Invention Grant
- Patent Title: Sparse convolutional neural network accelerator
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Application No.: US15458837Application Date: 2017-03-14
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Publication No.: US10997496B2Publication Date: 2021-05-04
- Inventor: William J. Dally , Angshuman Parashar , Joel Springer Emer , Stephen William Keckler , Larry Robert Dennison
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Leydig, Voit & Mayer, Ltd.
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06F7/544 ; G06N3/04 ; G06F7/523 ; G06N3/08

Abstract:
A method, computer program product, and system perform computations using a sparse convolutional neural network accelerator. Compressed-sparse data is received for input to a processing element, wherein the compressed-sparse data encodes non-zero elements and corresponding multi-dimensional positions. The non-zero elements are processed in parallel by the processing element to produce a plurality of result values. The corresponding multi-dimensional positions are processed in parallel by the processing element to produce destination addresses for each result value in the plurality of result values. Each result value is transmitted to a destination accumulator associated with the destination address for the result value.
Public/Granted literature
- US20180046916A1 SPARSE CONVOLUTIONAL NEURAL NETWORK ACCELERATOR Public/Granted day:2018-02-15
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