincent Cave, Vivek Sarkar, Zoran Budimlic, Sanjay Chatterjee, Josh Fryman, Ivan Ganev, Robin Knauerhase, Min Lee, Benoıt Meister, Brian Nickerson, Nick Pepperling, Bala Seshasayee, Sagnak Tasirlar, Justin Teller, and Nick Vrvilo. “The Open Community Runtime: A Runtime System for Extreme Scale Computing.” In 2016 IEEE High Performance Extreme Computing Conference (HPEC ’16), 2016.
407. Kang, E.Y., Park, Y., Li, X., Segrè, A.V., Han, B. and Eskin, E. ForestPMPlot: A Flexible Tool for Visualizing Heterogeneity Between Studies in Meta-analysis. G3: Genes| Genomes| Genetics, 6(7), pp.1793-1798, 2016.
408. Mangul, S., Yang, H.T., Strauli, N., Gruhl, F., Daley, T., Christenson, S., Andersen, A.W., Spreafico, R., Rios, C., Eng, C. and Smith, A.D. Dumpster diving in RNA-sequencing to find the source of every last read. bioRxiv, p.053041, 2016.
2017 (Total 17)
409. Jason Cong, Zhenman Fang, Yuchen Hao, and Glenn Reinman. “Supporting Address Translation for Accelerator-Centric Architectures.” The 23rd IEEE Symposium on High Performance Computer Architecture (HPCA 2017 Best Paper Nominee), February 2017.
410. Jun Shirako, Akihir Hayashi, Vivek Sarkar. “Optimized Two-Level Parallelization for GPU Accelerators using the Polyhedral Model.” Proceedings of the 2017 International Conference on Compiler Construction (CC 2017), February 2017 [slides].
411. Max Grossman, “Productive Programming Systems for Heterogeneous Supercomputers.” Ph.D. Thesis, February 2017.9416. Yilei Li, Kirti Dhwaj, Chien-Heng Wong, Yuan Du, Li Du, Yiwu Tang, Yiyu Shi, Tatsuo Itoh, Mau-Chung Frank Chang, “A Novel Fully Synthesizable All-Digital RF Transmitter for IoT Applications,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol.PP, no.99, pp.1-1, Mar 2017.
412. Yuan Du, Wei-Han Cho, Po-Tsang Huang, Yilei Li, Chien-Heng Wong, Jieqiong Du, Yanghyo Kim, Boyu Hu, Li Du, Sheau-Jiung Lee, Mau-Chung Frank Chang, “A 16-Gb/s 14.7-mW Tri-Band Cognitive Serial Link Transmitter With Forwarded Clock to Enable PAM-16/256-QAM and Channel Response Detection”, IEEE Journal of Solid-State Circuits, Vol. 52, No. 7, pp. 1111-1122, Apr 2017
413. Max Grossman, Vivek Kumar, Nick Vrvilo, Zoran Budimlic, Vivek Sarkar. “A Pluggable Framework for Composable HPC Scheduling Libraries.” The Seventh International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), May 2017.
414. J. Wang, X. Xie and J. Cong, “Communication Optimization on GPU: A Case Study of Sequence Alignment Algorithms,” 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Orlando, FL, USA, May 29-June 2, 2017, pp. 72-81.
415. Jason Cong, Peng Wei, Cody Hao Yu, and Peipei Zhou. “Bandwidth Optimization Through On-Chip Buffer Restructuring for HLS.” Proceedings of the 54rd Annual Design Automation Conference (DAC 2017), Austin, TX, June 18-22, 2017.
416. Nick Vrvilo, Lechen Yu and Vivek Sarkar. “A Marshalled Data Format for Pointers in Relocatable Data Blocks. ” Proceedings of the 2017 ACM SIGPLAN International Symposium on Memory Management (ISMM), June 2017.
417. Akihiro Hayashi, Jun Shirako, Ettore Tiotto, Robert Ho, Vivek Sarkar. Performance Evaluation of OpenMP’s Target Construct on GPUs.” International Journal of High Performance Computing and Networking (IJHPCN), June 2017.
418. Michael Bilow, Fernando Crespo, Zhicheng Pan, Eleazar Eskin, and Susana Eyheramendy. “Simultaneous modeling of disease status and clinical phenotypes to increase power in GWAS.” Genetics, 205, no. 3: 1041-1047, 2017.
