• Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs

    Charlotte Christopherson
    Charlotte Christopherson
    Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse Beu, Matthew Mattina, Robert Mullins
    The Winograd or Cook-Toom class of algorithms help to reduce the overall compute complexity of many modern deep convolutional neural networks (CNNs). Although there has been…
    • Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs.pdf
    • over 1 year ago
    • Arm Research
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