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OpenAIPatent applicationChips & hardwareInterest 6/10

OpenAI patents chip design that flips math operations without moving data

This filing describes a hardware system where memory stores mathematical weights and nearby logic performs calculations. It uses switching circuits to change how data is grouped, allowing the same hardware to run a standard calculation or its flipped version without physically moving the stored data.

Why it mattersIt offers a specific way to make computer chips more efficient by reducing the need to move data around during complex math tasks.

In the filing’s own words

A system including a memory and hardware compute logic is described. The memory includes memory cells storing weights corresponding to a matrix. Hardware compute logic is coupled with the memory cells. The hardware compute logic is configured to perform a vector-matrix multiplication (VMM) for the matrix and for a matrix transpose for the weights being stationary for the memory cells.

What exactly they claim (claim 1)

1. A system, comprising: a memory storing a plurality of weights corresponding to a matrix; and compute logic coupled to the memory and configured to selectively perform a first vector-matrix multiplication (VMM) using the matrix and a second VMM using a transpose of the matrix, wherein the compute logic comprises: multiplication circuitry coupled to the memory, the multiplication circuitry configured to output results corresponding to multiplications of at least a portion of the plurality of weights and at least a portion of input vectors; a plurality of adder trees configured to accumulate the results; and selection logic comprising a plurality of input multiplexers configured to route elements of the input vector to the multiplication circuitry, wherein the selection logic is configured to: select a first portion of the plurality of adder trees and provide the results to the first portion in response to the compute logic performing the first VMM; and select a second portion of the plurality of adder trees and provide the results to the second portion in response to the compute logic performing the second VMM.

Facts

Company
OpenAI (OpenAI Opco, LLC)
Official title
SYSTEM AND METHOD OF TRANSPOSED MATRIX-VECTOR MULTIPLICATION
Publication number
US20260278038A1
Application number
19670447
Filed
May 7, 2026
Published
Sep 17, 2026
Inventors
2
Claims
20

Classified under

G06F 17/16 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.