419. Serghei Mangul, Harry Yang, Farhad Hormozdiari, Elizabeth Tseng, Alex Zelikovsky, Eleazar Eskin. “HapIso: An Accurate Method for the Haplotype-Specific Isoforms Reconstruction from Long Single-Molecule Reads.” IEEE transactions on nanobioscience 16, no. 2 (2017): doi:10.1109/TNB.2017.2675981
420. S. Shen, Han SX, Petousis P, Weiss RE, Meng F, Bui AAT, Hsu W. A Bayesian model for estimating multi-state disease progression. Computers in Biology and Medicine, 2017; 81:111-120
421. Shen S, Bui AAT, Hsu W. Robust lung nodule classification using 2.5D convolutional neural network. Proc AMIA Fall Symp, pp. 2197, November 2017.
422. Hormozdiari, F., Zhu, A., Kichaev, G., Ju, C.J.T., Segrè, A.V., Joo, J.W.J., Won, H., Sankararaman, S., Pasaniuc, B., Shifman, S. and Eskin, E., 2017. “Widespread allelic heterogeneity in complex traits”. The American Journal of Human Genetics, 100(5), pp.789-802.
423. Jason Cong, Zhenman Fang, Farnoosh Javadi, and Glenn Reinman. “AIM: Accelerating Computational Genomics through Scalable and Noninvasive Accelerator-Interposed Memory”. The International Symposium on Memory Systems (MEMSYS), Oct 2017. (Best Paper Award).
424. Yanghyo Kim, Wei-Han Cho, Yuan Du, Jason Cong, Tatsuo Itoh, and Mau-Chung Frank Chang. “Impulse response analysis of carrier-modulated multiband RF-interconnect (MRFI)”. Analog Integrated Circuits and Signal Processing, pp 1-19, October 2017.
425. Y. Choi, P. Zhang, P. Li, and J. Cong, “HLScope+: Fast and Accurate Performance Estimation for FPGA HLS.” IEEE/ACM Int. Conf. Computer Aided Design (ICCAD), Nov. 2017. DOI# 10.1109/ICCAD.2017.8203844.
2018 (Total 16)
426. Yanghyo Kim, Boyu Hu, Yuan Du, Adrian Tang, Huan-Neng Chen, Chewnpu Jou, Jason Cong, Tatsuo Itoh, Mau-Chung Frank Chang. “A 20Gb/s 79.5mW 127GHz CMOS Transceiver with Digitally Pre-Distorted PAM-4 Modulation for Contactless Communications”. 2018 IEEE International Solid-State Circuits Conference, San Francisco, CA, February 11-15, 2018.
427. Peipei Zhou, Zhenyuan Ruan, Zhenman Fang, Megan Shand, David Roazen, Jason Cong. “Doppio: I/O-Aware Performance Analysis, Modeling and Optimization for In-Memory Computing Framework”. 2018 IEEE International Symposium on Performance Analysis of Systems and Software, Belfast, United Kingdom, April 2-4, 2018. (Best Paper Nominee).
428. Jason Cong, Zhenman Fang, Michael Lo, Hanrui Wang, Jingxian Xu and Shaochong Zhang. “Understanding Performance Differences of FPGAs and GPUs”. The 26th IEEE International Symposium on Field-Programmable Custom Computing Machines, Boulder, CO, April 29-May 1, 2018.
429. Zhenyuan Ruan, Tong He, Bojie Li, Peipei Zhou, and Jason Cong. “ST-Accel: A High-Level Programming Platform for Streaming Applications on FPGA”. The 26th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, Boulder, CO, April 29-May 1, 2018.
430. Jason Cong, Peng Wei, Cody Hao Yu, Peipei Zhou. “Latte: Locality Aware Transformation for High-Level Synthesis”. The 26th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, Boulder, CO, April 29-May 1, 2018.
431. Weikang Qiao, Jieqiong Du, Zhenman Fang, Michael Lo, Mau-Chung Frank Chang, Jason Cong. “High-Throughput Lossless Compression on Tightly Coupled CPU-FPGA Platforms”. The 26th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, Boulder, CO, April 29-May 1, 2018.
