An HPC Perspective on Generative Programming

D. Kempf, P. Bastian
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引用次数: 2

Abstract

Numerical software for the solution of partial differential equations is an important field in high performance computing. We study software quality criteria for such software using the Dune software framework as an example. Given these software criteria, different development models are discussed. We furthermore look at recent hardware developments and how they affect software sustainability and programmability. On this basis, we make a case for generative programming techniques in the field of high performance computing and go into detail about recent additions of such into the Dune framework.
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生成式编程的HPC视角
求解偏微分方程的数值软件是高性能计算的一个重要领域。我们以Dune软件框架为例,研究了这类软件的软件质量标准。根据这些软件标准,讨论了不同的开发模型。我们进一步研究了最近的硬件发展,以及它们如何影响软件的可持续性和可编程性。在此基础上,我们为高性能计算领域的生成编程技术做了一个案例,并详细介绍了沙丘框架中最近添加的此类技术。
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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Position Paper: Towards Usability as a First-Class Quality of HPC Scientific Software Releasing Scientific Software in GitHub: A Case Study on SWMM2PEST Susereum: Towards a Reward Structure for Sustainable Scientific Research Software Learning Units-of-Measure from Scientific Code An HPC Perspective on Generative Programming
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