{"title":"对并行编程的实际支持","authors":"D. C. DiNucci, R. Babb","doi":"10.1109/HICSS.1988.11796","DOIUrl":null,"url":null,"abstract":"An approach is considered in which programs written within a higher-level parallel model are automatically transformed for execution on a particular (parallel) processor. It is based on an improved version of large-grain data-flow (LGDF) techniques. The model is described, along with a scheduler implementation strategy for shared-memory multiprocessors. Performance measurements of a specific implementation for the Sequent Balance 21000 are given. It is argued that the approach can provide the benefits of user-visible parallelism while avoiding the pitfalls inherent in hand-coding of parallel scheduling schemes.<<ETX>>","PeriodicalId":148246,"journal":{"name":"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume II: Software track","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Practical support for parallel programming\",\"authors\":\"D. C. DiNucci, R. Babb\",\"doi\":\"10.1109/HICSS.1988.11796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An approach is considered in which programs written within a higher-level parallel model are automatically transformed for execution on a particular (parallel) processor. It is based on an improved version of large-grain data-flow (LGDF) techniques. The model is described, along with a scheduler implementation strategy for shared-memory multiprocessors. Performance measurements of a specific implementation for the Sequent Balance 21000 are given. It is argued that the approach can provide the benefits of user-visible parallelism while avoiding the pitfalls inherent in hand-coding of parallel scheduling schemes.<<ETX>>\",\"PeriodicalId\":148246,\"journal\":{\"name\":\"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume II: Software track\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume II: Software track\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HICSS.1988.11796\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume II: Software track","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HICSS.1988.11796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An approach is considered in which programs written within a higher-level parallel model are automatically transformed for execution on a particular (parallel) processor. It is based on an improved version of large-grain data-flow (LGDF) techniques. The model is described, along with a scheduler implementation strategy for shared-memory multiprocessors. Performance measurements of a specific implementation for the Sequent Balance 21000 are given. It is argued that the approach can provide the benefits of user-visible parallelism while avoiding the pitfalls inherent in hand-coding of parallel scheduling schemes.<>