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Fortran 2018 with Parallel Programming最新文献

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Precision and Range 精度和量程
Fortran 2018 with Parallel Programming
Pub Date : 2019-08-22 DOI: 10.1201/9780429326097-5
Subrata Ray
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引用次数: 0
Object-Oriented Programming 面向对象编程
Fortran 2018 with Parallel Programming
Pub Date : 2019-08-22 DOI: 10.1201/9780429326097-19
Subrata Ray
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引用次数: 0
C–Fortran Interoperability C-Fortran互操作性
Fortran 2018 with Parallel Programming
Pub Date : 2019-08-22 DOI: 10.1201/9780429326097-18
Subrata Ray
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引用次数: 0
Arithmetic, Relational and Logical Operators and Expressions 算术，关系和逻辑运算符和表达式
Fortran 2018 with Parallel Programming
Pub Date : 2019-08-22 DOI: 10.1201/9780429326097-2
Subrata Ray
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引用次数: 0
Array and Array-Handling Intrinsics 数组和数组处理内部函数
Fortran 2018 with Parallel Programming
Pub Date : 2019-08-22 DOI: 10.1201/9780429326097-6
Subrata Ray
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引用次数: 0
Parallel Programming Using Coarray 使用Coarray的并行编程
Fortran 2018 with Parallel Programming
Pub Date : 2019-08-22 DOI: 10.1201/9780429326097-20
Subrata Ray
{"title":"Parallel Programming Using Coarray","authors":"Subrata Ray","doi":"10.1201/9780429326097-20","DOIUrl":"https://doi.org/10.1201/9780429326097-20","url":null,"abstract":"","PeriodicalId":383412,"journal":{"name":"Fortran 2018 with Parallel Programming","volume":"1 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":"129541682","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}
引用次数: 0
IEEE Floating Point Arithmetic and Exceptions IEEE浮点运算与异常
Fortran 2018 with Parallel Programming
Pub Date : 2019-08-22 DOI: 10.1201/9780429326097-14
Subrata Ray
{"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}
引用次数: 0
Parallel Programming Using Message Passing Interface (MPI) 基于消息传递接口(MPI)的并行编程
Fortran 2018 with Parallel Programming
Pub Date : 2019-08-22 DOI: 10.1201/9780429326097-22
Subrata Ray
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引用次数: 0
Bit Handling 一些处理
Fortran 2018 with Parallel Programming
Pub Date : 2019-08-22 DOI: 10.1201/9780429326097-17
Subrata Ray
{"title":"Bit Handling","authors":"Subrata Ray","doi":"10.1201/9780429326097-17","DOIUrl":"https://doi.org/10.1201/9780429326097-17","url":null,"abstract":"","PeriodicalId":383412,"journal":{"name":"Fortran 2018 with Parallel Programming","volume":"19 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":"133605054","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}
引用次数: 0
Parallel Programming Using OpenMP 使用OpenMP的并行编程
Fortran 2018 with Parallel Programming
Pub Date : 2019-08-22 DOI: 10.1201/9780429326097-21
Subrata Ray
• 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
OpenMP代表“Open Multi-Processing”。OpenMP是一个多厂商(参见下页)执行共享内存多线程的标准。OpenMP使用fork-join模型。OpenMP是基于指令和库的。OpenMP线程共享单个可执行文件、全局内存和堆(malloc, new)。每个OpenMP线程都有自己的堆栈(函数参数、函数返回地址、•使用OpenMP不需要剧烈的代码更改•OpenMP可能会为您提供最大的多线程效益，您必须投入使用它的工作量
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引用次数: 0
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