DYNAMIC DISTRIBUTED TRAINING OF MACHINE LEARNING MODELS

Described herein is a graphics processor comprising a memory device and a graphics processing cluster coupled with the memory device. The graphics processing cluster includes a plurality of graphics multiprocessors interconnected via a data interconnect. A graphics multiprocessor includes circuitry...

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Main Authors Chen, Xiaoming, Schluessler, Travis T, Gottschlich, Justin E, Ould-Ahmed-Vall, Elmoustapha, Yao, Anbang, Satish, Nadathur Rajagopalan, Kennedy, Jonathan, Ranganathan, Vasanth, Surti, Prasoonkumar, Nurvitadhi, Eriko, Appu, Abhishek R, Akhbari, Farshad, Baghsorkhi, Sara S, Weast, John C, Koker, Altug, Nealis, Kevin, Shah, Ankur N, Jahagirdar, Sanjeev, Sinha, Kamal, Ray, Joydeep, Ma, Liwei, Vembu, Balaji, Bottleson, Jeremy, Sakthivel, Chandrasekaran
Format Patent
LanguageEnglish
Published 19.10.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:Described herein is a graphics processor comprising a memory device and a graphics processing cluster coupled with the memory device. The graphics processing cluster includes a plurality of graphics multiprocessors interconnected via a data interconnect. A graphics multiprocessor includes circuitry configured to load a modular neural network including a plurality of subnetworks, each of the plurality of subnetworks trained to perform a computer vision operation on a separate subject.
Bibliography:Application Number: US202318314450