在通往Exascale的道路上,在不稳定的环境中创建稳定、高效的CSE软件开发和集成过程

R. Bartlett, Joseph R. Frye
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引用次数: 0

摘要

桑迪亚国家实验室(SNL)先进技术开发和缓解(ATDM)项目侧重于百亿亿次计算科学与工程(CSE)软件的研发。Exascale应用程序(APP)代码与大量建立在Kokkos之上的第2代Trilinos包共同开发和集成,以实现便携式性能。这些努力面临的挑战是,需要使用不成熟的编译器和其他系统软件,在许多不稳定且不断变化的pre-exascale平台上进行开发和测试。为这些类型的困难项目创建稳定的开发和集成工作流,提出了挑战、经验和教训。特别是,我们描述了自动化工作流、测试和集成过程,以及新工具和多团队协作过程,以有效地保持在这些不稳定平台上工作的大量自动化构建和测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creating Stable Productive CSE Software Development and Integration Processes in Unstable Environments on the Path to Exascale
The Sandia National Laboratories (SNL) Advanced Technology Development and Mitigation (ATDM) project focuses on R&D for exascale computational science and engineering (CSE) software. Exascale application (APP) codes are co-developed and integrated with a large number of 2^nd generation Trilinos packages built on top of Kokkos for achieving portable performance. These efforts are challenged by needing to develop and test on many unstable and constantly changing pre-exascale platforms using immature compilers and other system software. Challenges, experiences, and lessons learned are presented for creating stable development and integration workflows for these types of difficult projects. In particular, we describe automated workflows, testing, and integration processes as well as new tools and multi-team collaboration processes for effectively keeping a large number of automated builds and tests working on these unstable platforms.
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