432. S. Dai, Y. Zhou, H. Zhang, E. Ustun, E. F.Y. Young, and Z. Zhang. “Fast and Accurate Estimation of Quality of Results in High-Level Synthesis with Machine Learning”. The 26th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), Boulder, CO, April 29-May 1, 2018. (Best Paper Award, short paper category).
433. Jason Cong, Peng Wei, Cody Hao Yu, Peng Zhang. “Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture”. The Proceedings of the 55rd Annual Design Automation Conference (DAC), San Francisco, CA, June 24-28, 2018. DOI# 10.1145/3195970.3195999.
434. Cody Hao Yu, Peng Wei, Max Grossman, Peng Zhang, Vivek Sarkar, Jason Cong. “S2FA: An Accelerator Automation Framework for Heterogeneous Computing in Datacenters”. The Proceedings of the 55rd Annual Design Automation Conference (DAC), San Francisco, CA, June 24-28, 2018.
435. Jason Cong, Peng Wei and Cody Hao Yu, “From JVM to FPGA: Bridging Abstraction Hierarchy via Optimized Deep Pipelining”. The 10th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 18), Boston, MA, July 9, 2018.
436. Zhe Chen, Hugh T. Blair, Andrew Howe, Jason Cong, “CLINK: Compact LSTM Inference Kernel for Energy Efficient Neurofeedback Devices”. 2018 International Symposium on Low Power Electronics and Design, Seattle, WA, July 23-25, 2018. Best Paper Award.
437. M. Li ,S. Shen ,W. Gao, W. Hsu, J. Cong , “Computed tomography image enhancement using 3D convolutional neural network”. The 4th Workshop on Deep Learning in Medical Image Analysis, Granada, Spain, September 2018.
438. Y. Choi and J. Cong, “HLS-Based Optimization and Design Space Exploration for Applications with Variable Loop Bounds”. The Proceedings of IEEE/ACM Int. Conf. Computer Aided Design (ICCAD), San Diego, CA, Nov. 2018.
439. Serghei Mangul, Harry Taegyun Yang, Nicolas Strauli, Franziska Gruhl, Hagit T Porath, Kevin Hsieh, Linus Chen, and others. “ROP: Dumpster Diving in RNA-sequencing to Find the Source of 1 Trillion Reads Across Diverse Adult Human Tissues.” Genome biology 19, no. 1 (2018): doi:10.1186/s13059-018-1403-7.
440. Yuze Chi, Jason Cong, Peng Wei, and Peipei Zhou. “SODA: Stencil with Optimized Dataflow Architecture”. Proceedings of the IEEE/ACM International Conference Computer Aided Design (ICCAD). November 2018. (Best Paper Nominee).
441. Jason Cong, Jie Wang. “PolySA: Polyhedral-Based Systolic Array Auto-Compilation”. Proceedings of the IEEE/ACM International Conference Computer Aided Design (ICCAD), November 2018.
2019 (Total 10)
442. Jason Cong, Zhenman Fang, Muhuan Huang, Peng Wei, Di Wu, and Cody Hao Yu. “Customizable Computing– From Single Chip to Datacenters”. Proceedings of the IEEE, Vol 107, Issue 1, pp. 185-203, January 2019, DOI: 10.1109/JPROC.2018.2876372 (Invited paper).
443. Yanghyo Kim, Boyu Hu, Yuan Du, Wei-Han Cho, Rulin Huang, Adrian Tang, Huan-Neng Chen, Chewnpu Jou, Jason Cong, Tatsuo Itoh, and Mau-Chung Frank Chang. “A Millimeter-Wave CMOS Transceiver With Digitally Pre-Distorted PAM-4 Modulation for Contactless Communications”. IEEE Journal of Solid-State Circuits, pp. 1-13, January 24, 2019, DOI: 10.1109/JSSC.2019.2896413.
444. Young-kyu Choi, Jason Cong, Zhenman Fang, Yuchen Hao, Glenn Reinman, and Peng Wei. “In-Depth Analysis on Microarchitectures of Modern Heterogeneous CPU-FPGA Platforms”. ACM Transactions on Reconfigurable Technology and Systems, Vol. 12, No. 1, Article 4, February 2019, DOI: 10.1145/3294054.
