面向多块结构网格计算的OPS领域特定抽象

I. Reguly, G. Mudalige, M. Giles, Dan Curran, Simon McIntosh-Smith
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引用次数: 59

摘要

代码可维护性、性能可移植性和对未来的验证是高性能计算快速变化时代的一些关键挑战。领域特定语言和活动库通过专注于单个应用程序领域并提供高级编程方法来解决这些挑战,然后使用领域知识在各种硬件上提供高性能。本文介绍了面向多块结构网格计算的OPS高级抽象和活动库,并讨论了其设计要点;我们演示了如何将OPS嵌入到C/ c++中,如何使API看起来像一个传统的库,以及如何通过简单的文本操作和后端逻辑的组合,我们可以使用不同的并行编程方法在各种硬件上执行。基于OPS抽象的访问-执行描述,我们引入了许多自动执行技术,这些技术支持分布式内存并行化、通信模式优化、检查点和缓存阻塞。使用来自Mantevo基准套件的CloverLeaf的性能结果,我们演示了OPS的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The OPS Domain Specific Abstraction for Multi-block Structured Grid Computations
Code maintainability, performance portability and future proofing are some of the key challenges in this era of rapid change in High Performance Computing. Domain Specific Languages and Active Libraries address these challenges by focusing on a single application domain and providing a high-level programming approach, and then subsequently using domain knowledge to deliver high performance on various hardware. In this paper, we introduce the OPS high-level abstraction and active library aimed at multi-block structured grid computations, and discuss some of its key design points; we demonstrate how OPS can be embedded in C/C++ and the API made to look like a traditional library, and how through a combination of simple text manipulation and back-end logic we can enable execution on a diverse range of hardware using different parallel programming approaches. Relying on the access-execute description of the OPS abstraction, we introduce a number of automated execution techniques that enable distributed memory parallelization, optimization of communication patterns, checkpointing and cache-blocking. Using performance results from CloverLeaf from the Mantevo suite of benchmarks, we demonstrate the utility of OPS.
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