A New Parallel Scheduling Algorithm Based on MPI

Xiaoyong Wang, Feng Li, Jun Ma, Lei Xin, Xue Yang, Xing Chang, Haoyang Chang
{"title":"A New Parallel Scheduling Algorithm Based on MPI","authors":"Xiaoyong Wang, Feng Li, Jun Ma, Lei Xin, Xue Yang, Xing Chang, Haoyang Chang","doi":"10.1109/ICCWAMTIP.2018.8632603","DOIUrl":null,"url":null,"abstract":"GPU is widely used in many fields with the development of machine vision, but after much research that parallel algorithm in traditional is inefficient to paralleling task directly. MPI (Message Passing Interface)is used in this paper to improve computational performance, and a new task scheduling algorithm WFM (Working Forever with MPI)is proposed to improve the computational performance by reducing the idle time of each group of CPU's task and GPU's task. Our experimental results show that the same SR task can be speed up by two times with the performance of WFM on the same Jetson TX2.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCWAMTIP.2018.8632603","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

GPU is widely used in many fields with the development of machine vision, but after much research that parallel algorithm in traditional is inefficient to paralleling task directly. MPI (Message Passing Interface)is used in this paper to improve computational performance, and a new task scheduling algorithm WFM (Working Forever with MPI)is proposed to improve the computational performance by reducing the idle time of each group of CPU's task and GPU's task. Our experimental results show that the same SR task can be speed up by two times with the performance of WFM on the same Jetson TX2.
一种基于MPI的并行调度算法
随着机器视觉的发展,GPU在许多领域得到了广泛的应用,但经过大量的研究,传统的并行算法对直接并行任务效率低下。本文采用消息传递接口(MPI)来提高计算性能,并提出了一种新的任务调度算法WFM (Working Forever with MPI),通过减少CPU任务组和GPU任务组的空闲时间来提高计算性能。实验结果表明,在相同的Jetson TX2上,WFM的性能可以将相同的SR任务速度提高两倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信