Neural network processing system having host controlled kernel acclerators

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United States of America Patent

PATENT NO 11568218
APP PUB NO 20190114535A1
SERIAL NO

15786288

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Abstract

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A disclosed neural network processing system includes a host computer system, a RAMs coupled to the host computer system, and neural network accelerators coupled to the RAMs, respectively. The host computer system is configured with software that when executed causes the host computer system to write input data and work requests to the RAMS. Each work request specifies a subset of neural network operations to perform and memory locations in a RAM of the input data and parameters. A graph of dependencies among neural network operations is built and additional dependencies added. The operations are partitioned into coarse grain tasks and fine grain subtasks for optimal scheduling for parallel execution. The subtasks are scheduled to accelerator kernels of matching capabilities. Each neural network accelerator is configured to read a work request from the respective RAM and perform the subset of neural network operations on the input data using the parameters.

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Patent Owner(s)

Patent OwnerAddress
XILINX INC2100 LOGIC DRIVE SAN JOSE CALIFORNIA 95124

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Delaye, Elliott San Jose, US 37 666
Ng, Aaron San Jose, US 26 366
Sirasao, Ashish San Jose, US 41 452
Teng, Xiao Cupertino, US 13 159
Zejda, Jindrich Saratoga, US 35 372

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