{"title":"CnC-Python: multicore programming with high productivity","authors":"S. Imam","doi":"10.1145/2384716.2384763","DOIUrl":null,"url":null,"abstract":"We present CnC-Python (CP), an approach to implicit multicore parallelism based on Intel's Concurrent Collections model. CP enables programmers to achieve task, data and pipeline parallelism in a declarative fashion while only being required to describe the program as a coordination graph with serial Python code for individual nodes.","PeriodicalId":194590,"journal":{"name":"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","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/10.1145/2384716.2384763","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We present CnC-Python (CP), an approach to implicit multicore parallelism based on Intel's Concurrent Collections model. CP enables programmers to achieve task, data and pipeline parallelism in a declarative fashion while only being required to describe the program as a coordination graph with serial Python code for individual nodes.