- 专利标题: Systolic arithmetic on sparse data
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申请号: US17095544申请日: 2020-11-11
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公开(公告)号: US11663746B2公开(公告)日: 2023-05-30
- 发明人: Abhishek R. Appu , Prasoonkumar Surti , Jill Boyce , Subramaniam Maiyuran , Michael Apodaca , Adam T. Lake , James Holland , Vasanth Ranganathan , Altug Koker , Lidong Xu , Nikos Kaburlasos
- 申请人: Intel Corporation
- 申请人地址: US CA Santa Clara
- 专利权人: Intel Corporation
- 当前专利权人: Intel Corporation
- 当前专利权人地址: US CA Santa Clara
- 代理机构: Jaffery Watson Mendonsa & Hamilton LLP
- 主分类号: G06T9/00
- IPC分类号: G06T9/00 ; G06T15/00 ; G06N3/045
摘要:
Embodiments described herein provided for an instruction and associated logic to enable a processing resource including a tensor accelerator to perform optimized computation of sparse submatrix operations. One embodiment provides hardware logic to apply a numerical transform to matrix data to increase the sparsity of the data. Increasing the sparsity may result in a higher compression ratio when the matrix data is compressed.
公开/授权文献
- US20210150770A1 SYSTOLIC ARITHMETIC ON SPARSE DATA 公开/授权日:2021-05-20
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