445. Yuze Chi, Young-kyu Choi, Jason Cong, and Jie Wang. “Rapid Cycle-Accurate Simulator for High-Level Synthesis”. ACM/ SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA ’19), Seaside, CA, February 24-26, 2019, DOI: 10.1145/3289602.3293918.
446. Zhe Chen, Hugh T. Blair, and Jason Cong. “LANMC: LSTM-Assisted Non-Rigid Motion Correction on FPGA for Calcium Image Stabilization”. ACM/ SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA ’19), Seaside, CA, February 24-26, 2019, DOI: 10.1145/3289602.3293919.
447. Yi-Hsiang Lai, Yuze Chi, Yuwei Hu, Jie Wang, Cody Hao Yu, Yuan Zhou, Jason Cong, and Zhiru Zhang. “HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing”. ACM/ SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA ’19), Seaside, CA, February 24-26, 2019. (Best Paper Award)
448. Licheng Guo, Jason Lau, Zhenyuan Ruan, Peng Wei, and Jason Cong. “Hardware Acceleration of Long Read Pairwise Overlapping in Genome Sequencing: A Race Between FPGA and GPU”. The 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, San Diego, CA, April 28-May 1, 2019.
449. Zhenyuan Ruan, Tong He, and Jason Cong. “INSIDER: Designing In-Storage Computing System for Emerging High-Performance Drive”. 2019 USENIX Annual Technical Conference (ATC), Renton, WA, July 10-12, 2019
450. Zhenman Fang, Farnoosh Javadi, Jason Cong and Glenn Reinman. “Understanding Performance Gains of Accelerator-rich Architectures.” The 30th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP) July 15-17, 2019. Cornell Tech, NY (Invited Paper).
451. Zhenyuan Ruan, Tong He, and Jason Cong, “Analyzing and Modeling In-Storage Computing Workloads On EISC – An FPGA-Based System Level Emulation Platform.” Proceedings of the IEEE/ACM International Conference Computer Aided Design (ICCAD), November 2019 (Best Paper Award).
2020 (Total 15)
452. Young-kyu Choi, Yuze Chi, Jie Wang, and Jason Cong. “FLASH: Fast, ParalleL, and Accurate Simulator for HLS.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Jan 30, 2020, DOI: 10.1109/TCAD.2020.2970597.
453. Jiajie Li, Yuze Chi, and Jason Cong, “HeteroHalide: From Image Processing DSL to Efficient FPGA Acceleration.” Proceedings of the 28th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA ’20), Seaside, CA, February 23–25, 2020. DOI: 10.1145/3373087.3375320.
454. Atefeh Sohrabizadeh, Jie Wang, and Jason Cong, “End-to-End Optimization of Deep Learning Applications.” Proceedings of the 28th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA ’20), Seaside, CA, February 23–25, 2020. DOI: 10.1145/3373087.3375321.
455. Ziniu Hu, Yuxiao Dong, Kuansan Wang, and Yizhou Sun, “Heterogeneous Graph Transformer.” Proceedings of The Web Conference 2020 (WWW ’20), April 20-24, 2020. DOI: 10.1145/3366423.3380027
456. Michael Lo, Zhenman Fang, Jie Wang, Peipei Zhou, Mau-Chung Frank Chang and Jason Cong, “Algorithm-Hardware Co-design for BQSR Acceleration in Genome Analysis ToolKit.” Proceedings of the 28th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM’20), Fayetteville, Arkansas, May 3-6, 2020.
457. Jason Lau*, Aishwarya Sivaraman*, Qian Zhang*, Muhammad Ali Gulzar, Jason Cong, Miryung Kim, “HeteroRefactor: Refactoring for Heterogeneous Computing with FPGA.” Proceedings of 42nd International Conference on Software Engineering, Seoul, Republic of Korea, May 23–29, 2020. (* equal co-first authors in alphabetical order)
458. Nikola Samardzic, Weikang Qiao, Vaibhav Aggarwal, Mau-Chung Frank Chang, Jason Cong, “Bonsai: High-Performance Adaptive Merge Tree Sorting.” Proceedings of the 47th International Symposium on Computer Architecture (ISCA 2020), May 30-June 3, 2020.
