Falcon co-founder Dr. Jason Cong Receives IEEE Computer Society 2016 Technical Achievement Award

Falcon co-founder and UCLA Chancellor’s Professor Jason Cong (Computer Science and Electrical Engineering at the UCLA Henry Samueli School of Engineering and Applied Science), has been selected to receive the IEEE Computer Society 2016 Technical Achievement Award. The award is given for outstanding contributions in computer and information science and engineering. The society cited Cong […]

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Co-founder Dr. Jason Cong discussed FPGA acceleration opportunities in datacenters with NextPlatform.com

A new article named “Broader Paths Etched into FPGA Datacenter Roadmap” has been published on NextPlatform.com featuring an in-depth interview with Dr. Jason Cong, Falcon co-founder and Chief scientific advisor. “In his 25-year career working with FPGAs, UCLA’s Dr. Jason Cong has watched the devices move from purpose-driven implementations, to devices for prototyping and now, in […]

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Co-founder Dr. Jason Cong was selected to receive IEEE Computer Society 2016 Technical Achievement Award

Prof. Jason Cong, Falcon co-founder and chief scientific advisor, has been selected to receive the IEEE Computer Society 2016 Technical Achievement Award for his outstanding contributions in computer and information science and engineering. The society cited Cong “for setting the algorithmic foundations for high-level synthesis of field programmable gate arrays.” Merlin Compiler from Falcon is […]

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Co-founder Dr. Jason Cong gave keynote speech at HALO’2015

Prof. Cong gave keynote speech entitled “Machine Learning on FPGAs” on November 5, 2022 at HALO’2015 (the First Workshop on Hardware and Algorithms for Learning On-a-Chip) co-located at the International Conference on Computer-Aided Design (ICCAD’15) About HALO: Machine learning algorithms, such as those for image based search, face recognition, multi-category classification, and scene analysis, are […]

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Falcon received the highly competitive Small Business Innovative Research (SBIR) grant from the National Science Foundation in May 2015

Phase I Project Outcomes Report* This Small Business Innovation Research (SBIR) Phase I project focuses on enabling energy-efficient customized computing for big data applications in datacenters. The most significant barrier for widespread adoption of FPGA-based customized computing is the difficulty in programming FPGAs. The innovation of this project includes the development of an automated compiler […]

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