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IOPS: computational graph optimization based on inter-operators parallel scheduling

XIE Xiaoyan XU Hao ZHU Yun HE Wanqi

高技术通讯（英文版）2023，Vol.29Issue(1)：50-59,10.

高技术通讯（英文版）2023，Vol.29Issue(1)：50-59,10.DOI:10.3772/j.issn.1006-6748.2023.01.006

IOPS: computational graph optimization based on inter-operators parallel scheduling

XIE Xiaoyan ¹XU Hao ¹ZHU Yun ²HE Wanqi¹

作者信息

1. School of Computer,Xi'an University of Posts and Telecommunications,Xi'an 710121,P.R.China
2. School of Electronic Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710121,P.R.China
折叠

摘要

关键词

compile optimization/convolutional neural network(CNN)/inter-operator paral-lelism schedule( IOPS)/operator replacement

Key words

compile optimization/convolutional neural network(CNN)/inter-operator paral-lelism schedule( IOPS)/operator replacement

引用本文复制引用

XIE Xiaoyan,XU Hao,ZHU Yun,HE Wanqi..IOPS: computational graph optimization based on inter-operators parallel scheduling[J].高技术通讯（英文版）,2023,29(1):50-59,10.

基金项目

Supported by the National Key Research and Development Project of China(No.2020AAA0104603),and the National Natural Science Foun-dation of China(No.61834005,61772417),and the Shaanxi Province Key R&D Plan(No.2021GY-029). （No.2020AAA0104603）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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