[content] => 
    [params] => Array
            [0] => /forum/index.php?threads/survey-on-fpga-based-accelerators-for-cnns.10813/

    [addOns] => Array
            [DL6/MLTP] => 13
            [Hampel/JobRunner] => 1010070
            [SemiWiki/Newsletter] => 1000010
            [SemiWiki/WPMenu] => 1000010
            [ThemeHouse/XLink] => 1000670
            [ThemeHouse/XPress] => 1010392
            [XF] => 2010571
            [XFI] => 1020470
            [vw/vw] => 1214010024

    [wordpress] => /var/www/html

Survey on FPGA-based Accelerators for CNNs


New member
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 View attachment 22400

Eric Esteve

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?


New member
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.