- 专利标题: Large model support in deep learning
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申请号: US18048203申请日: 2022-10-20
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公开(公告)号: US11915147B2公开(公告)日: 2024-02-27
- 发明人: Minsik Cho , Ulrich Alfons Finkler , Vladimir Zolotov , David S. Kung
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人地址: US NY Armonk
- 代理机构: Amin, Turocy & Watson, LLP
- 主分类号: G06F15/82
- IPC分类号: G06F15/82 ; G06N3/084 ; G06F13/42 ; G06N3/04
摘要:
Techniques that facilitate model support in deep learning are provided. In one example, a system includes a graphics processing unit and a central processing unit memory. The graphics processing unit processes data to train a deep neural network. The central processing unit memory stores a portion of the data to train the deep neural network. The graphics processing unit provides, during a forward pass process of the deep neural network that traverses through a set of layers for the deep neural network from a first layer of the set of layers to a last layer of the set of layers that provides a set of outputs for the deep neural network, input data for a layer from the set of layers for the deep neural network to the central processing unit memory.
公开/授权文献
- US20230064057A1 LARGE MODEL SUPPORT IN DEEP LEARNING 公开/授权日:2023-03-02
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