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Microsoft patents method to speed up math on chips

Microsoft has filed a patent application for a method that improves how computers handle large sets of data called tensors. The system breaks the data into smaller blocks and uses pre-prepared instructions to process them efficiently on different types of hardware.

Why it mattersThis could make software run faster on various computer chips by handling data more efficiently.

In the filing’s own words

A scheme of optimizing an operation on tensors for a processing device is provided. In this scheme, based on a size of a target tensor, a target window size is determined for a target operation associated with the target tensor to be processed on a processing device. At least one data block is determined based on the target window size and the target tensor. A set of elements included in the at least one data block cover at least the target tensor. For each data block, at least one predetermined task corresponding to the target operation and target window size are performed based on a position of each element of the data block in the target tensor. These predetermined tasks are precompiled to achieve the target operation. In this way, for various types of processing devices, a universal and efficient scheme may be implemented for tensors with different sizes.

What exactly they claim (claim 1)

1.- 15. (canceled)

Facts

Company
Microsoft (Microsoft Technology Licensing, LLC)
Official title
OPTIMIZING AN OPERATION ON TENSORS WITH RESPECT TO A PROCESSING DEVICE
Publication number
US20260288531A1
Application number
19475830
Filed
Jun 10, 2024
Published
Sep 24, 2026
Inventors
2
Claims
21

Classified under

G06F 9/5055 Physics & computingG06F 9/44505 Physics & computing
Read the full filing (official PDF) ↗ Open in the Patent Tracker

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.