- 专利标题: DYNAMIC DISTRIBUTED TRAINING OF MACHINE LEARNING MODELS
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申请号: US18314450申请日: 2023-05-09
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公开(公告)号: US20230334316A1公开(公告)日: 2023-10-19
- 发明人: Altug Koker , Abhishek R. Appu , Kamal Sinha , Joydeep Ray , Balaji Vembu , Elmoustapha Ould-Ahmed-Vall , Sara S. Baghsorkhi , Anbang Yao , Kevin Nealis , Xiaoming Chen , John C. Weast , Justin E. Gottschlich , Prasoonkumar Surti , Chandrasekaran Sakthivel , Farshad Akhbari , Nadathur Rajagopalan Satish , Liwei Ma , Jeremy Bottleson , Eriko Nurvitadhi , Travis T. Schluessler , Ankur N. Shah , Jonathan Kennedy , Vasanth Ranganathan , Sanjeev Jahagirdar
- 申请人: Intel Corporation
- 申请人地址: US CA Santa Clara
- 专利权人: Intel Corporation
- 当前专利权人: Intel Corporation
- 当前专利权人地址: US CA Santa Clara
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N20/00 ; G06N3/063 ; G06N3/044 ; G06N3/045
摘要:
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.
公开/授权文献
- US2569728A Thread feeler device in spinning and twisting machines 公开/授权日:1951-10-02
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