- 专利标题: Systems and methods for memory efficient parallel tensor decompositions
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申请号: US17205741申请日: 2021-03-18
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公开(公告)号: US11755684B1公开(公告)日: 2023-09-12
- 发明人: Muthu Manikandan Baskaran
- 申请人: Reservoir Labs, Inc.
- 申请人地址: US NY New York
- 专利权人: Reservoir Labs, Inc.
- 当前专利权人: Reservoir Labs, Inc.
- 当前专利权人地址: US NY New York
- 代理机构: Seyfarth Shaw LLP
- 主分类号: G06F17/16
- IPC分类号: G06F17/16 ; G06F16/174
摘要:
In a system for improving performance of tensor-based computations and for minimizing the associated memory usage, computations associated with different non-zero tensor values are performed while exploiting an overlap between the respective index tuples of those non-zero values. While performing computations associated with a selected mode, when an index corresponding to a particular mode in a current index tuple is the same as the corresponding index from another, previously processed index tuple, the value already stored in a buffer corresponding to that particular mode is reused either wholly or in part, minimizing the processor usage and improving performance. Certain matrix operations may be iterated more than once so as to avoid the need to store a large partial result obtained from those operations. The performance overhead of the repeated operations is not significant, but the reduction in memory usage is.
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