459. Jian Weng, Sihao Liu, Vidushi Dadu, Zhengrong Wang, Preyas Shah, and Tony Nowatzki, “DSAGEN: Synthesizing Programmable Spatial Accelerators.” 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA). pp. 268-281, May 30-June 3, 2020. DOI: 10.1109/ISCA45697.2020.00032.
460. Bochen Tan and Jason Cong, “Optimality Study of Existing Quantum Computing Layout Synthesis Tools,” IEEE Transactions on Computers, July 2020, DOI 10.1109/TC.2020.3009140.
461. Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, and Wei Wang, “Fast Adaptation for Cold-Start Collaborative Filtering with Meta-Learning.” 2020 IEEE International Conference on Data Mining (ICDM), pp. 661-670, July 15-19, 2020. DOI: 10.1109/ICDM50108.2020.00075
462. Licheng Guo, Jason Lau, Yuze Chi, Jie Wang, Cody Hao Yu, Zhe Chen, Zhiru Zhang, and Jason Cong, “Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency.” Proceedings of the 57th Design Automation Conference (DAC 2020), San Francisco, CA, July 19-23, 2020. (Best Paper Nominee).
463. Yuze Chi and Jason Cong, “Exploiting Computation Reuse for Stencil Accelerators.” Proceedings of the 57thDesign Automation Conference (DAC 2020), San Francisco, CA, July 19-23, 2020.
464. Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, and Yizhou Sun, “GPT-GNN: Generative Pre-Training of Graph Neural Networks.” Proc. of 2020 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’20), August 23-27, 2020. DOI: 10.1145/3394486.3403237.
465. Bochen Tan and Jason Cong, “Optimal Layout Synthesis for Quantum Computing”. Proceedings of the 2020 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), November 2-5, 2020.
466. Zijie Huang, Yizhou Sun, and Wei Wang, “Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations.” Thirty-fourth Conf. on Neural Information Processing Systems (NeurIPS’20), Dec. 2020.
2021 (Total 13)
467. Zijie Huang, Yizhou Sun, and Wei Wang, “Coupled Graph ODE for Learning Interacting System Dynamics.” Proc. of 2021 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’21), January 2021. DOI: 10.1145/3447548.3467385.
468. Yichao Zhou, Yu Yan, Rujun Han, Harry J. Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping and Wei Wang, “Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference.” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI’21). February 2-9, 2021.
469. Licheng Guo, Yuze Chi, Jie Wang, Jason Lau, Weikang Qiao, Ecenur Ustun, Zhiru Zhang, Jason Cong. “AutoBridge: Coupling Coarse-Grained Floorplanning and Pipelining for High-Frequency HLS Design on Multi-Die FPGAs”. Proceedings of the 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA ’21), February 28–March 2, 2021, Virtual Event. ACM, New York, NY, USA, pp 81-92. DOI: 10.1145/3431920.3439289 (Best Paper Award).
470. Young-kyu Choi, Yuze Chi, Weikang Qiao, Nikola Samardzic, and Jason Cong. “HBM Connect: High-Performance HLS Interconnect for FPGA HBM”. Proceedings of the ACM/SIGDA Int. Symp. Field-Programmable Gate Arrays (FPGA), Virtual Event, Feb. 2021, pp 116-126, DOI: 10.1145/3431920.343930.
471. Jie Wang, Licheng Guo, and Jason Cong, “AutoSA: A Polyhedral Compiler for High-Performance Systolic Arrays on FPGA”. Proceedings of the 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA ’21), February 28-March 2, 2021, Virtual Event. ACM, New York, NY, USA, pp 93-104, DOI: 10.1145/3431920.3439292.
472. Peipei Zhou, Jiayi Sheng, Cody Hao Yu, Peng Wei, Jie Wang, Di Wu, Jason Cong, “MOCHA: Multinode Cost Optimization in Heterogeneous Clouds with Accelerators”. Proceedings of the 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA ’21), February 28-March 2, 2021, Virtual Event. ACM, New York, NY, USA, pp 273-279, DOI: 10.1145/3431920.3439304.
473. Song Jiang, Bernard Koch, and Yizhou Sun, “HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding.” WWW ’21: Proceedings of the Web Conference, April 2021. DOI: 10.1145/3442381.3450107.
