Invention Grant
- Patent Title: Sparse optimizations for a matrix accelerator architecture
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Application No.: US17303654Application Date: 2021-06-03
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Publication No.: US11676239B2Publication Date: 2023-06-13
- Inventor: Joydeep Ray , Scott Janus , Varghese George , Subramaniam Maiyuran , Altug Koker , Abhishek Appu , Prasoonkumar Surti , Vasanth Ranganathan , Andrei Valentin , Ashutosh Garg , Yoav Harel , Arthur Hunter, Jr. , SungYe Kim , Mike Macpherson , Elmoustapha Ould-Ahmed-Vall , William Sadler , Lakshminarayanan Striramassarma , Vikranth Vemulapalli
- 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: G06T1/20
- IPC: G06T1/20 ; G06F9/50 ; G06F12/0806 ; G06F15/80 ; G06F17/16 ; G06F7/544 ; G06N3/04 ; G06N3/08 ; G06N3/084 ; G06N3/048

Abstract:
Embodiments described herein include, software, firmware, and hardware logic that provides techniques to perform arithmetic on sparse data via a systolic processing unit. Embodiment described herein provided techniques to skip computational operations for zero filled matrices and sub-matrices. Embodiments additionally provide techniques to maintain data compression through to a processing unit. Embodiments additionally provide an architecture for a sparse aware logic unit.
Public/Granted literature
- US20210374897A1 SPARSE OPTIMIZATIONS FOR A MATRIX ACCELERATOR ARCHITECTURE Public/Granted day:2021-12-02
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