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Zhou et al., 2018 - Google Patents

Addressing sparsity in deep neural networks

Zhou et al., 2018

Document ID
14673694380208102852
Author
Zhou X
Du Z
Zhang S
Zhang L
Lan H
Liu S
Li L
Guo Q
Chen T
Chen Y
Publication year
Publication venue
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

External Links

Snippet

Neural networks (NNs) have been demonstrated to be useful in a broad range of applications, such as image recognition, automatic translation, and advertisement recommendation. State-of-the-art NNs are known to be both computationally and memory …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F9/38Concurrent instruction execution, e.g. pipeline, look ahead
    • G06F9/3885Concurrent instruction execution, e.g. pipeline, look ahead using a plurality of independent parallel functional units
    • G06F9/3889Concurrent instruction execution, e.g. pipeline, look ahead using a plurality of independent parallel functional units controlled by multiple instructions, e.g. MIMD, decoupled access or execute
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    • G06F9/30003Arrangements for executing specific machine instructions
    • G06F9/30007Arrangements for executing specific machine instructions to perform operations on data operands
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    • GPHYSICS
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    • G06F15/00Digital computers in general; Data processing equipment in general
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