UPC Performance and Potential: A NPB Experimental Study

T. El-Ghazawi, François Cantonnet
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引用次数: 141

Abstract

UPC, or Unified Parallel C, is a parallel extension of ANSI C. UPC follows a distributed shared memory programming model aimed at leveraging the ease of programming of the shared memory paradigm, while enabling the exploitation of data locality. UPC incorporates constructs that allow placing data near the threads that manipulate them to minimize remote accesses. This paper gives an overview of the concepts and features of UPC and establishes, through extensive performance measurements of NPB workloads, the viability of the UPC programming language compared to the other popular paradigms. Further, through performance measurements we identify the challenges, the remaining steps and the priorities for UPC. It will be shown that with proper hand tuning and optimized collective operations libraries, UPC performance will be comparable to that of MPI. Furthermore, by incorporating such improvements into automatic compiler optimizations, UPC will compare quite favorably to message passing in ease of programming.
UPC性能与潜力:NPB实验研究
UPC,或统一并行C,是ANSI C的并行扩展。UPC遵循分布式共享内存编程模型,旨在利用共享内存范式的编程便利性,同时允许利用数据局域性。UPC包含了允许将数据放置在操作它们的线程附近以减少远程访问的结构。本文概述了UPC的概念和特征,并通过对NPB工作负载的广泛性能测量,建立了UPC编程语言与其他流行范式相比的可行性。此外,通过绩效测量,我们确定了UPC面临的挑战、剩余步骤和优先事项。通过适当的手动调整和优化的集合操作库,UPC的性能将与MPI相当。此外,通过将这些改进合并到自动编译器优化中,UPC在编程的便利性方面将比消息传递更具优势。
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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