{"title":"将联接演算映射到异构硬件","authors":"Peter Calvert, A. Mycroft","doi":"10.4204/EPTCS.109.2","DOIUrl":null,"url":null,"abstract":"As modern architectures introduce additional heterogeneity and parallelism, we look for ways to deal with this that do not involve specialising software to every platform. In this paper, we take the Join Calculus, an elegant model for concurrent computation, and show how it can be mapped to an architecture by a Cartesian-product-style construction, thereby making use of the calculus' inherent non-determinism to encode placement choices. This unifies the concepts of placement and scheduling into a single task.","PeriodicalId":53164,"journal":{"name":"Journal of Historic Buildings and Places","volume":"65 10","pages":"7-12"},"PeriodicalIF":0.1000,"publicationDate":"2013-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Mapping the Join Calculus to Heterogeneous Hardware\",\"authors\":\"Peter Calvert, A. Mycroft\",\"doi\":\"10.4204/EPTCS.109.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As modern architectures introduce additional heterogeneity and parallelism, we look for ways to deal with this that do not involve specialising software to every platform. In this paper, we take the Join Calculus, an elegant model for concurrent computation, and show how it can be mapped to an architecture by a Cartesian-product-style construction, thereby making use of the calculus' inherent non-determinism to encode placement choices. This unifies the concepts of placement and scheduling into a single task.\",\"PeriodicalId\":53164,\"journal\":{\"name\":\"Journal of Historic Buildings and Places\",\"volume\":\"65 10\",\"pages\":\"7-12\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2013-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Historic Buildings and Places\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4204/EPTCS.109.2\",\"RegionNum\":4,\"RegionCategory\":\"历史学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ARCHAEOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Historic Buildings and Places","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4204/EPTCS.109.2","RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ARCHAEOLOGY","Score":null,"Total":0}
Mapping the Join Calculus to Heterogeneous Hardware
As modern architectures introduce additional heterogeneity and parallelism, we look for ways to deal with this that do not involve specialising software to every platform. In this paper, we take the Join Calculus, an elegant model for concurrent computation, and show how it can be mapped to an architecture by a Cartesian-product-style construction, thereby making use of the calculus' inherent non-determinism to encode placement choices. This unifies the concepts of placement and scheduling into a single task.