Invention Grant
- Patent Title: Systolic arithmetic on sparse data
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Application No.: US17095544Application Date: 2020-11-11
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Publication No.: US11663746B2Publication Date: 2023-05-30
- Inventor: Abhishek R. Appu , Prasoonkumar Surti , Jill Boyce , Subramaniam Maiyuran , Michael Apodaca , Adam T. Lake , James Holland , Vasanth Ranganathan , Altug Koker , Lidong Xu , Nikos Kaburlasos
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Jaffery Watson Mendonsa & Hamilton LLP
- Main IPC: G06T9/00
- IPC: G06T9/00 ; G06T15/00 ; G06N3/045

Abstract:
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.
Public/Granted literature
- US20210150770A1 SYSTOLIC ARITHMETIC ON SPARSE DATA Public/Granted day:2021-05-20
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