- 专利标题: OPTIMIZED COMPUTE HARDWARE FOR MACHINE LEARNING OPERATIONS
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申请号: EP18170154.1申请日: 2018-04-30
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公开(公告)号: EP3407183A3公开(公告)日: 2019-02-13
- 发明人: DAS, Dipankar , GRAMUNT, Roger , SMELYANSKIY, Mikhail , CORBAL, Jesus , MUDIGERE, Dheevatsa , MELLEMPUDI, Naveen K. , HEINECKE, Alexander F.
- 申请人: INTEL Corporation
- 申请人地址: 2200 Mission College Blvd. Santa Clara, CA 95054 US
- 专利权人: INTEL Corporation
- 当前专利权人: INTEL Corporation
- 当前专利权人地址: 2200 Mission College Blvd. Santa Clara, CA 95054 US
- 代理机构: Goddar, Heinz J.
- 优先权: IN201741015868 20170505; US201815869564 20180112
- 主分类号: G06F9/30
- IPC分类号: G06F9/30
摘要:
One embodiment provides for a compute apparatus to perform machine learning operations, the compute apparatus comprising a fetch unit to fetch a single instruction having multiple input operands, wherein the multiple input operands have an unequal bit-length, a first input operand having a first bit-length and a second input operand having a second bit-length; a decode unit to decode the single instruction into a decoded instruction; an operand length unit to determine a smaller bit-length of the first bit-length and the second bit-length; and a compute unit to perform a matrix operation on the multiple input operands to generate an output value having a bit length of the smaller bit length.
公开/授权文献
- EP3407183B1 OPTIMIZED COMPUTE HARDWARE FOR MACHINE LEARNING OPERATIONS 公开/授权日:2022-03-09
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