{"title":"茅台:基于CMT处理器的面向视图并行编程","authors":"Jiaqi Zhang, Zhiyi Huang, Wenguang Chen, Qihang Huang, Weimin Zheng","doi":"10.1109/ICPP.2008.15","DOIUrl":null,"url":null,"abstract":"View-oriented parallel programming (VOPP) is a novel parallel programming model which uses views for communication between multiple processes. With the introduction of views, mutual exclusion and shared data access are bundled together, which offers both convenience and high performance to parallel programming. This paper presents the implementation of VOPP on chip-multi threading processors, e.g. UltraSPARC T1. We demonstrate that our implementation of VOPP on multi-core platforms (namely Maotai) shows significantly better performance than directly applying the original DSM implementation of VOPP (namely VODCA) on our platform. Besides, we compare the performance of VOPP with MPI and OpenMP. The experimental results demonstrate that VOPP has better scalability than both MPI and OpenMP on our platform.","PeriodicalId":388408,"journal":{"name":"2008 37th International Conference on Parallel Processing","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Maotai: View-Oriented Parallel Programming on CMT Processors\",\"authors\":\"Jiaqi Zhang, Zhiyi Huang, Wenguang Chen, Qihang Huang, Weimin Zheng\",\"doi\":\"10.1109/ICPP.2008.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"View-oriented parallel programming (VOPP) is a novel parallel programming model which uses views for communication between multiple processes. With the introduction of views, mutual exclusion and shared data access are bundled together, which offers both convenience and high performance to parallel programming. This paper presents the implementation of VOPP on chip-multi threading processors, e.g. UltraSPARC T1. We demonstrate that our implementation of VOPP on multi-core platforms (namely Maotai) shows significantly better performance than directly applying the original DSM implementation of VOPP (namely VODCA) on our platform. Besides, we compare the performance of VOPP with MPI and OpenMP. The experimental results demonstrate that VOPP has better scalability than both MPI and OpenMP on our platform.\",\"PeriodicalId\":388408,\"journal\":{\"name\":\"2008 37th International Conference on Parallel Processing\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 37th International Conference on Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPP.2008.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 37th International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2008.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Maotai: View-Oriented Parallel Programming on CMT Processors
View-oriented parallel programming (VOPP) is a novel parallel programming model which uses views for communication between multiple processes. With the introduction of views, mutual exclusion and shared data access are bundled together, which offers both convenience and high performance to parallel programming. This paper presents the implementation of VOPP on chip-multi threading processors, e.g. UltraSPARC T1. We demonstrate that our implementation of VOPP on multi-core platforms (namely Maotai) shows significantly better performance than directly applying the original DSM implementation of VOPP (namely VODCA) on our platform. Besides, we compare the performance of VOPP with MPI and OpenMP. The experimental results demonstrate that VOPP has better scalability than both MPI and OpenMP on our platform.
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