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Lu et al., 2021 - Google Patents

Optimizing depthwise separable convolution operations on gpus

Lu et al., 2021

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Document ID
11999843097500913491
Author
Lu G
Zhang W
Wang Z
Publication year
Publication venue
IEEE Transactions on Parallel and Distributed Systems

External Links

Snippet

The depthwise separable convolution is commonly seen in convolutional neural networks (CNNs), and is widely used to reduce the computation overhead of a standard multi-channel 2D convolution. Existing implementations of depthwise separable convolutions target …
Continue reading at eprints.whiterose.ac.uk (PDF) (other versions)

Classifications

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    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
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