- 专利标题: Efficient and scalable storage of sparse tensors
-
申请号: US17033592申请日: 2020-09-25
-
公开(公告)号: US11573945B1公开(公告)日: 2023-02-07
- 发明人: Muthu Manikandan Baskaran , Richard A. Lethin , Benoit J. Meister , Nicolas T. Vasilache
- 申请人: QUALCOMM TECHNOLOGIES, INC.
- 申请人地址: US CA San Diego
- 专利权人: QUALCOMM TECHNOLOGIES, INC.
- 当前专利权人: QUALCOMM TECHNOLOGIES, INC.
- 当前专利权人地址: US CA San Diego
- 代理机构: Seyfarth Shaw LLP
- 主分类号: G06F16/00
- IPC分类号: G06F16/00 ; G06F16/22
摘要:
In a system for storing in memory a tensor that includes at least three modes, elements of the tensor are stored in a mode-based order for improving locality of references when the elements are accessed during an operation on the tensor. To facilitate efficient data reuse in a tensor transform that includes several iterations, on a tensor that includes at least three modes, a system performs a first iteration that includes a first operation on the tensor to obtain a first intermediate result, and the first intermediate result includes a first intermediate-tensor. The first intermediate result is stored in memory, and a second iteration is performed in which a second operation on the first intermediate result accessed from the memory is performed, so as to avoid a third operation, that would be required if the first intermediate result were not accessed from the memory.
信息查询