{"title":"BaLinda: a simple parallel programming model","authors":"C. Yuen, M. Feng","doi":"10.1109/MPPM.1997.715957","DOIUrl":null,"url":null,"abstract":"This paper argues for the development of more general and user-friendly parallel programming models, independent of hardware structures and concurrency concepts of operating systems theory, leading to portable programs and easy to use languages. It then presents the BaLinda model, based on last in/first out threads that interact via a shared tuplespace, and argues that it is simple enough to be both general and easy to use. It also discusses the idea of using function-based objects as the basic unit of parallel execution and the hierarchical structure to partition tuplespaces.","PeriodicalId":217385,"journal":{"name":"Proceedings. Third Working Conference on Massively Parallel Programming Models (Cat. No.97TB100228)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Third Working Conference on Massively Parallel Programming Models (Cat. No.97TB100228)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MPPM.1997.715957","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
This paper argues for the development of more general and user-friendly parallel programming models, independent of hardware structures and concurrency concepts of operating systems theory, leading to portable programs and easy to use languages. It then presents the BaLinda model, based on last in/first out threads that interact via a shared tuplespace, and argues that it is simple enough to be both general and easy to use. It also discusses the idea of using function-based objects as the basic unit of parallel execution and the hierarchical structure to partition tuplespaces.