{"title":"Precision and Range","authors":"Subrata Ray","doi":"10.1201/9780429326097-5","DOIUrl":"https://doi.org/10.1201/9780429326097-5","url":null,"abstract":"","PeriodicalId":383412,"journal":{"name":"Fortran 2018 with Parallel Programming","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123292311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Arithmetic, Relational and Logical Operators and Expressions","authors":"Subrata Ray","doi":"10.1201/9780429326097-2","DOIUrl":"https://doi.org/10.1201/9780429326097-2","url":null,"abstract":"","PeriodicalId":383412,"journal":{"name":"Fortran 2018 with Parallel Programming","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114403741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Floating Point Arithmetic and Exceptions","authors":"Subrata Ray","doi":"10.1201/9780429326097-14","DOIUrl":"https://doi.org/10.1201/9780429326097-14","url":null,"abstract":"","PeriodicalId":383412,"journal":{"name":"Fortran 2018 with Parallel Programming","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122480509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Parallel Programming Using OpenMP","authors":"Subrata Ray","doi":"10.1201/9780429326097-21","DOIUrl":"https://doi.org/10.1201/9780429326097-21","url":null,"abstract":"• OpenMP stands for “Open Multi-Processing” • OpenMP is a multi-vendor (see next page) standard to perform shared-memory multithreading • OpenMP uses the fork-join model • OpenMP is both directiveand library-based • OpenMP threads share a single executable, global memory, and heap (malloc, new) • Each OpenMP thread has its own stack (function arguments, function return address, local variables) • Using OpenMP requires no dramatic code changes • OpenMP probably gives you the biggest multithread benefit per amount of work you have to put in to using it","PeriodicalId":383412,"journal":{"name":"Fortran 2018 with Parallel Programming","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115598746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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