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FPGA 2018 : International Symposium on Field-Programmable Gate Arrays
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Monterey, California, USA
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The 25th annual ACM International Symposium on Field-Programmable Gate Arrays (FPGA’2017) will take place Wednesday February 22nd through Friday the 24th in Monterey, California. The three-day symposium will feature nine technical sessions with 29 papers, describing the state-of-the-art work on the architectures, tools, and applications of FPGAs. In particular, machine learning and artificial intelligence are garnering immense interest recently, both by computing researchers as well as by the general public. The conference will consider the role for FPGAs in these exploding areas — Might an FPGA be involved in guiding future self-driving cars? Or in interpreting spoken directions to a mobile handset?

The conference will launch Wednesday morning with the third workshop on overlay architectures for FPGAs, followed by a one-hour tutorial on deep learning by Song Han from Stanford/DeePhi to kick off an afternoon special session on the role of FPGAs in machine learning. The first technical session on Thursday will continue to focus on this topic. These two sessions will present a number of novel deep learning accelerators, showcasing the advantages of FPGAs in providing low latency and high energy efficiency. In addition to FPGAs for machine learning, other major topics covered by the conference include:

    FPGAs in datacenter
    Novel architecture and optimization of memory systems
    New techniques in high-level synthesis and OpenCL
    Latest advances in FPGA architectures and CAD tools
    FPGA applications in computational genomics, graph processing, networking, and privacy-preserving computation

The banquet panel will bring together industry experts to share their perspective on new opportunities and challenges in deploying FPGAs for cloud computing. The following panelists will debate the merits and weaknesses of current systems and discuss potential solutions. 
Last updated by Xin Yao in 2017-08-21
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