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Thread: Survey on FPGA-based Accelerators for CNNs

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    Survey on FPGA-based Accelerators for CNNs

    CNNs (convolutional neural networks) have been recently successfully applied for a wide range of cognitive challenges. Given high computational demands of CNNs, custom hardware accelerators are vital for boosting their performance. The high energy-efficiency, computing capabilities and reconfigurability of FPGA make it a promising platform for hardware acceleration of computation-intensive CNNs.


    Our paper surveys 75+ techniques for implementing and optimizing CNN algorithms on FPGA. Accepted in Neural Computing and Applications journal 2018.

    PDF is attached 2018_NCAA_Mittal_FPGA_Accelerator_CNN.pdf

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    Blogger Eric Esteve's Avatar
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    I didn't read this paper in depth, but it looks very detailed. Happy to see that researchers are using Semiwiki to share their hard work!
    Just a question: what is your business model, if you share for free such a good work?

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    Eric Esteve - IPnest (IP Marketing & Survey & Strategy)
    +33 608 130 656

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    Thanks a lot for your kind words. As a researcher, I am happy to share my insights and knowledge. If researchers/developers read or refer my articles, this a sufficient encouragement and reward for me.

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