Memory storage format for supporting machine learning acceleration

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United States of America

PATENT NO 12165237
APP PUB NO 20240095872A1
SERIAL NO

17946753

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Abstract

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A processor-implemented method for a memory storage format to accelerate machine learning (ML) on a computing device is described. The method includes receiving an image in a first layer storage format of a neural network. The method also includes assigning addresses to image pixels of each of three channels of the first layer storage format for accessing the image pixels in a blocked ML storage acceleration format. The method further includes storing the image pixels in the blocked ML storage acceleration format according to the assigned addresses of the image pixels. The method also includes accelerating inference video processing of the image according to the assigned addresses for the image pixels corresponding to the blocked ML storage acceleration format.

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Patent Owner(s)

Patent OwnerAddress
QUALCOMM INCORPORATED5775 MOREHOUSE DRIVE SAN DIEGO CA 92121-1714

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Berry, Geoffrey Carlton Durham, US 2 0
Pande, Sandeep Bengaluru, IN 3 2
Simpson, Matthew Durham, US 46 644
Vaidhyanathan, Natarajan Carrboro, US 115 2160
Verrilli, Colin Beaton Apex, US 81 1545

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