Intel Corporation
Sparse optimizations for a matrix accelerator architecture

Last updated:

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