System, method, and recording medium for mirroring matrices for batched cholesky decomposition on a graphic processing unit

US11790035B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11790035-B2
Application numberUS-202117315710-A
CountryUS
Kind codeB2
Filing dateMay 10, 2021
Priority dateJun 30, 2016
Publication dateOct 17, 2023
Grant dateOct 17, 2023

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  1. Title

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  2. Abstract

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

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A batched Cholesky decomposition method, system, and non-transitory computer readable medium for a Graphics Processing Unit (GPU), include mirroring matrices to form paired matrices solving the paired matrices simultaneously.

First claim

Opening claim text (preview).

What is claimed is: 1. A non-transitory computer-readable recording medium recording a batched Cholesky decomposition program for a Graphics Processing Unit (GPU) having a plurality of threads that perform work, the program causing a computer to perform: mirroring matrices; forming paired matrices by combining a mirrored matrix of the mirrored matrices with a non-mirrored matrix; and solving the paired matrices simultaneously by each thread of the plurality of threads of the GPU performing a same amount of work. 2. The non-transitory computer readable recording medium of claim 1 , wherein the mirroring is performed by shifting the mirrored matrix of the mirrored matrices by N+1, where N is an integer. 3. The non-transitory computer readable recording medium of claim 1 , wherein during the solving, each thread of the plurality of threads of the GPU performs an equal amount of work when running batched Cholesky decomposition program. 4. A batched Cholesky decomposition method for a Graphics Processing Unit (GPU) having a plurality of threads that perform work, the method comprising: mirroring matrices; forming paired matrices by combining a mirrored matrix of the mirrored matrices with a non-mirrored matrix; and solving the paired matrices simultaneously by each thread of the plurality of threads of the GPU performing a same amount of work. 5. A batched Cholesky decomposition system on a Graphics Processing Unit (GPU) having a plurality of threads that perform work, said system comprising: a processor; and a memory, the memory storing instructions to cause the processor to: mirroring matrices; forming paired matrices by combining a mirrored matrix of the mirrored matrices with a non-mirrored matrix; and solving the paired matrices simultaneously by each thread of the plurality of threads of the GPU performing a same amount of work.

Assignees

Inventors

Classifications

  • G06F17/16Primary

    Matrix or vector computation {, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization (matrix transposition G06F7/78)} · CPC title

  • having at least two separately controlled shifting levels, e.g. using shifting matrices (G06F5/012 takes precedence) · CPC title

  • Simultaneous equations {, e.g. systems of linear equations} · CPC title

  • Processor architectures; Processor configuration, e.g. pipelining · CPC title

  • Memory management · CPC title

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What does patent US11790035B2 cover?
A batched Cholesky decomposition method, system, and non-transitory computer readable medium for a Graphics Processing Unit (GPU), include mirroring matrices to form paired matrices solving the paired matrices simultaneously.
Who is the assignee on this patent?
IBM
What technology area does this patent fall under?
Primary CPC classification G06F17/16. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Oct 17 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).