HARPPIE:高效并行密集型工作的超级算法配方

Pedro Monteiro
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引用次数: 1

摘要

在过去的几年里,并行性变得越来越重要,多核处理现在已经很常见了。并行的大规模化正在推动新技术的研究和开发,以克服当前并行计算的限制。然而,并行化研究的范围主要集中在不断提高的性能上,在提高并行软件开发的生产率方面还有很多工作要做。这项博士研究旨在开发方法和工具来降低并行编程的复杂性,使非专业程序员能够从新一代并行驱动的编程平台中充分受益。尽管要降低并行编程的技能要求,使之成为中等技能编程人员所能达到的水平,还有很多工作要做,但我们相信这项研究将有助于弥合这一差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HARPPIE: Hyper algorithmic recipe for productive parallelism intensive endeavors
Over the last few years, Parallelism has been gaining increasing importance and multicore processing is now common. Massification of parallelism is driving research and development of novel techniques to overcome current limits of Parallel Computing. However, the scope of parallelization research focuses mainly on ever-increasing performance and much still remains to be accomplished regarding improving productivity in the development of parallel software. This PhD research aims to develop methods and tools to dilute parallel programming complexity and enable nonexpert programmer to fully benefit from a new generation of parallelism-driven programming platforms. Although much work remains to be done to reduce the skill requirements for parallel programming to become within reach of medium-skill programming workforces, it is our belief that this research will help bridge that gap.
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