{"title":"Towards Automatically Optimizing PySke Programs","authors":"Jolan Philippe, F. Loulergue","doi":"10.1109/HPCS48598.2019.9188160","DOIUrl":null,"url":null,"abstract":"Explicit parallel programming for shared and distributed memory architectures is an efficient way to deal with data intensive computations. However approaches such as explicit threads or MPI remain difficult solutions for most programmers. Indeed they have to face different constraints such as explicit inter-processors communications or data distribution.","PeriodicalId":371856,"journal":{"name":"2019 International Conference on High Performance Computing & Simulation (HPCS)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCS48598.2019.9188160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Explicit parallel programming for shared and distributed memory architectures is an efficient way to deal with data intensive computations. However approaches such as explicit threads or MPI remain difficult solutions for most programmers. Indeed they have to face different constraints such as explicit inter-processors communications or data distribution.