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Compiling High Performance Fortran for distributed-memory architectures

机译:为分布式内存架构编译高性能Fortran

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High Performance Fortran (HPF) is a data-parallel language that provides a high-level interface for programming scientific applications, while delegating to the compiler the task of generating explicitly parallel message-passing programs. This paper provides an overview of HPF compilation and runtime technology for distributed-memory architectures, and deals with a number of topics in some detail. In particular, we discuss distribution and alignment processing, the basic compilation scheme and methods for the optimization of regular com- putations. A separate section is devoted to the transformation and optimization of indepen- dent loops with irregular data accesses. The paper concludes with a discussion of research issues and outlines potential future development paths of the language.
机译:高性能Fortran(HPF)是一种数据并行语言,为科学应用程序的编程提供了高级界面,同时将生成显式并行消息传递程序的任务委托给编译器。本文概述了用于分布式内存体系结构的HPF编译和运行时技术,并详细讨论了许多主题。特别是,我们讨论了分布和对齐处理,用于常规计算优化的基本编译方案和方法。有一个单独的部分专门介绍了具有不规则数据访问的独立循环的转换和优化。本文以对研究问题的讨论作为结尾,并概述了该语言未来的潜在发展路径。

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