- 专利标题: Architecture for table-based mathematical operations for inference acceleration in machine learning
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申请号: US17247826申请日: 2020-12-23
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公开(公告)号: US11494676B2公开(公告)日: 2022-11-08
- 发明人: Avinash Sodani , Ulf Hanebutte , Chia-Hsin Chen
- 申请人: Marvell Asia Pte, Ltd.
- 申请人地址: SG Singapore
- 专利权人: Marvell Asia Pte, Ltd.
- 当前专利权人: Marvell Asia Pte, Ltd.
- 当前专利权人地址: SG Singapore
- 主分类号: G06F17/10
- IPC分类号: G06F17/10 ; G06N5/04 ; G06F1/03 ; G06F15/78 ; G06F7/483 ; G06N20/00 ; G06F17/17
摘要:
A processing unit to support inference acceleration for machine learning (ML) comprises an inline post processing unit configured to accept and maintain one or more lookup tables for performing each of one or more non-linear mathematical operations. The inline post processing unit is further configured to accept data from a set of registers maintaining output from a processing block instead of streaming the data from an on-chip memory (OCM), perform the one or more non-linear mathematical operations on elements of the data from the processing block via their corresponding lookup tables, and stream post processing result of the one or more non-linear mathematical operations back to the OCM after the one or more non-linear mathematical operations are complete.
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