Invention Grant
- Patent Title: Machine learning sparse computation mechanism
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Application No.: US17193658Application Date: 2021-03-05
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Publication No.: US11430083B2Publication Date: 2022-08-30
- Inventor: Eriko Nurvitadhi , Balaji Vembu , Tsung-Han Lin , Kamal Sinha , Rajkishore Barik , Nicolas C. Galoppo Von Borries
- 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: G06F17/16
- IPC: G06F17/16 ; G06T1/20 ; G06F9/30 ; G06F9/38 ; G06F12/0811 ; G06F12/0815 ; G06F12/0831 ; G06F12/0888 ; H03M7/30 ; G06K9/62 ; G06N20/00 ; G06F12/02 ; G06F9/48 ; G06N3/04 ; G06N3/08 ; G06T1/60 ; G06T15/00
Abstract:
Techniques to improve performance of matrix multiply operations are described in which a compute kernel can specify one or more element-wise operations to perform on output of the compute kernel before the output is transferred to higher levels of a processor memory hierarchy.
Public/Granted literature
- US20210217130A1 MACHINE LEARNING SPARSE COMPUTATION MECHANISM Public/Granted day:2021-07-15
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