- 专利标题: Matrix factorization with approximate computing
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申请号: US16407781申请日: 2019-05-09
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公开(公告)号: US10937122B2公开(公告)日: 2021-03-02
- 发明人: Shiyu Chang , Liana L. Fong , Wei Tan
- 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: G06T1/20
- IPC分类号: G06T1/20 ; G06T1/60 ; G06F17/16
摘要:
Techniques that facilitate matrix factorization associated with graphics processing units are provided. In one example, a computer-implemented method is provided. The computer-implemented method can comprise loading, by a graphics processing unit operatively coupled to a processor, item features from a data matrix into a shared memory. The data matrix can be a matrix based on one or more user features and item features. The computer-implemented method can further comprise tiling and aggregating, by the graphics processing unit, outer products of the data matrix tiles to generate an aggregate value and approximating, by the graphics processing unit, an update to a user feature of the data matrix based on the aggregate value and the loaded item features.
公开/授权文献
- US20190266699A1 MATRIX FACTORIZATION WITH APPROXIMATE COMPUTING 公开/授权日:2019-08-29
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