- 专利标题: Instructions and logic to perform floating point and integer operations for machine learning
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申请号: US17834482申请日: 2022-06-07
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公开(公告)号: US11720355B2公开(公告)日: 2023-08-08
- 发明人: Himanshu Kaul , Mark A. Anders , Sanu K. Mathew , Anbang Yao , Joydeep Ray , Ping T. Tang , Michael S. Strickland , Xiaoming Chen , Tatiana Shpeisman , Abhishek R. Appu , Altug Koker , Kamal Sinha , Balaji Vembu , Nicolas C. Galoppo Von Borries , Eriko Nurvitadhi , Rajkishore Barik , Tsung-Han Lin , 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
- 代理机构: Jaffery Watson Mendonsa & Hamilton LLP
- 主分类号: G06F9/30
- IPC分类号: G06F9/30 ; G09G5/393 ; G06F9/38 ; G06F7/483 ; G06F7/544 ; G06N3/063 ; G06N3/08 ; G06N3/044 ; G06N3/045 ; G06T15/00 ; G06N20/00 ; G06F17/16
摘要:
One embodiment provides a graphics processor comprising a memory controller and a graphics processing resource coupled with the memory controller. The graphics processing resource includes circuitry configured to execute an instruction to perform a matrix operation on first input including weight data and second input including input activation data, generate intermediate data based on a result of the matrix operation, quantize the intermediate data to a floating-point format determined based on a statistical distribution of first output data, and output, as second output data, quantized intermediate data in a determined floating-point format.
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