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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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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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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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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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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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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Xilinx Teams with Leading Universities Around the World to Establish Adaptive Compute Research Clusters to spearhead novel research into all areas of adaptive compute acceleration. The cluster at UCLA will focus on energy-efficient computing, customized computing for big-data applications and highly scalable algorithms. Prof. Jason Cong, Director for the Center for Customizable Domain-Specific Computing at…
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Zhe was selected as one of eight recipients of the 2019 Chancellor’s Award for Postdoctoral Research. This award was established in 1998 to recognize the important contributions that postdoctoral scholars make to UCLA’s research mission. Zhe devotes his postdoctoral research efforts to using customizable computing to advance the real-time closed-loop neurofeedback for the brain-machine interface,…
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Prof Jason Cong gave a keynote speech entitled “Design Automation for Customizable Computing” at ASP-DAC’2020 on Jan 20 2020 in Beijing China.  ASP-DAC 2020 is the 25th annual international conference on VLSI design automation in Asia and South Pacific region one of the most active regions of design and fabrication of silicon chips in the…
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Computer Science Professor Jason Cong, together with his co-authors Zhenyuan Ruan (former student, now at MIT), and Tong He (former student, now at Google), have received the 2019 IEEE/ACM William J. McCalla ICCAD Best Paper Award for their paper “Analyzing and Modeling In-Storage Computing Workloads On EISC — An FPGA-Based System-Level Emulation Platform” published in…
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