Invention Application
- Patent Title: COMPUTE OPTIMIZATION MECHANISM FOR DEEP NEURAL NETWORKS
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Application No.: US17529862Application Date: 2021-11-18
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Publication No.: US20220156876A1Publication Date: 2022-05-19
- Inventor: Prasoonkumar Surti , Narayan Srinivasa , Feng Chen , Joydeep Ray , Ben J. Ashbaugh , Nicolas C. Galoppo Von Borries , Eriko Nurvitadhi , Balaji Vembu , Tsung-Han Lin , Kamal Sinha , Rajkishore Barik , Sara S. Baghsorkhi , Justin E. Gottschlich , Altug Koker , Nadathur Rajagopalan Satish , Farshad Akhbari , Dukhwan Kim , Wenyin Fu , Travis T. Schluessler , Josh B. Mastronarde , Linda L. Hurd , John H. Feit , Jeffery S. Boles , Adam T. Lake , Karthik Vaidyanathan , Devan Burke , Subramaniam Maiyuran , Abhishek R. Appu
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Main IPC: G06T1/20
- IPC: G06T1/20 ; G06T1/60 ; G09G5/36 ; G06F3/06 ; G06N3/08 ; G06F3/14 ; G06N3/04 ; G06N3/063

Abstract:
An apparatus to facilitate compute optimization is disclosed. The apparatus includes one or more processing units to provide a first set of shader operations associated with a shader stage of a graphics pipeline, a scheduler to schedule shader threads for processing, and a field-programmable gate array (FPGA) dynamically configured to provide a second set of shader operations associated with the shader stage of the graphics pipeline.
Public/Granted literature
- US11562461B2 Compute optimization mechanism for deep neural networks Public/Granted day:2023-01-24
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