- Patent Title: Compute optimizations for low precision machine learning operations
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Application No.: US17720804Application Date: 2022-04-14
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Publication No.: US11468541B2Publication Date: 2022-10-11
- Inventor: Elmoustapha Ould-Ahmed-Vall , Sara S. Baghsorkhi , Anhang Yao , Kevin Nealis , Xiaoming Chen , Altug Koker , Abhishek R. Appu , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Ben J. Ashbaugh , Barath Lakshmanan , Liwei Ma , Joydeep Ray , Ping T. Tang , Michael S. Strickland
- 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 ; G06F7/483 ; G06N20/00 ; G06F3/14 ; G06T1/60 ; G06N3/08 ; G06F9/30 ; G06N3/04 ; G06N3/063 ; G06F9/50 ; G06F9/38 ; G06T15/00

Abstract:
Embodiments described herein provide a graphics processor that can perform a variety of mixed and multiple precision instructions and operations. One embodiment provides a streaming multiprocessor that can concurrently execute multiple thread groups, wherein the streaming multiprocessor includes a single instruction, multiple thread (SIMT) architecture and the streaming multiprocessor is to execute multiple threads for each of multiple instructions. The streaming multiprocessor can perform concurrent integer and floating-point operations and includes a mixed precision core to perform operations at multiple or mixed precisions and dynamic ranges.
Public/Granted literature
- US20220245753A1 COMPUTE OPTIMIZATIONS FOR LOW PRECISION MACHINE LEARNING OPERATIONS Public/Granted day:2022-08-04
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