并行矩阵规划的编译器扩展

Kevin Williams, Matthew Le, Ted Kaminski, E. V. Wyk
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引用次数: 1

摘要

本文描述了我们的原型可扩展C翻译器的一个编译器扩展,它增加了并行执行矩阵运算的新特性,并展示了它们在时空数据挖掘问题中的应用。该扩展提供了新的语言特性,用于构造新矩阵、在矩阵元素上映射函数,以及累加操作(例如,可以对矩阵中的值求和)。它还提供了适当的语义分析,以便在将结构转换为并行C代码之前检查错误。该扩展还提供了一些特性,让程序员可以指示扩展如何将这些矩阵结构转换为C代码。追求更高性能水平的程序员可以指定底层for循环的结构,以便使用循环平铺技术或向量处理器生成代码。一般来说,我们的方法支持的编译器扩展允许轻松地将新的特定于领域的语法和语义分析添加到宿主语言中。宿主C语言和扩展的规范组成来创建一个自定义转换器,该转换器将扩展的C程序映射到普通(并行)C代码,检查特定领域的错误,并在此过程中应用高级特定领域的优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Compiler Extension for Parallel Matrix Programming
This paper describes a compiler extension to our prototype extensible C translator that adds new features for parallel execution of matrix operations and shows their application to problems in spatio-temporal data mining. The extension provides new language features for constructing new matrices, mapping functions over elements of a matrix, and accumulating operations that, for example, can sum values in a matrix. It also provides the appropriate semantic analysis to check for errors before translating the constructs down to parallel C code. The extension also provides features that let the programmer indicate how the extension translates these matrix constructs down to C code. Programmers seeking higher levels of performance can specify how the underlying for-loops are structured so that code using, for example, loop-tiling techniques or vector processors, is generated. In general, compiler extensions supported by our approach allow new domain-specific syntax and semantic analyses to be easily added to the host language. Specifications of the host C language and the extensions are composed to create a custom translator that maps extended C programs down to plain (parallel) C code, checking for domain-specific errors and applying high-level domain-specific optimizations in the process.
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