Compute optimization mechanism for deep neural networks
US12198221B2 · kind B2 · utility
Assignee
Inventors
- 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
Key dates
| Filing date | Feb 8, 2024 |
| Grant date | Jan 14, 2025 |
| Priority date | — |
| Expiry date | Feb 8, 2044 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.