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US Patent 12130885 Emulating fine-grained sparsity in a systolic array

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
121308850
Patent Inventor Names
Vignesh Vivekraja0
Ron Diamant0
Thiam Khean Hah0
Paul Gilbert Meyer0
Randy Renfu Huang0
Date of Patent
October 29, 2024
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Patent Application Number
180525270
Date Filed
November 3, 2022
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Patent Citations
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US Patent 11194549 Matrix multiplication system, apparatus and method
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US Patent 11379556 Apparatus and method for matrix operations
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US Patent 11500962 Emulating fine-grained sparsity in a systolic array
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US Patent 11709783 Tensor data distribution using grid direct-memory access (DMA) controller
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US Patent 11625453 Using shared data bus to support systolic array tiling
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US Patent 11803736 Fine-grained sparsity computations in systolic array
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US Patent 11003985 Convolutional neural network system and operation method thereof
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US Patent 11126690 Machine learning architecture support for block sparsity
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Patent Primary Examiner
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Tan V. Mai
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CPC Code
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G06N 3/04
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G06F 17/16
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Patent abstract

To take advantage of the architecture of a systolic array tailored to perform sparse matrix multiplications, a weight matrix can be converted into a set of constrained fine-grained sparse weight matrices. The conversion process may include receiving a request to perform a matrix multiplication operation with a weight matrix, and determining that the weight matrix satisfies a sparsity condition to convert the weight matrix into a set of constrained fine-grained sparse weight matrices. The weight matrix can then be converted into a set of constrained fine-grained sparse weight matrices. Computer instructions can then be generated for an integrated circuit device to perform the requested matrix multiplication operation as a set of sparse matrix multiplication operations using the set of constrained fine-grained sparse weight matrices.

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