P. Hatcher, M. J. Quinn, A. Lapadula, R. Anderson, R. R. Jones
{"title":"Dataparallel C: A SIMD Programming Language for Multicomputers","authors":"P. Hatcher, M. J. Quinn, A. Lapadula, R. Anderson, R. R. Jones","doi":"10.1109/DMCC.1991.633095","DOIUrl":null,"url":null,"abstract":"Dataparallel C is a SIMD extensiotii to the standard C programming language, It is derived from the original C* language developed by Thinking Machine,r Corporation, We have completed a third-generation Dataparalle1 C compiler, which produces SPMD-style C code suitable for execution on Intel and nCUBE multicomputers. In this paper we discuss the characteristics and strengths of data-parallel programming languages, summarize the syntax and semantics of Dataparallel C', and document the perjbrmance of six benchmark programs executing on the nCUBE 3200 multicomputer. Our work demonstrates that SIMD programs can achieve reasonable speedup when compiled and executed on multicomputers.","PeriodicalId":313314,"journal":{"name":"The Sixth Distributed Memory Computing Conference, 1991. Proceedings","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Sixth Distributed Memory Computing Conference, 1991. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMCC.1991.633095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Dataparallel C is a SIMD extensiotii to the standard C programming language, It is derived from the original C* language developed by Thinking Machine,r Corporation, We have completed a third-generation Dataparalle1 C compiler, which produces SPMD-style C code suitable for execution on Intel and nCUBE multicomputers. In this paper we discuss the characteristics and strengths of data-parallel programming languages, summarize the syntax and semantics of Dataparallel C', and document the perjbrmance of six benchmark programs executing on the nCUBE 3200 multicomputer. Our work demonstrates that SIMD programs can achieve reasonable speedup when compiled and executed on multicomputers.