From model to FPGA: Software-hardware co-design for efficient neural network acceleration
2016 IEEE Hot Chips 28 Symposium (HCS)(2016)
摘要
Presents a collection of slides covering the following topics: FPGA; software-hardware co-design; neural network acceleration; DeePhi Tech; deep learning; CNN acceleration; efficient inference engine; processing element architecture; and LSTM.
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关键词
FPGA,neural network acceleration,software-hardware codesign,DeePhi Tech,deep learning,CNN acceleration,inference engine,processing element architecture,LSTM
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