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.