- 专利标题: Massively parallel neural inference computing elements
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申请号: US16808900申请日: 2020-03-04
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公开(公告)号: US11010662B2公开(公告)日: 2021-05-18
- 发明人: Rathinakumar Appuswamy , John V. Arthur , Andrew S. Cassidy , Pallab Datta , Steven K. Esser , Myron D. Flickner , Jennifer Klamo , Dharmendra S. Modha , Hartmut Penner , Jun Sawada , Brian Taba
- 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: Foley Hoag LLP
- 代理商 Erik Huestis; Stephen Kenny
- 主分类号: G06N3/063
- IPC分类号: G06N3/063 ; G06F17/16 ; G06F7/53 ; G06F7/505 ; G06F5/01 ; H03M7/30
摘要:
Massively parallel neural inference computing elements are provided. A plurality of multipliers is arranged in a plurality of equal-sized groups. Each of the plurality of multipliers is adapted to, in parallel, apply a weight to an input activation to generate an output. A plurality of adders is operatively coupled to one of the groups of multipliers. Each of the plurality of adders is adapted to, in parallel, add the outputs of the multipliers within its associated group to generate a partial sum. A plurality of function blocks is operatively coupled to one of the plurality of adders. Each of the plurality of function blocks is adapted to, in parallel, apply a function to the partial sum of its associated adder to generate an output value.
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