发明公开
- 专利标题: SELECTIVE AND FLEXIBLE COMPRESSION OF DATA ASSOCIATED WITH A MACHINE LEARNING MODEL
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申请号: US18301816申请日: 2023-04-17
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公开(公告)号: US20240348263A1公开(公告)日: 2024-10-17
- 发明人: Kaushal Gandhi , Olivia Wu , Soheil Gharahi , Thomas Mark Ulrich , Abdulkadir Utku Diril , Khasim S. Dudekula , Eda Sahin
- 申请人: Meta Platforms, Inc.
- 申请人地址: US CA Menlo Park
- 专利权人: Meta Platforms, Inc.
- 当前专利权人: Meta Platforms, Inc.
- 当前专利权人地址: US CA Menlo Park
- 主分类号: H03M7/42
- IPC分类号: H03M7/42
摘要:
Systems, apparatuses and methods provide technology that compresses first data based on a first compression scheme to generate second data, where the first data is associated with a first machine learning model. The technology stores the second data into a memory, adjusts a first entry of a lookup table to correspond to the first compression scheme based on the first data being compressed based on the first compression scheme, provide the second data from the memory to processing elements of a processing array during execution of the first machine learning model, and decompresses, at the processing array, the second data based on the lookup table to obtain the first data.
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