NEURAL NETWORK INSTRUCTION SET ARCHITECTURE

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United States of America Patent

SERIAL NO

15336216

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Abstract

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A computer-implemented method that includes receiving, by a processing unit, an instruction that specifies data values for performing a tensor computation. In response to receiving the instruction, the method may include, performing, by the processing unit, the tensor computation by executing a loop nest comprising a plurality of loops, wherein a structure of the loop nest is defined based on one or more of the data values of the instruction. The tensor computation can be at least a portion of a computation of a neural network layer. The data values specified by the instruction may comprise a value that specifies a type of the neural network layer, and the structure of the loop nest can be defined at least in part by the type of the neural network layer.

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Patent Owner(s)

Patent OwnerAddress
GOOGLE LLC1600 AMPHITHEATRE PARKWAY MOUNTAIN VIEW CA 94043

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Khaitan, Harshit San Jose, US 30 331
Narayanaswami, Ravi San Jose, US 51 487
Temam, Olivier Antony, FR 44 414
Woo, Dong Hyuk San Jose, US 62 649

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