Alexey L. Lastovetsky, D. Arapov, A. Kalinov, Ilya Ledovskih
{"title":"A parallel language and its programming system for heterogeneous networks","authors":"Alexey L. Lastovetsky, D. Arapov, A. Kalinov, Ilya Ledovskih","doi":"10.1002/1096-9128(200011)12:13%3C1317::AID-CPE536%3E3.0.CO;2-K","DOIUrl":null,"url":null,"abstract":"The paper presents a new parallel language, mpC, designed specially for programming high-performance computations on heterogeneous networks of computers, as well as its supportive programming environment. The main idea underlying mpC is that an mpC application explicitly defines an abstract network and distributes data, computations and communications over the network. The mpC programming environment uses at run time this information as well as information about any real executing network in order to map the application to the real network in such a way that ensures efficient execution of the application on this real network. Experience of using mpC for solving both regular and irregular real-life problems on networks of heterogeneous computers is also presented.","PeriodicalId":199059,"journal":{"name":"Concurr. Pract. Exp.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Concurr. Pract. Exp.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/1096-9128(200011)12:13%3C1317::AID-CPE536%3E3.0.CO;2-K","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
The paper presents a new parallel language, mpC, designed specially for programming high-performance computations on heterogeneous networks of computers, as well as its supportive programming environment. The main idea underlying mpC is that an mpC application explicitly defines an abstract network and distributes data, computations and communications over the network. The mpC programming environment uses at run time this information as well as information about any real executing network in order to map the application to the real network in such a way that ensures efficient execution of the application on this real network. Experience of using mpC for solving both regular and irregular real-life problems on networks of heterogeneous computers is also presented.
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