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Jason Cong is listed as University of California, Los Angeles (UCLA) at UCLA, based in Los Angeles, California, United States. AeroLeads shows a work email signal at cs.ucla.edu, phone signal with area code 310, and a matched LinkedIn profile for Jason Cong.
Jason Cong previously worked as University of California, Los Angeles at Ucla and Chair, Computer Science Department at Ucla. Jason Cong holds Phd, Computer Science from University Of Illinois Urbana-Champaign.
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AeroLeads found 2 current-domain work email signals for Jason Cong. Compare company email patterns before reaching out.
Jason Cong is a University of California, Los Angeles (UCLA) at UCLA. He possess expertise in algorithms, eda, computer science, parallel computing, high performance computing and 15 more skills.
Listed skills include Algorithms, Eda, Computer Science, Parallel Computing, and 16 others.
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Los Angeles, Ca, Us
Volgenau Chair for Engineering ExcellenceDirector, Center for Customizable Domain-Specific ComputingDirector, VLSI Architecture, Synthesis, and Technology Laboratory (VAST)
Sunnyvale, California, Us
If you are designing large-scale FPGAs and interested in 10X shorter compilation time and 2X faster clock speed, please check out RapidStream Design Automation.
Leveraging multi-year research outcome and experience from the Center Domain Specific Computing (CDSC) funded by the Expeditions in Computing program from the National Science Foundation, the CDSC Director, Prof. Jason Cong co-founded Falcon Computing with some postdoc and graduate researchers from CDSC. Falcon is dedicated to enabling FPGA-based customized computing in data centers provides automated compilation tool, runtime management tool, as well as acceleration libraries to enable scalable and seamless integration of heterogeneous accelerating technologies into existing data center infrastructures to achieve orders-of-magnitude performance/power efficiency improvement for key big-data applications.
Dr. Cong co-founded AutoESL with two of his PhD students in 2006, where Dr. Cong served as its Chairman and the Chief Technology Advisor. AutoESL’s HLS tool (AutoPilot) was able to produce efficient RTL implementations from high-level C/C++/SystemC specifications with quality comparable or better than optimized manual designs for a wide range of complex industrial applications [6], and was adopted by a number of the largest IT companies worldwide. AutoESL was acquired by Xilinx, the largest FPGA company, in 2011, and its HLS tool (renamed to Vivado HLS) becomes the first widely deployed and most successful FPGA HLS tool, with users from over a thousand companies and top universities worldwide.
Prof. Cong founded Aplus Design Technologies in 1998, and served as its CEO/president until it was acquired by Magma (now part of Synopsys) in 2003. Aplus developed the first commercially available FPGA architecture evaluation and physical synthesis tools, which were OEMed by multiple FPGA companies and distributed to tens of thousands of designers worldwide. it was cquired by Magma Design Automation in 2003 (now part of Synopsys). Aplus' success built upon Dr. Cong's pioneer in the field of FPGA synthesis. His FlowMap algorithm developed in 1994 presented the first polynomial-time depth-optimal mapping algorithm for look-up table based FPGAs, and is now a cornerstone in all FPGA synthesis systems. His group subsequently developed a number of highly innovative FPGA synthesis algorithms, such as Boolean matching for complex programmable logic blocks, mapping for multi-objective trade-off, which served as the basis of Aplus Design Automation. For his contribution to FPGA logic synthesis, Dr. Cong received the 2011 ACM/IEEE Richard Newton Technical Impact Award in EDA, “for pioneering work on technology mapping for FPGA that has made significant impact to the FPGA research community and industry.”
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Jason Cong works for UCLA.
Jason Cong is listed as University of California, Los Angeles (UCLA) at UCLA.
AeroLeads has found 2 work email signals at @cs.ucla.edu for Jason Cong at UCLA.
AeroLeads has found 2 phone signal(s) with area code 310 for Jason Cong at UCLA.
Jason Cong is based in Los Angeles, California, United States while working with UCLA.
Jason Cong has worked for Ucla, Rapidstream, Falcon Computing Solutions, Inc (Acquired By Amd/Xilinx In 2020), Autoesl Design Technologies, Inc (Acquired By Xilinx In 2011), and Magma Design Automation.
You can use AeroLeads to view verified contact signals for Jason Cong at UCLA, including work email, phone, and LinkedIn data when available.
Jason Cong holds Phd, Computer Science from University Of Illinois Urbana-Champaign.
Jason Cong is listed with skills including Algorithms, Eda, Computer Science, Parallel Computing, High Performance Computing, Computer Architecture, Fpga, and Asic.
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