Graphics neural network processor, method, and system

US11900665B2 · kind B2 · utility

Assignee

• Intel Corporation · US

Inventors

• Barnan Das · Santa Clara, US
• Mayuresh M. Varerkar · Folsom, US
• Narayan Biswal · Folsom, US
• Stanley J. Baran · Elk Grove, US
• Gokcen Cilingir · San Jose, US
• Nilesh V. Shah · Folsom, US
• Archie Sharma · Folsom, US
• Sherine Abdelhak · Beaverton, US
• Praneetha Kotha · Atlanta, US
• Neelay Pandit · Beaverton, US
• John C. Weast · Portland, US
• Mike B. Macpherson · Portland, US
• Dukhwan Kim · Mountain View, US
• Linda L. Hurd · Auburn Lake Trails, US
• Abhishek R. Appu · Cameron Park, US
• Altug Koker · Cameron Park, US
• Joydeep Ray · Folsom, US

Key dates

• Filing date: Jul 25, 2023
• Grant date: Feb 13, 2024
• Expiry date: Jul 25, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V40/23
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A graphics processor can include a processing cluster array including a plurality of processing clusters coupled with the plurality of memory controllers, each processing cluster of the plurality of processing clusters including a plurality of streaming multiprocessors, the processing cluster array configured for partitioning into a plurality of partitions. The plurality of partitions include a first partition including a first plurality of streaming multiprocessors configured to perform operations for a first neural network, The operations for the first neural network are isolated to the first partition. The plurality of partitions also include a second partition including a second plurality of streaming multiprocessors configured to perform operations for a second neural network. The operations for the second neural network are isolated to the second partition and protected from operations performed for the first neural network.