{"title":"并行计算框架的性能分析与比较:Sips和Openmp","authors":"Likhilpreet Kaur, Anil Kumar","doi":"10.1109/ICCS45141.2019.9065343","DOIUrl":null,"url":null,"abstract":"Parallel execution of jobs progresses towards becoming need of great importance as holding up time required to be decreased. To this perspective a few stages have been worked upon by the specialists. Jobs started by the clients are sequential in nature yet execution of jobs required parallel stage for better execution regarding complete time and holding up time. This paper proposed the execution correlation of two of the most recent stages utilized for parallel employment execution. First stage considered for assessment is SIPS and second stage is OpenMP. Sequential calculation in parallel framework (SIPS) stage decreases the system overhead and its execution should be possible both in Windows as well as UNIX condition. The proposed work is completed in Windows condition, Matrix and Pie calculation parallel jobs are displayed. In the second case OpenMP stage is utilized to execute Matrix and dart programs. The parameters considered for assessment incorporates organize overhead, execution time and scheduling overhead. Correlation result recommends SIPS/OpenMP performs essentially better as far as recorded parameters.","PeriodicalId":433980,"journal":{"name":"2019 International Conference on Intelligent Computing and Control Systems (ICCS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance Analysis and Comparison of Parallel Computing Frameworks: Sips and Openmp\",\"authors\":\"Likhilpreet Kaur, Anil Kumar\",\"doi\":\"10.1109/ICCS45141.2019.9065343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Parallel execution of jobs progresses towards becoming need of great importance as holding up time required to be decreased. To this perspective a few stages have been worked upon by the specialists. Jobs started by the clients are sequential in nature yet execution of jobs required parallel stage for better execution regarding complete time and holding up time. This paper proposed the execution correlation of two of the most recent stages utilized for parallel employment execution. First stage considered for assessment is SIPS and second stage is OpenMP. Sequential calculation in parallel framework (SIPS) stage decreases the system overhead and its execution should be possible both in Windows as well as UNIX condition. The proposed work is completed in Windows condition, Matrix and Pie calculation parallel jobs are displayed. In the second case OpenMP stage is utilized to execute Matrix and dart programs. The parameters considered for assessment incorporates organize overhead, execution time and scheduling overhead. Correlation result recommends SIPS/OpenMP performs essentially better as far as recorded parameters.\",\"PeriodicalId\":433980,\"journal\":{\"name\":\"2019 International Conference on Intelligent Computing and Control Systems (ICCS)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Intelligent Computing and Control Systems (ICCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCS45141.2019.9065343\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Intelligent Computing and Control Systems (ICCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCS45141.2019.9065343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance Analysis and Comparison of Parallel Computing Frameworks: Sips and Openmp
Parallel execution of jobs progresses towards becoming need of great importance as holding up time required to be decreased. To this perspective a few stages have been worked upon by the specialists. Jobs started by the clients are sequential in nature yet execution of jobs required parallel stage for better execution regarding complete time and holding up time. This paper proposed the execution correlation of two of the most recent stages utilized for parallel employment execution. First stage considered for assessment is SIPS and second stage is OpenMP. Sequential calculation in parallel framework (SIPS) stage decreases the system overhead and its execution should be possible both in Windows as well as UNIX condition. The proposed work is completed in Windows condition, Matrix and Pie calculation parallel jobs are displayed. In the second case OpenMP stage is utilized to execute Matrix and dart programs. The parameters considered for assessment incorporates organize overhead, execution time and scheduling overhead. Correlation result recommends SIPS/OpenMP performs essentially better as far as recorded parameters.