{"title":"如何在多核架构上实现可扩展的fork/join ?","authors":"M. D. Wael, T. V. Cutsem","doi":"10.1145/2384716.2384751","DOIUrl":null,"url":null,"abstract":"Fork/Join is a parallel programming model that implicitly assumes uniform memory access. The transition from multi- to many-core architectures will render this assumption invalid, and consequently it is likely that Fork/Join in its current form will not scale. This research investigates implementations for Fork/Join to allow the transition to many-core.","PeriodicalId":194590,"journal":{"name":"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"How to achieve scalable fork/join on many-core architectures?\",\"authors\":\"M. D. Wael, T. V. Cutsem\",\"doi\":\"10.1145/2384716.2384751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fork/Join is a parallel programming model that implicitly assumes uniform memory access. The transition from multi- to many-core architectures will render this assumption invalid, and consequently it is likely that Fork/Join in its current form will not scale. This research investigates implementations for Fork/Join to allow the transition to many-core.\",\"PeriodicalId\":194590,\"journal\":{\"name\":\"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2384716.2384751\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2384716.2384751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How to achieve scalable fork/join on many-core architectures?
Fork/Join is a parallel programming model that implicitly assumes uniform memory access. The transition from multi- to many-core architectures will render this assumption invalid, and consequently it is likely that Fork/Join in its current form will not scale. This research investigates implementations for Fork/Join to allow the transition to many-core.
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