Intel Corporation
SYSTOLIC ARITHMETIC ON SPARSE DATA

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Abstract:

Embodiments described herein provided for an instruction and associated logic to enable a processing resource including a tensor accelerator to perform optimized computation of sparse submatrix operations. One embodiment provides hardware logic to apply a numerical transform to matrix data to increase the sparsity of the data. Increasing the sparsity may result in a higher compression ratio when the matrix data is compressed.

Status:
Application
Type:

Utility

Filling date:

11 Nov 2020

Issue date:

20 May 2021