Invention Application
- Patent Title: PROGRAMMABLE COARSE GRAINED AND SPARSE MATRIX COMPUTE HARDWARE WITH ADVANCED SCHEDULING
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Application No.: US17541413Application Date: 2021-12-03
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Publication No.: US20220164916A1Publication Date: 2022-05-26
- Inventor: Eriko Nurvitadhi , Balaji Vembu , Nicolas C. Galoppo Von Borries , Rajkishore Barik , Tsung-Han Lin , Kamal Sinha , Nadathur Rajagopalan Satish , Jeremy Bottleson , Farshad Akhbari , Altug Koker , Narayan Srinivasa , Dukhwan Kim , Sara S. Baghsorkhi , Justin E. Gottschlich , Feng Chen , Elmoustapha Ould-Ahmed-Vall , Kevin Nealis , Xiaoming Chen , Anbang Yao
- 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 ; G06N3/04 ; G06N3/063 ; G06F9/38 ; G06F9/30 ; G06N3/08
Abstract:
One embodiment provides for a compute apparatus to perform machine learning operations, the compute apparatus comprising a decode unit to decode a single instruction into a decoded instruction, the decoded instruction to cause the compute apparatus to perform a complex compute operation.
Public/Granted literature
- US11727527B2 Programmable coarse grained and sparse matrix compute hardware with advanced scheduling Public/Granted day:2023-08-15
Information query
