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Title:
METHOD AND SYSTEM FOR ACCELERATING EQUILIBRIUM COMPUTATION ON SPARSE RECURRENT NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2022/082836
Kind Code:
A1
Abstract:
Provided are a method and system for accelerating an equilibrium computation on a sparse recurrent neural network: determining scheduling information according to an arbitration result of the sparsity of a weight matrix; selecting a computation sub-module whose operating voltage and operating frequency match the scheduling information, or a computation sub-module whose operating voltage and operating frequency are adjusted to match the scheduling information; using the selected computation sub-module to perform zero-hop and multiplication and addition operations in sequence, achieving equilibrium computation acceleration. The equilibrium computation acceleration system comprises a data transfer module, an equilibrium computation scheduling module having a plurality of independent computation sub-modules, and a voltage-adjustable equilibrium computation module. An error monitor is configured to perform dynamic voltage adjustment; The data transfer module rapidly exchanges read/write memory configurations, reducing additional data transmission; while increasing computing speed, power consumption is reduced by means of equilibrium scheduling, and voltage fluctuations during calculation are reduced.

Inventors:
WANG ZHEN (CN)
Application Number:
PCT/CN2020/124656
Publication Date:
April 28, 2022
Filing Date:
October 29, 2020
Export Citation:
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Assignee:
NANJING PROCHIP ELECTRONIC TECH CO LTD (CN)
International Classes:
G06F17/16; G06F9/50; G06N3/10
Foreign References:
CN111523653A2020-08-11
CN110069444A2019-07-30
CN111026700A2020-04-17
US20200225996A12020-07-16
US20180189234A12018-07-05
Other References:
LIU QINRANG, LIU CHONGYANG: "Calculation Optimization for Convolutional Neural Networks and FPGA-based Accelerator Design Using the Parameters Sparsity", JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, ZHONGGUO KEXUEYUAN DIANZIXUE YANJIUSUO,CHINESE ACADEMY OF SCIENCES, INSTITUTE OF ELECTRONICS, CN, vol. 40, no. 6, 30 June 2018 (2018-06-30), CN , pages 1368 - 1374, XP055923184, ISSN: 1009-5896, DOI: 10.11999/JEIT170819
Attorney, Agent or Firm:
NANJING IPZHI INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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