Method, product, and apparatus for a multidimensional processing array for hardware acceleration of convolutional neural network inference

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United States of America Patent

PATENT NO 11687831
SERIAL NO

16946674

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An approach includes receiving a machine learning processing job, executing the machine learning processing job using parallel processing of multiple output pixels each cycle by walking data across processing elements with broadcast weights within regions and executing parallel multiplication operations, and generating an output indicating whether the machine learning processing job was successful or failed. In some embodiments, a schedule of actions is generated for respective machine learning processing jobs. The schedule of actions may include any of a plurality of shift operations in a many to many arrangement or a one to many arrangement, shifting data across region boundaries, fetching data and weights from a memory and distribution thereof to a plurality of regions (e.g., weights are distributed to respective weight memories which subsequently broadcasts those weights in a specified order based on a schedule of actions, and where data is distributed to respective processing elements).

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CADENCE DESIGN SYSTEMS INC2655 SEELY AVENUE SAN JOSE CA 95134

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Goswami, Dhiraj Wilsonville, US 24 234
Hung, Ngai Ngai William San Jose, US 15 83
Liu, Yong Cupertino, US 1235 24302
Zimmer, Michael Patrick Chicago, US 3 0

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