BSP2OMP: A compiler for translating BSP programs to OpenMP

A. Marowka
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引用次数: 5

Abstract

The convergence of the two widely used parallel programming paradigms, shared- memory and distributed- shared-memory parallel programming models, into a unified parallel programming model is crucial for parallel computing to become the next mainstream programming paradigm. We study the design differences and the performance issues of two parallel programming models: a shared- memory programming model (OpenMP) and a distributed- shared programming model (BSP). The study was carried out by designing a compiler for translating BSP parallel programs to an OpenMP programming model called BSP20MP. Analysis of the compiler outcome, and of the performance of the compiled programs, show that the two models are based on very similar underlying principles and mechanisms.
BSP2OMP:将BSP程序翻译成OpenMP的编译器
两种广泛使用的并行编程范式——共享内存和分布式共享内存并行编程模型——融合成一个统一的并行编程模型,对于并行计算成为下一个主流编程范式至关重要。我们研究了两种并行编程模型的设计差异和性能问题:共享内存编程模型(OpenMP)和分布式共享编程模型(BSP)。本研究通过设计一个编译器将BSP并行程序翻译成OpenMP编程模型BSP20MP来完成。对编译结果和编译后程序性能的分析表明,这两种模型基于非常相似的基本原理和机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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