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35th Workshop on Sustained Simulation Performance

April 13, 2023 - April 14, 2023


All times are given in Central European Summer Time (CEST). 

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Thursday, April 13, 2022

10:00 – 10:15 Welcome & Introduction
Michael Resch, HLRS, University of Stuttgart
10:15 – 10:45 Lessons Learned from A Quantum-Annealing Assisted HPC R&D Project
Hiroaki Kobayashi, Tohoku University
10:45 – 11:15 NEC’s Quantum Computing Strategy, Technology, and Use Cases
Shintaro Momose, NEC Corporation

11:15 – 11:45 Towards Science DMZ based on Accelerated ONION using DTN
Susumu Date, Osaka University
The speaker introduces what is happening in Osaka University towards the promotion and advancement of Data-driven Scientific Research. In this talk, the experience of using DTN is first introduced and then a future direction of compute infrastructure composed of supercomputers( SQUID and OCTOPUS ) and data infrastructure is explained based on the experience.
11:45 – 13:15 Lunch
13:15 – 13:45 SPH-EXA: A Framework for Scalable, Flexible, and Extensible Astrophysical and Cosmological Simulations – Slides
Florina M. Ciorba, Department of Mathematics and Computer Science, University of Basel

13:45 – 14:15 Prediction and Mitigation of Aeroacoustic Noise on HPC Systems
Matthias Meinke, Ansgar Niemöller, Miro Gondrum, Zhe Yang, Wolfgang Schröder, Institute of Aerodynamics, RWTH Aachen University, Germany
14:15 – 14:45 Real-time flood inudndation simulation on SX-Aurora TSUBASA
Hiroyuki Takizawa, Yoichi Shimomura, Akihiro Musa, Yoshihiko Sato, Atuhiko Konja, Guoqing Cui, Rei Aoyagi, and Keichi Takahashi, Tohoku University
A real-time flood inundation simulation based on the Rainfall-Runoff Inundation (RRI) model is memory-intensive, and SX-Aurora TSUBASA is hence promising to efficiently execute the simulation in time due to high sustained memory bandwidth provided by vector processors. This talk will report that the real-time simulation has successfully been migrated and optimized for SX-Aurora TSUBASA. Assuming a shared computing system such as Supercomputer AOBA installed at Tohoku University, a resource demand estimation method is developed to minimize the amount of shared computing resources used for prediction in order to reduce the impact on other users sharing the system. The evaluation results show that SX-Aurora TSUBASA with only 32 cores can meet the real-time simulation requirement of simulating 7-hour flood inundation for the Tohoku region of Japan within 20 minutes, and also the resource demand estimation method can adaptively adjust the computing resource amount used for the real-time simulation.
14:45 – 15:15 Break
15:15 – 15:45 Competence Centres and Centres of Excellence within the European Strategy – Slides
Bastian Koller, HLRS, University of Stuttgart
15:45 – 16:15 Power capping in high performance computing – experiences and prospects
Pawel Czarnul, Adam Krzywaniak and Jerzy Proficz, Gdańsk University of TechnologyIn this work we investigate usage, limitations and prospects of power capping in high performance computing (HPC). Specifically, we discuss APIs for modern CPUs, GPUs and present, as an illustration, new unpublished data showing performance and energy characteristics for selected parallel OpenMP applications under power caps executed on a dual socket Intel Skylake-X system. These APIs can be used within algorithms: deriving configurations for which selected performance-energy goals (such as EDP, EDS) are optimized for non-trivial i.e. non-default power caps; and also allowing minimization of execution times under power caps. We discuss various factors of interest in the future in power capping aware HPC such as other metrics not considered so far, applicability and accuracy of measurement methods: using filters, hardware vs software methods, conditions and use cases for particular methods. We describe future works and areas including scenarios that can benefit from power capping in HPC.
16:15 – 16:45 Containerization for DLR HPC applications
Sabine Roller, Deutsches Zentrum für Luft- und Raumfahrt, Institut für Softwaremethoden zur Produkt-Virtualisierung
18:30 Dinner

Friday, April 14, 2023

09:00 – 09:45 Keynote – Sustaining Simulation Performance in the US Exascale Computing Project – Slides
Hartwig Anzt , University of Tennessee, Knoxville
The US Exascale Computing Project (ECP) has the goal to deliver a capable exascale computing ecosystem to provide breakthrough modeling and simulation solutions to address the most critical challenges in scientific discovery, energy assurance, economic  competitiveness, and national security. This requires providing scientific computing applications with a software stack that allows them to perform on the leadership supercomputers. In this talk, we discuss the impact of the ECP hardware landscape on software design and how the Ginkgo math library responds to the ECP application requirements and helps to achieve the simulation performance goals.
09:45 – 10:15 HPC and AI at HLRS – Slides
Michael Resch, HLRS, University of Stuttgart

10:15 – 11:00 Break
11:00 – 11:30 Towards Building a Digital Twin of Job Scheduling
Tatsuyoshi Ohmura, NEC Corporation

11:30 – 12:00 Scalable Cluster Administration with LXC³ – Slides
Erich Focht, NEC Corporation
The LXC^3 Cluster Command and Control tools have evolved at NEC Germany since two decades, going through various changes to adapt to continuously changing requirements. The talk discusses the design choices of LXC^3-neo which runs as a pool of micro-services orchestrated by docker swarm, its scalability and limitations seen at customer sites. The most recent developments move the cluster management stack even closer to methods used in cloud systems management, simplifying node image handling and management network setup.
12:00 – 13:30 Lunch
13:30 – 14:00 A feasibility study of quantum annealing for the next-generation computing infrastructure – Slides
Kazuhiko Komatsu, Tohoku University
This presentation introduces a new project, feasibility study of quantum computing for the next-generation computing infrastructure, and shows an early evaluation of annealing machines.
14:00 – 14:30 Energy Efficiency and Renewable Energy for Distributed High-Performance Computing
Christoph Niethammer, HLRS, University of Stuttgart
14:30 – 15:00 A new framework for calibrating COVID-19 SEIR models with spatial-/time-varying coefficients using genetic and sliding window algorithms – Slides
Huan Zhou, HLRS, University of Stuttgart

15:00 Open End



April 13, 2023
April 14, 2023


Mr. Johannes Gebert


Nobelstraße 19
Stuttgart, Baden-Württemberg 70569 Germany
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Program Committee

  • Prof. Michael Resch, Stuttgart University, HLRS
  • Prof. Hiroaki Kobayashi, Tohoku University
  • Dr. Wolfgang Bez, NEC Deutschland GmbH, Division HPCE
  • Prof. Sabine Roller, German Research School for Simulation Sciences GmbH

Organizing Committee

  • Prof. Michael Resch, Stuttgart University, HLRS
  • Johannes Gebert, Stuttgart University, HLRS
  • Prof. Hiroaki Kobayashi, Tohoku University
  • Prof. Hiroyuki Takizawa, CyberScience Center, Tohoku University