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Nvidia patents method for chips to organize data for faster memory access

Nvidia describes a technique where a processor analyzes code to figure out how data moves between different parts of a computer. It then automatically creates specific data structures that help a memory accelerator handle those transfers more efficiently.

Why it mattersThis is a low-level optimization that could make high-performance computing chips run slightly faster by reducing the work the main processor has to do when moving data.

In the filing’s own words

Apparatuses, systems, and techniques to identify one or more processing units to generate one or more data structures to use a memory accelerator. In at least one embodiment, a processor comprises processing circuitry to identify one or more processing units to generate one or more data structures to use a memory accelerator based, at least in part, on computer program code indicating one or more data transfers and compile the computer program code to cause the one or more processing units to generate the one or more data structures to use the memory accelerator.

What exactly they claim (claim 1)

1. One or more processors comprising processing circuitry to: identify one or more processing units to generate one or more data structures to use a memory accelerator based, at least in part, on computer program code indicating one or more data transfers; and compile the computer program code to cause the one or more processing units to generate the one or more data structures to use the memory accelerator.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
GENERATING DATA STRUCTURES TO USE MEMORY ACCELERATORS
Publication number
US20260277787A1
Application number
19173150
Filed
Apr 8, 2025
Published
Sep 17, 2026
Inventors
2
Claims
20

Classified under

G06F 12/023 Physics & computing

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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.