{"title":"使用OpenThreads进行与平台无关的运行时优化","authors":"M. Haines, K. Langendoen","doi":"10.1109/IPPS.1997.580941","DOIUrl":null,"url":null,"abstract":"Although platform-independent runtime systems for parallel programming languages are desirable, the need for low-level optimizations usually precludes their existence. This is because most optimizations involve some combination of low-level communication and low-level threading the product of which is almost always platform-dependent. We propose a solution to the threading half of this dilemma by using a thread package, that allows fine-grain control over the behaviour of the threads while still providing performance comparable to hand-tuned, machine-dependent thread packages. This makes it possible to construct platform-independent thread modules for parallel runtime systems and, more importantly, to optimize them.","PeriodicalId":145892,"journal":{"name":"Proceedings 11th International Parallel Processing Symposium","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Platform-independent runtime optimizations using OpenThreads\",\"authors\":\"M. Haines, K. Langendoen\",\"doi\":\"10.1109/IPPS.1997.580941\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although platform-independent runtime systems for parallel programming languages are desirable, the need for low-level optimizations usually precludes their existence. This is because most optimizations involve some combination of low-level communication and low-level threading the product of which is almost always platform-dependent. We propose a solution to the threading half of this dilemma by using a thread package, that allows fine-grain control over the behaviour of the threads while still providing performance comparable to hand-tuned, machine-dependent thread packages. This makes it possible to construct platform-independent thread modules for parallel runtime systems and, more importantly, to optimize them.\",\"PeriodicalId\":145892,\"journal\":{\"name\":\"Proceedings 11th International Parallel Processing Symposium\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 11th International Parallel Processing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPPS.1997.580941\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 11th International Parallel Processing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPPS.1997.580941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Platform-independent runtime optimizations using OpenThreads
Although platform-independent runtime systems for parallel programming languages are desirable, the need for low-level optimizations usually precludes their existence. This is because most optimizations involve some combination of low-level communication and low-level threading the product of which is almost always platform-dependent. We propose a solution to the threading half of this dilemma by using a thread package, that allows fine-grain control over the behaviour of the threads while still providing performance comparable to hand-tuned, machine-dependent thread packages. This makes it possible to construct platform-independent thread modules for parallel runtime systems and, more importantly, to optimize them.