Congratulations to Prof Jason Cong for receiving the 2022 IEEE Robert N Noyce Medal For fundamental contributions to electronic design automation and FPGA design methods The IEEE Robert N Noyce Medal is a science award presented by the IEEE for outstanding contributions to the microelectronics industry The medal is named in honour of Robert N…
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Prof. Cong giving a keynote speech at ISVLSI 2021
Prof. Cong gave a keynote speech entitled “Layout Synthesis for Quantum Computing: Gap Analysis and Optimal Solution” at the 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) on Thursday, July 8, 2021. YouTube Link for the talk: Link to ISVLSI Keynote speakers: http://www.eng.ucy.ac.cy/theocharides/isvlsi21/keynotes.html
Prof. Cong giving a keynote speech at IPDPS’21
Prof. Cong gave a keynote speech entitled From Parallelization to Customization – Challenges and Opportunities at the 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS) on Thursday, May 20, 2021. About IPDPS IPDPS is an international forum for engineers and scientists from around the world to present their latest research findings in all aspects…
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Jie Wang won the Outstanding Graduate Student Research Award by UCLA CS Department
Jie Wang was selected as one of the four winners of the 2021 Outstanding Graduate Student Research Awards by UCLA CS department. Jie is currently a sixth-year PhD student under the supervision of Prof.Jason Cong. He received his bachelor degree from Tsinghua University. His research focuses on compilation support and architecture exploration of systolic array architectures. In…
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Best Paper Award at the 29th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA 2021)
Computer Science Professor Jason Cong and his students Licheng Guo, Yuze Chi, Jie Wang, Jason Lau, and Weikang Qiao, in collaboration with Professor Zhiru Zhang and his student Ecenur Ustun at the Cornell University, have received the Best Paper Award from the 29th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA 2021) for their paper…
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Congratulations to Linghao Song for Receiving the EDAA Outstanding Dissertations Award 2020
Linghao was selected as one of the four winners of EDAA Outstanding Dissertations Award 2020. In the dissertation, he focused on the architecture for deep learning and graph processing. Linghao is a postdoctoral researcher under the supervision of Prof. Jason Cong, and his current research project is FPGA acceleration for graph-based machine learning. He received…
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Congratulations to Atefeh Sohrabizadeh for Winning Cadence Women in Technology Scholarship
Atefeh Sohrabizadeh is one of 15 winners of the Cadence Women in Technology Scholarship. Atefeh joined the Ph.D. program in UCLA Computer Science Program in Fall 2018. Her research interests lie in parallel architecture and programming. She is involved in research projects focusing on customized computing for deep learning applications and raising the abstraction level for…
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Congratulations to Prof. Jason Cong for Election to the Fellow of the National Academy of Inventors
The National Academy of Inventors (NAI) announced Tuesday its 2020 class of fellows, including four UCLA Samueli School of Engineering faculty members. There are now 18 UCLA Samueli-affiliated NAI fellows. Election to the NAI fellowship is the highest professional distinction exclusive for inventors and innovators from academic institutions. This year, 175 fellows joined this prestigious cohort in…
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Prof. Jason Cong appointed as the Volgenau Chair for Engineering Excellence in the Samueli School of Engineering
Professor Jason Cong has been appointed as the Volgenau Chair for Engineering Excellence in the Samueli School of Engineering. Prof. Cong joined the UCLA faculty in 1990. He is the Director of Center for Domain-Specific Computing (funded by an NSF Expeditions in Computing Award) and the Director of VLSI Architecture, Synthesis, and Technology (VAST) Laboratory….
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UCLA Computer Scientists Set Benchmarks to Optimize Quantum Computer Performance
Two UCLA computer scientists have shown that existing compilers, which tell quantum computers how to use their circuits to execute quantum programs, inhibit the computers’ ability to achieve optimal performance. Specifically, their research has revealed that improving quantum compilation design could help achieve computation speeds up to 45 times faster than currently demonstrated. For more…
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