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US Patent 10482155 Winograd algorithm on a matrix processing architecture

Patent 10482155 was granted and assigned to Intel on November, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Intel
Intel
Current Assignee
Intel
Intel
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10482155
Date of Patent
November 19, 2019
Patent Application Number
15395542
Date Filed
December 30, 2016
Patent Citations Received
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US Patent 11520562 System to perform unary functions using range-specific coefficient sets
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US Patent 11880759 Vector quantization decoding hardware unit for real-time dynamic decompression for parameters of neural networks
0
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US Patent 12073308 Hardware accelerator engine
0
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US Patent 12118451 Deep convolutional network heterogeneous architecture
0
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US Patent 11531873 Convolution acceleration with embedded vector decompression
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US Patent 11562115 Configurable accelerator framework including a stream switch having a plurality of unidirectional stream links
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US Patent 11593609 Vector quantization decoding hardware unit for real-time dynamic decompression for parameters of neural networks
‌
US Patent 11675943 Tool to create a reconfigurable interconnect framework
0
...
Patent Primary Examiner
‌
David H. Malzahn
Patent abstract

In one embodiment, a matrix operation may be performed, wherein the matrix operation comprises a matrix multiplication operation on a plurality of matrix operands. Matrix data may be received from a multi-dimensional memory, wherein the matrix data is associated with the plurality of matrix operands. The plurality of matrix operands may be extracted from the matrix data, wherein the plurality of matrix operands comprises a first matrix operand and a second matrix operand. A first transform may be performed on the first matrix operand to obtain a transformed matrix operand, wherein performing matrix multiplication using the transformed matrix operand is faster than performing matrix multiplication using the first matrix operand. Matrix multiplication may be performed on the transformed matrix operand to obtain a partial result. A second transform may be performed on the partial result to obtain a result of the matrix multiplication operation.

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