Intel Corporation
Sparse optimizations for a matrix accelerator architecture
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Abstract:
Embodiments described herein include, software, firmware, and hardware logic that provides techniques to perform arithmetic on sparse data via a systolic processing unit. Embodiment described herein provided techniques to skip computational operations for zero filled matrices and sub-matrices. Embodiments additionally provide techniques to maintain data compression through to a processing unit. Embodiments additionally provide an architecture for a sparse aware logic unit.
Status:
Grant
Type:
Utility
Filling date:
6 Oct 2020
Issue date:
7 Sep 2021