474. Weikang Qiao, Jihun Oh, Licheng Guo, Mau-Chung Frank Chang, Jason Cong, “FANS: FPGA-Accelerated Near-Storage Sorting,” Proceedings of the 29th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM’21), Virtual Event, May 9-12, 2021
475. Yuze Chi, Licheng Guo, Jason Lau, Young-kyu Choi, Jie Wang, and Jason Cong, “Extending High-Level Synthesis for Task-Parallel Programs,” Proceedings of the 29th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM’21), Virtual Event, May 9-12, 2021.
476. Vidushi Dadu, Sihao Liu and Tony Nowatzki, “Polygraph: Exposing the Value of Flexibility for Graph Processing Accelerators.” ISCA 2021. June 14-19, 2021.
477. Yunsheng Bai, Derek Xu, Yizhou Sun, and Wei Wang, “GLSearch: Maximum Common Subgraph Detection via Learning to Search.” Proc. of Thirty-eighth International Conference on Machine Learning (ICML’21), July 18-24, 2021.
478. Bochen Tan and Jason Cong, “Optimality Study of Existing Quantum Computing Layout Synthesis Tools,” IEEE Transactions on Computers, September 2021, Vol 70, Issue 9, pp 1363-1373, DOI 10.1109/TC.2020.3009140
479. Bochen Tan and Jason Cong, “Optimal Qubit Mapping with Simultaneous Gate Absorption,”ICCAD Special Session Paper, the 2021 IEEE/ACM International Conference on Computer-Aided Design (ICCAD’21), November 1-4, 2021, DOI: 10.1109/ICCAD51958.2021.9643554.
2022 (Total 15)
480. Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, and Jason Cong, “AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators”, ACM Transactions on Design Automation of Electronic Systems, Volume 27, Issue 4, Article 32, pp 1-27, February 2022.
481. Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, and Jason Cong, “Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication,” Proceedings of the 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA ’22), February 2022. Association for Computing Machinery, New York, NY, USA, pp 65–77, DOI: 10.1145/3490422.3502357.
482. Licheng Guo, Pongstorn Maidee, Yun Zhou, Chris Lavin, Jie Wang, Yuze Chi, Weikang Qiao, Alireza Kaviani, Zhiru Zhang, and Jason Cong, “RapidStream: Parallel Physical Implementation of FPGA HLS Designs,” Proceedings of the 2022 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA ’22), February 27-March 1, 2022, Virtual Event, USA. ACM, New York, NY, USA, pp 1-12,DOI:10.1145/3490422.3502361. (Best Paper Award).
483. Yuze Chi, Licheng Guo, and Jason Cong, “Accelerating SSSP for Power-Law Graphs,” Proceedings of the 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA ’22), February 27-March 1, 2022, Virtual Event, CA, USA. ACM, New York, NY, USA, pp 190-200,DOI: 10.1145/3490422.350235.
484. Atefeh Sohrabizadeh, Yuze Chi, Jason Cong, “StreamGCN: Accelerating Graph Convolutional Networks with Streaming Processing,” 2022 IEEE Custom Integrated Circuits Conference (CICC), April 2022, Newport Beach, CA, pp 1-8. DOI: 10.1109/CICC53496.2022.9772832.
485. Linghao Song, Yuze Chi, and Jason Cong, “Pyxis: An Open-Source Performance Dataset of Sparse Accelerators,” the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 22-27, 2022, pp 76-80. https://ieeexplore.ieee.org/document/9746473.
486. Linghao Song, Yuze Chi, Licheng Guo, and Jason Cong, “Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication.” Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, July 10–14, 2022, pp 211-216. https://doi.org/10.1145/3489517.3530420.
487. Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, and Jason Cong, “Automated Accelerator Optimization Aided by Graph Neural Networks.” Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC), July 10–14, 2022, San Francisco, CA, USA, pp 55-60. https://doi.org/10.1145/3489517.3530409.
488. Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, and Jason Cong, “Improving GNN-Based Accelerator Design Automation with Meta Learning.” Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC), July 10–14, 2022, San Francisco, CA, USA, 4 pages.
