Invention Grant
- Patent Title: Dynamic precision for neural network compute operations
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Application No.: US17317857Application Date: 2021-05-11
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Publication No.: US11748606B2Publication Date: 2023-09-05
- Inventor: Kamal Sinha , Balaji Vembu , Eriko Nurvitadhi , Nicolas C. Galoppo Von Borries , Rajkishore Barik , Tsung-Han Lin , Joydeep Ray , Ping T. Tang , Michael S. Strickland , Xiaoming Chen , Anbang Yao , Tatiana Shpeisman , Abhishek R. Appu , Altug Koker , Farshad Akhbari , Narayan Srinivasa , Feng Chen , Dukhwan Kim , Nadathur Rajagopalan Satish , John C. Weast , Mike B. MacPherson , Linda L. Hurd , Vasanth Ranganathan , Sanjeev S. Jahagirdar
- 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: G06F7/50
- IPC: G06F7/50 ; G06N3/063 ; G06N3/08 ; G06N3/04 ; G06T1/20 ; G06F9/30 ; G06T15/00 ; G06F15/78 ; G06F15/76 ; G06F1/3287 ; G06F1/3293 ; G06N3/084 ; G06N3/044 ; G06N3/045 ; G06T1/60
Abstract:
In an example, an apparatus comprises a compute engine comprising a high precision component and a low precision component; and logic, at least partially including hardware logic, to receive instructions in the compute engine; select at least one of the high precision component or the low precision component to execute the instructions; and apply a gate to at least one of the high precision component or the low precision component to execute the instructions. Other embodiments are also disclosed and claimed.
Public/Granted literature
- US20210334637A1 DYNAMIC PRECISION FOR NEURAL NETWORK COMPUTE OPERATIONS Public/Granted day:2021-10-28
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