{"title":"A Roadmap for a Type Architecture Based Parallel Programming Language","authors":"Muhammad N. Yanhaona, A. Grimshaw","doi":"10.1145/2723772.2723774","DOIUrl":null,"url":null,"abstract":"Ever since the end of the era of single processor performance improvement, we observe proliferation of multi and many-core architectures in almost all spheres of computing. Tablets, desktop PCs, workstation clusters, and supercomputers are ripe with multi-core CPUs and/or accelerators. Although there are considerable architectural heterogeneity and scale differences present among these machine architectures, there is also significant commonality in their multi-core building blocks. This situation revives the interest for possibility of parallel programming paradigms that are both efficient and portable across environments. We have been investigating such a programming paradigm for over a year and half now. Two key aspects of our work are development of a common machine abstraction for diverse hardware platforms and a clear separation of different concerns embodied in parallel programming. This is our first paper describing the philosophy, abstraction mechanism, programming model, and early results of our ongoing project.","PeriodicalId":350480,"journal":{"name":"Proceedings of the 2015 International Workshop on Code Optimisation for Multi and Many Cores","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2015 International Workshop on Code Optimisation for Multi and Many Cores","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2723772.2723774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Ever since the end of the era of single processor performance improvement, we observe proliferation of multi and many-core architectures in almost all spheres of computing. Tablets, desktop PCs, workstation clusters, and supercomputers are ripe with multi-core CPUs and/or accelerators. Although there are considerable architectural heterogeneity and scale differences present among these machine architectures, there is also significant commonality in their multi-core building blocks. This situation revives the interest for possibility of parallel programming paradigms that are both efficient and portable across environments. We have been investigating such a programming paradigm for over a year and half now. Two key aspects of our work are development of a common machine abstraction for diverse hardware platforms and a clear separation of different concerns embodied in parallel programming. This is our first paper describing the philosophy, abstraction mechanism, programming model, and early results of our ongoing project.