Compiler and runtime support for out-of-core HPF programs
Compiler and runtime support for out-of-core HPF programs
复制标题
对核外 HPF 程序的编译器和运行时支持
DOI：
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发表时间：
1994
期刊：
影响因子：
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通讯作者：
A. Choudhary
中科院分区：
文献类型：
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作者：
R. Thakur;R. Bordawekar;A. Choudhary
本文介绍了一种编译器的设计，该编译器可以翻译用HPF等数据并行语言编写的核外程序。这样的编译器对于编译大型科学应用程序是必需的，例如处理大量数据的Grand Challenge应用程序。我们提出了一个框架，通过该框架，编译器和适当的运行时支持可以将核外HPF程序转换为具有显式并行I/O的消息传递节点程序。我们描述了编译器的基本模型和编译器所做的各种转换。我们还讨论了编译器用于I/O和通信的运行时例程。为了最小化I/O，运行时支持系统可以重用已经获取到内存中的数据。使用两个核外应用程序（即拉普拉斯方程求解器和LU分解）以及Intel Touchstone Delta上的性能结果来说明编译器的工作。
This paper describes the design of a compiler which can translate out-of-core programs written in a data parallel language like HPF. Such a compiler is required for compiling large scale scientific applications, such as the Grand Challenge applications, which deal with enormous quantities of data. We propose a framework by which a compiler together with appropriate runtime support can translate an out-of-core HPF program to a message passing node program with explicit parallel I/O. We describe the basic model of the compiler and the various transformations made by the compiler. We also discuss the runtime routines used by the compiler for I/O and communication. In order to minimize I/O, the runtime support system can reuse data already fetched into memory. The working of the compiler is illustrated using two out-of-core applications, namely a Laplace equation solver and LU Decomposition, together with performance results on the Intel Touchstone Delta.