{"title":"基于OpenMP接口的多核平台稀疏三角形系统的细粒度并行求解","authors":"Sirine Marrakchi, M. Jemni","doi":"10.1109/HPCS.2017.102","DOIUrl":null,"url":null,"abstract":"This paper describes and analyses a novel method to improve the parallel performance for solving sparse triangular systems (spTRSV). The main objective of this study consists in reducing the total idle time of processors as well as the execution time. Also, the developed solution is suitable for sparse and band structures. To evaluate and validate our contribution, a series of experiments have been carried out on a multicore platform using OpenMP interface. Practical results show the efficiency of the proposed technique compared to the previous studies.","PeriodicalId":115758,"journal":{"name":"2017 International Conference on High Performance Computing & Simulation (HPCS)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Fine-Grained Parallel Solution for Solving Sparse Triangular Systems on Multicore Platform Using OpenMP Interface\",\"authors\":\"Sirine Marrakchi, M. Jemni\",\"doi\":\"10.1109/HPCS.2017.102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes and analyses a novel method to improve the parallel performance for solving sparse triangular systems (spTRSV). The main objective of this study consists in reducing the total idle time of processors as well as the execution time. Also, the developed solution is suitable for sparse and band structures. To evaluate and validate our contribution, a series of experiments have been carried out on a multicore platform using OpenMP interface. Practical results show the efficiency of the proposed technique compared to the previous studies.\",\"PeriodicalId\":115758,\"journal\":{\"name\":\"2017 International Conference on High Performance Computing & Simulation (HPCS)\",\"volume\":\"151 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on High Performance Computing & Simulation (HPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCS.2017.102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCS.2017.102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fine-Grained Parallel Solution for Solving Sparse Triangular Systems on Multicore Platform Using OpenMP Interface
This paper describes and analyses a novel method to improve the parallel performance for solving sparse triangular systems (spTRSV). The main objective of this study consists in reducing the total idle time of processors as well as the execution time. Also, the developed solution is suitable for sparse and band structures. To evaluate and validate our contribution, a series of experiments have been carried out on a multicore platform using OpenMP interface. Practical results show the efficiency of the proposed technique compared to the previous studies.