算法-软件连续体的问题

L. Jamieson, M. Atallah, J. Cuny, D. Gannon, J. JáJá, V. Lo, R. Miller
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引用次数: 0

摘要

迄今为止,在并行系统上实现最高性能需要专业知识,包括高级算法设计,以及与体系结构相关的实现微调。不了解体系结构细节的应用程序用户无法利用(或补偿)目标机器的特性;为了采用最适合特定体系结构的方法,并行处理专家通常无法从根本上探索解决物理问题的不同方法。此外,软件工具还没有成功地实现高性能并行应用程序的自动化。因此,作者处理的问题是,并行系统的用户可以/应该期望成为多少算法设计者,以及期望得到多少软件支持是现实的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Issues on the algorithm-software continuum
To date, highest performance on parallel systems has required expertise spanning high-level algorithm design through architecture-dependent fine tuning of the implementation. Application users who are uninformed about architecture details are not able to take advantage of (or compensate for) idiosyncrasies of the target machine; parallel processing experts are often not able to explore radically different ways of solving a physical problem in order to adopt the approach best suited to a particular architecture. Moreover, software tools have not yet succeeded in automating the realization of high-performance parallel applications. The authors therefore deal with questions about how much of an algorithm designer a user of parallel systems can/should be expected to be, and how much software support is realistic to expect.<>
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