ACCELERATION SYSTEM AND METHOD BASED ON CONVOLUTIONAL NEURAL NETWORK, AND STORAGE MEDIUM

WIPO Patent Application WO/2021/259098

A1

Embodiments of the present application disclose an acceleration system and method based on a convolutional neural network, and a storage medium. The acceleration system comprises: a direct memory accessor, configured to store a computational graph, the computational graph comprising N layers of computing nodes; a data stream lake buffer region, comprising a first data stream lake buffer and a second data stream lake buffer, the first data stream lake buffer being configured to cache the computational graph; an arithmetic unit, configured to obtain the i-th layer of computing nodes of the computational graph from the first data stream lake buffer for computation to obtain the (i+1)-th layer of computing nodes; and a first fan-out device, configured to replicate the (i+1)-th layer of computing nodes and store same in the direct memory accessor and the second data stream lake buffer, separately, the arithmetic unit extracting the (i+1)-th layer of computing nodes from the second data stream lake buffer for computation to obtain the (i+2)-th layer of computing nodes, the above steps being repeated until the N-th layer of computing nodes is obtained, wherein 1≤i≤n-3, n≥4, i is a positive integer, and n is a positive integer.

ZENG CHENGLONG (CN)
LI YUANCHAO (CN)
TSOI KUEN HUNG (CN)
NIU XINYU (CN)

PCT/CN2021/100236

December 30, 2021

June 16, 2021

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SHENZHEN CORERAIN TECH CO LTD (CN)

G06F13/28

CN111752879A	2020-10-09
CN111160545A	2020-05-15
CN109542513A	2019-03-29
CN109284817A	2019-01-29
US20200167098A1	2020-05-28

BEYOND ATTORNEYS AT LAW (CN)

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