489. Wan-Hsuan Lin, Bochen Tan, Murphy Yuezhen Niu, Jason Kimko, and Jason Cong , “Domain-Specific Quantum Architecture Optimization,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (Early Access), August 29, 2022, DOI: 1109/JETCAS.2022.3202870.
490. Sihao Liu , Jian Weng , Dylan Kupsh, Atefeh Sohrabizadeh , Zhengrong Wang , Licheng Guo, Jiuyang Liu, Maxim Zhulin, Rishabh Mani, Lucheng Zhang, Jason Cong, Tony Nowatzki, “OverGen: Improving FPGA Usability through Domain-specific Overlay Generation.” The 55th IEEE/ACM International Symposium on Microarchitecture (MICRO 2022), Chicago, IL, October 1-5, 2022.
491. Bochen Tan, Dolev Bluvstein, Mikhail D. Lukin, and Jason Cong, “Qubit Mapping for Reconfigurable Atom Array,” Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design (ICCAD ’22). Association for Computing Machinery, New York, NY, USA, Article 107, pp 1–9, October 2022, https://dl.acm.org/doi/abs/10.1145/3508352.3549331.
492. Young-kyu Choi, Yuze Chi, Jason Lau, and Jason Cong , “TARO: Automatic Optimization for Free-Running Kernels in FPGA High-Level Synthesis,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 41, No. 12, December 2022, DOI: 10.1109/TCAD.2022.3216544.
493. Weikang Qiao, Licheng Guo, Zhenman Fang, Mau-Chung Frank Chang, and Jason Cong, “TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-based FPGAs,” IEEE Transactions on Emerging Topics in Computing, pp. 1-15, December 19, 2022, DOI: 10.1109/TETC.2022.3228575.
494. Jason Cong, Jason Lau, Gai Liu, Stephen Neuendorffer, Peichen Pan, Kees Vissers, Zhiru Zhang, “FPGA HLS Today: Successes, Challenges, and Opportunities.” ACM Transactions on Reconfigurable Technology and Systems, Volume 15, Issue 4, Article No. 5, pp 1–42, December 2022. https://doi.org/10.1145/3530775.
2023 (Total 13)
495. Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, Jason Cong, “Democratizing Domain-Specific Computing,” Communications of the ACM, Volume 66, Issue 1, January 2023, pp 74–85, https://doi.org/10.1145/3524108.
496. Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou, “CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture,” Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA ’23), February 12–14, 2023, Monterey, CA, USA. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3543622.3573210.
497. Linghao Song, Licheng Guo, Suhail Basalama, Yuze Chi, Robert F. Lucas, and Jason Cong, “Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver.” Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA ’23), February 12-14, 2023, Monterey, CA. ACM, New York, NY, USA, pp 247–258. https://doi.org/10.1145/3543622.3573182.
498. Basalama, Suhail, Atefeh Sohrabizadeh, Jie Wang, Licheng Guo, and Jason Cong, “FlexCNN: An End-to-End Framework for Composing CNN Accelerators on FPGA.” ACM Transactions on Reconfigurable Technology and Systems, Vol 16, Issue 2, Article No. 23, pp 1-32, March 11, 2023, https://dl.acm.org/doi/10.1145/3570928.
499. Young-kyu Choi, Carlos Santillana, Yujia Shen, Adnan Darwiche, Jason Cong, “FPGA Acceleration of Probabilistic Sentential Decision Diagrams with High-Level Synthesis,” ACM Transactions on Reconfigurable Technology and Systems, Vol 16, Issue 2, Article No. 18, pp 1-22, March 11, 2023, https://dl.acm.org/doi/10.1145/3561514.
500. Licheng Guo, Pongstorn Maidee, Yun Zhou, Chris Lavin, Eddie Hung, Wuxi Li, Jason Lau, Weikang Qiao, Yuze Chi, Linghao Song, Yuanlong Xiao, Alireza Kaviani, Zhiru Zhang, and Jason Cong, “RapidStream 2.0: Automated Parallel Implementation of Latency Insensitive FPGA Designs Through Partial Reconfiguration,” ACM Transactions on Reconfigurable Technology and Systems, (Early Access), April 26, 2023, DOI 1145/3593025.
501. Moazin Khatti, Xingyu Tian, Yuze Chi, Licheng Guo, Jason Cong and Zhenman Fang, “PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs.” 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), May 8-11, 2023, Marina Del Rey, CA, pp 12-22.
