The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 30, 2026

Filed:

Jul. 10, 2024
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Ashraf Ayman Michail, Kirkland, WA (US);

Li Zhang, Saratoga, CA (US);

Nitin Naresh Garegrat, San Jose, CA (US);

Thomas Craig Savell, Emeryville, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/80 (2006.01); G06F 9/38 (2018.01); G06F 15/78 (2006.01); G06F 15/82 (2006.01);
U.S. Cl.
CPC ...
G06F 15/80 (2013.01); G06F 9/3869 (2013.01); G06F 15/7889 (2013.01); G06F 15/7892 (2013.01); G06F 15/825 (2013.01); G06F 15/7867 (2013.01); G06F 15/7871 (2013.01);
Abstract

A hardware accelerator is disclosed that can flexibly be configured to support differing data types and differing operation flows. The hardware accelerator includes a plurality of fixed tensor operation logic units, tensor operation pipeline logic configured to receive from the processor a pipeline command including a software-defined tensor operation pipeline definition defining a plurality of tensor operation stages in a tensor operation pipeline and associated predetermined tensor operations to be performed at each of the defined tensor operation stages. The hardware accelerator is further configured to receive tensor data to be computed by the tensor operation pipeline, and implement the tensor operation pipeline to perform the tensor operations in each of the tensor operation stages on the tensor data, to thereby produce a tensor operation pipeline result for the tensor data, and output the tensor operation pipeline result to the processor.


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