Pieter Bellens, Josep M. Pérez, Rosa M. Badia, J. Labarta
{"title":"CellSs: a Programming Model for the Cell BE Architecture","authors":"Pieter Bellens, Josep M. Pérez, Rosa M. Badia, J. Labarta","doi":"10.1145/1188455.1188546","DOIUrl":null,"url":null,"abstract":"In this work we present Cell superscalar (CellSs) which addresses the automatic exploitation of the functional parallelism of a sequential program through the different processing elements of the Cell BE architecture. The focus in on the simplicity and flexibility of the programming model. Based on a simple annotation of the source code, a source to source compiler generates the necessary code and a runtime library exploits the existing parallelism by building at runtime a task dependency graph. The runtime takes care of the task scheduling and data handling between the different processors of this heterogeneous architecture. Besides, a locality-aware task scheduling has been implemented to reduce the overhead of data transfers. The approach has been implemented and tested with a set of examples and the results obtained since now are promising","PeriodicalId":333909,"journal":{"name":"ACM/IEEE SC 2006 Conference (SC'06)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"352","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM/IEEE SC 2006 Conference (SC'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1188455.1188546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 352
Abstract
In this work we present Cell superscalar (CellSs) which addresses the automatic exploitation of the functional parallelism of a sequential program through the different processing elements of the Cell BE architecture. The focus in on the simplicity and flexibility of the programming model. Based on a simple annotation of the source code, a source to source compiler generates the necessary code and a runtime library exploits the existing parallelism by building at runtime a task dependency graph. The runtime takes care of the task scheduling and data handling between the different processors of this heterogeneous architecture. Besides, a locality-aware task scheduling has been implemented to reduce the overhead of data transfers. The approach has been implemented and tested with a set of examples and the results obtained since now are promising