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PRF: a process-RAM-feedback performance model to reveal bottlenecks and propose optimizations

Xie Zhen Tan Guangming Liu Weifeng Sun Ninghui

高技术通讯（英文版）2020，Vol.26Issue(3)：285-298,14.

高技术通讯（英文版）2020，Vol.26Issue(3)：285-298,14.DOI:10.3772/j.issn.1006-6748.2020.03.007

PRF: a process-RAM-feedback performance model to reveal bottlenecks and propose optimizations

Xie Zhen ¹Tan Guangming ²Liu Weifeng ¹Sun Ninghui³

作者信息

1. Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P.R.China
2. University of Chinese Academy of Sciences, Beijing 100190, P.R.China
3. College of Information Science and Engineering, China University of Petroleum, Beijing 102249, P.R.China
折叠

摘要

关键词

performance model/feedback optimization/convolution/sparse matrix-vector multiplication/sn-sweep

Key words

performance model/feedback optimization/convolution/sparse matrix-vector multiplication/sn-sweep

引用本文复制引用

Xie Zhen,Tan Guangming,Liu Weifeng,Sun Ninghui..PRF: a process-RAM-feedback performance model to reveal bottlenecks and propose optimizations[J].高技术通讯（英文版）,2020,26(3):285-298,14.

基金项目

Supported by the National Key Research and Development Program of China(No.2017YFB0202105,2016YFB0201305,2016YFB0200803,2016YFB0200300)and the National Natural Science Foundation of China(No.61521092,91430218,31327901,61472395,61432018). （No.2017YFB0202105,2016YFB0201305,2016YFB0200803,2016YFB0200300）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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