502. Neha Prakriya, Yu Yang, Baharan Mirzasoleiman, Cho-Jui Hsieh, Jason Cong, “NeSSA: Near-Storage Data Selection for Accelerated Machine Learning Training,” HotStorage ’23: Proceedings of the 15th ACM Workshop on Hot Topics in Storage and File Systems, July 2023, Boston, MA. ACM, New York, NY, pp 8-15. https://dl.acm.org/doi/10.1145/3599691.3603404.
503. Wan-Hsuan Lin, Jason Kimko, Bochen Tan, Nikolaj Bjørner, Jason Cong, “Scalable Optimal Layout Synthesis for NISQ Quantum Processors,” Proceedings of the 60th ACM/IEEE Design Automation Conference (DAC), July 9-13, 2023, San Francisco, CA, 6 pages.
504. Suhail Basalama, Jie Wang, Jason Cong, “A Comprehensive Automated Exploration Framework for Systolic Array Designs,” Proceedings of the 60th ACM/IEEE Design Automation Conference (DAC), July 9-13, 2023, San Francisco, CA, 6 pages.
505. Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang and Jason Cong, “TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design,” ACM Transactions on Reconfigurable Technology Systems, Accepted on July 2023. https://doi.org/10.1145/3609335.
506. Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, and Jason Cong, “Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs,” Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2023.
507. Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, and Jason Cong, “Robust GNN-based Representation Learning for HLS.” Proceedings of the 42nd IEEE/ACM International Conference on Computer-Aided Design (ICCAD ’23), October 28-November 2, 2023. Best Paper Award candidate.
2024 (Total 9)
508. Zifan He, Linghao Song, Robert F. Lucas, Jason Cong, “LevelST: Stream-based Accelerator for Sparse Triangular Solver,” International Symposium of Field-Programmable Gate Array (FPGA’24), Monterey, CA, March 3, 2024. https://doi.org/10.1145/3626202.3637568.
509. D.B. Tan, D. Bluvstein, M.D. Lukin, and J. Cong, “Compiling Quantum Circuits for Dynamically Field-Programmable Neutral Atoms Array Processors,” Quantum, Vol. 8, pp. 1281 (March 14, 2024). https://doi.org/10.22331/q-2024-03-14-1281.
510. Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong, “TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGA,” ASPLOS ’24: Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3, pp 966-980, April 2024, https://dl.acm.org/doi/pdf/10.1145/3620666.3651347
511. Zongyue Qin[1], Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, and Yizhou Sun, Jason Cong. 2024. Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis. In 2024 ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD ’24), September 9–11, 2024, Salt Lake City, UT, USA. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3670474.3685952.
512. Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong. 2024. Learning to Compare Hardware Designs for High-Level Synthesis. In 2024 ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD ’24), September 9–11, 2024, Salt Lake City, UT, USA. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3670474.3685940.
513. Moazin Khatti, Xingyu Tian, Ahmad Sedigh Baroughi, Akhil Raj Baranwal, Yuze Chi, Licheng Guo, Jason Cong, Zhenman Fang, “PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs”, ACM Transactions on Reconfigurable Technology and Systems, Volume 17, Issue 3, Article No. 42, pp 1-31, September 30, 2024, https://dl.acm.org/doi/10.1145/3676849.
514. Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong, “Harnessing GNNs for Robust Representation Learning in High-Level Synthesis,” IEEE Transactions on Circuits and Systems for Artificial Intelligence (Early Access), pp 1-11, October 24, 2024. https://ieeexplore.ieee.org/document/10734257.
515. Jason Lau, Yuanlong Xiao, Yutong Xie, Yuze Chi, Linghao Song, Shaojie Xiang, Michael Lo, Zhiru Zhang, Jason Cong, Licheng Guo, “RapidStream IR: Infrastructure for FPGA High-Level Physical Synthesis”, 2024 International Conference on Computer-Aided Design (ICCAD), October 27–31, 2024, New York, NY, USA.
516. Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong, “Efficient Task Transfer for HLS DSE”, 2024 International Conference on Computer-Aided Design (ICCAD), October 27–31, 2024, New York, NY, USA.