Enabling Performance Engineering in Hesse and Rhineland-Palatinate - A Cooperation of the Rhine-Main-Universities and the Technische Universität Kaiserslautern

在黑森州和莱茵兰-普法尔茨州实现性能工程——莱茵美因大学和凯泽斯劳滕技术大学的合作

• 批准号: 320898076
• 负责人: Professor Dr. Christian Bischof
• 金额: --
• 依托单位: Zentrum für Datenverarbeitung (ZDV)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/320898076?language=en
• 关键词: Enabling; Performance; Engineering; Hesse; Rhineland

The objective of this proposal is to deepen the service scope and to mesh existing structures for basic HPC programming and tuning support at the Technische Universität Darmstadt, the Goethe-Universität Frankfurt, the Johannes-Gutenberg-Universität Mainz (the Rhein-Main Universities), and the Technische Universität Kaiserslautern. Among the four sites represented here, we have both a rich pool of challenging HPC applications emanating from first-class science, but also researchers well-established in critical performance-relevant research that we want to capitalize on.Thus, we want to provide more depth in HPC service in areas where scientific expertise at these universities coincides with critical user needs, pushing expertise on GPU performance engineering, model-based scalability analysis, and algorithmic stability and reproducibility into performance engineering practices. The issue of GPU and vectorization performance is crucial, as it is relevant for all HPC architectures. Performance modeling is critical, as without it, we cannot identify potential performance bottlenecks before resources are expended unnecessarily, an issue that is crucial for the scaling-up of applications, and, in particular, the efficient transition between tier-3, tier-2, and tier-1 computing centers. Lastly, the issues of algorithmic stability, performance, and reproducibility are becoming more and more important with respect to the plausibility and credibility of HPC simulations. So this choice of topics is by no means random but deliberate; the scientific expertise of the project team dovetails with real HPC user needs.At a governance level, we want to bundle the distributed expertise for HPC support and performance engineering that has been already established within the Hessian HPC-Competence Center and the Alliance for HPC in Rhineland-Palatinate in a new umbrella organization for the HPC support and performance engineering activities of all universities of Hesse and Rhineland-Palatinate. In particular, we will ensure dedicated on-site basic level support at all sites, and mesh the postdoctoral associates that provide the translational effort described above with already-existing HPC programming and tuning staff, thus creating a vibrant distributed group of scientific staff that has a shared fundamental knowledge of programming and tuning as well as the topical capabilities mentioned above. We will provide tutorials, coding workshops, and capability showcases to push our special capabilities. To show the value of this work, we will define success metrics, and document and evaluate the work performed.We believe that in this fashion, we create a service organization that offers organizational and operational synergies for HPC users in our states, and profits from the close spatial proximity of the sites involved. In addition, we will provide a model for meshing basic on-site HPC support in a distributed organization with focus support for topics of relevance.

该建议的目的是加深服务范围，并在TechnisscheUniversitätdarmstadt，Goethe-Universitätmandtätmant； Johannes-Gutenberg-Uni​​versitätmainz（Rhein-Main-Main-Main-Main-Main-Main Universities）和TechanischeConisitutätätätätätätätätätätätätätätätuara上加深服务范围并与现有结构相结合。在此处代表的四个站点中，我们既有大量挑战的HPC应用程序，这些应用程序来自一流的科学，而且研究人员在与绩效相关的重要研究中也有很好的成就，我们希望能够利用这一点。对绩效工程实践的可重复性。 GPU和矢量化性能的问题至关重要，因为它与所有HPC架构有关。性能建模至关重要，因为没有它，我们将无法在不必要的问题探索资源之前识别潜在的性能瓶颈，这对于应用程序的扩展至关重要，尤其是尤其是TIER-3，TIER-2和TIER-1计算中心之间的有效过渡。最后，对于HPC模拟的合理性和可信度，算法稳定性，性能和可重复性的问题变得越来越重要。因此，这种主题的选择绝不是随机的，而是故意的。 the scientific expertise of the project team dovetails with real HPC user needs.At a governance level, we want to bundle the distributed expertise for HPC support and performance engineering that has been already established within the Hessian HPC-Competence Center and the Alliance for HPC in Rhineland-Palatinate in a new umbrella organization for the HPC support and performance engineering activities of all universities of Hesse and Rhineland-Palatinate.特别是，我们将确保所有站点的专用现场基本级别的支持，并将博士后同伴隔离，这些伙伴提供了上面描述的翻译工作，并具有已经存在的HPC编程和调整人员，从而创建了一个充满活力的科学人员组，该组具有共享的编程和调整和调整的共享基础知识，以及上述能力。我们将提供教程，编码研讨会和功能展示以推动我们的特殊功能。为了展示这项工作的价值，我们将定义成功指标，记录并评估所执行的工作。我们相信，我们以这种方式创建了一个服务组织，为我们州的HPC用户提供组织和运营协同作用，并从所涉及的网站的紧密空间接近中获利。此外，我们还将为分布式组织中的网络基本现场HPC支持提供一个模型，并重点支持相关性主题。

项目成果

A usability case study of algorithmic differentiation tools on the ISSM ice sheet model

ISSM 冰盖模型算法微分工具的可用性案例研究

• DOI: 10.1080/10556788.2017.1396602
• 发表时间: 2018
• 期刊: Optimization Methods and Software
• 影响因子: 2.2
• 作者: Alexander ;Bischof;Christian ;Sagebaum;Gauger;Nicolas R. ;Jurgelucks ;Benjamin ;Larour ;Perez ;Gilberto
• 通讯作者: Gilberto

Following the Blind Seer - Creating Better Performance Models Using Less Information

跟随盲目的先知 - 使用更少的信息创建更好的性能模型

• DOI: 10.1007/978-3-319-64203-1_8
• 发表时间: 2017
• 作者: Patrick Reisert;Alexandru Calotoiu;Sergei Shudler;Felix Wolf
• 通讯作者: Felix Wolf

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Austin, TX, USA, February 4-8, 2017

第 22 届 ACM SIGPLAN 并行编程原理与实践研讨会论文集，美国德克萨斯州奥斯汀，2017 年 2 月 4-8 日

• DOI: 10.1145/3155284
• 发表时间: 2017
• 作者: Shudler;Sergei;Calotoiu;Alexandru;Hoefler;Torsten
• 通讯作者: Torsten

Exploring the Performance Envelope of the LLL Algorithm

探索 LLL 算法的性能范围

• DOI: 10.1109/cse.2018.00012
• 发表时间: 2018
• 期刊: 2018 IEEE International Conference on Computational Science and Engineering (CSE)
• 作者: Burger;Bischof;Calotoiu;Wunderer
• 通讯作者: Wunderer

Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling

学习用于经验性能建模的经济高效的采样策略

• DOI: 10.1109/ipdps47924.2020.00095
• 发表时间: 2020
• 期刊: 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
• 作者: Ritter;Marcus;Calotoiu;Alexandru;Sebastian;Reimann;Thorsten;Hoefler;Torsten
• 通讯作者: Torsten