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.
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 & computingMore from OpenAI in Chips & hardware
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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.