Survey on FPGA-based Accelerators for CNNs

Discussion in 'Graphics and Semiconductor Industry' started by sparsh, Sep 29, 2018.

  1. sparsh

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    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. Especially, the higher energy efficiency of FPGAs than GPUs make them attractive.

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