ZIH-Colloquium
Table of contents
The ZIH colloquium is a public event and takes place usually the 4th Thursday of each month. Below you will find the current and former dates with all necessary information. You are cordially invited!
Current Dates 2023
Additional colloquium: 26. May 2023, 10:00 CEST, APB-1004/Online:
Dr. Ignacio Laguna (Lawrence Livermore National Laboratory, Livermore, California) - „Mitigating Numerical Inconsistencies and Exceptions in Heterogeneous HPC Systems“
Dr. Ignacio Laguna
Scientific computing applications running on heterogeneous systems may suffer from numerical reproducibility and correctness issues, which can take a significant amount of time to detect and fix. This talk will present several tools and techniques to isolate numerical errors that arise when scientific software is ported to GPUs. The approaches include isolating compiler-induced numerical inconsistencies, detecting numerical exceptions, and finding inputs that trigger exceptions in GPU software.
Dr. Ignacio Laguna is a Computer Scientists and a Group Leader at the Center for Applied Scientific Computing at the Lawrence Livermore National Laboratory (LLNL), California. His research is focused on programing models for HPC, software correctness, debugging tools, and fault tolerance. He received his PhD in Computer Engineering from Purdue University in 2012 and has been at LLNL for more than ten years.
The colloquium is free of charge. Language: German/English
The event will be offered in HYBRID. You can join the ZIH-Colloquium as following:
- LIVE: Andreas-Pfitzmann-Bau, Room 1004
- ONLINE: Link ZIH-Colloquia
Past Colloquia 2023
25. May 2023, 15:00 CEST, Hörsaal A317 Willers-Bau/Online:
Dr. Günther Rezniczek (Marien Hospital Herne, Herne) - „Building upon REDCap – Extensibility based on the EM Framework: Use cases and the technology behind“ (slides)
Dr. Günther Rezniczek
External Modules are a powerful feature in REDCap that enable users to extend the functionality of the platform beyond its core capabilities. With External Modules, users can add new features, enhance existing ones, or integrate with external tools and systems. This has opened up a whole new world of possibilities for REDCap users, allowing them to tailor the platform to their specific needs and workflows. Some benefits of External Modules include increased efficiency, improved data quality, enhanced user experience, and better integration with other systems. Additionally, the REDCap community has created a vast library of External Modules that are freely available to all users, making it easy to share and reuse code across projects and institutions. This talk gives a high-level overview of this feature, showcases a few existing modules, and gives insights into external module mechanics at lower levels.
Dr. Günther Rezniczek got his PhD in Biochemistry and after doing basic research on the cytoskeletal protein plectin, he transitioned into clinical research, heading the Research Lab of the Department of Obstetrics and Gynecology, Marien Hospital Herne, University Clinic of Ruhr-Universität Bochum, where he established REDCap (Research Electronic Data Capture) as the go-to data capture tool. Inside the REDCap Consortium, he contributed significantly to the development of REDCap, and in 2021, won the REDCap Consortium MVP Award, and in 2022, he was among the REDCap All-Star Medal winners. Dr. Rezniczek has been one of the co-speakers of the REDCap German User Group since its establishment in 2020.
27. April 2023, 15:00 CEST Online:
Samuel Antao (AMD, München) -
„Hardware, Software, and Application Co-Design on the Frontier and Lumi Systems“ (slides)
Samuel Antao
AMD Instinct GPUs are featured in several of the top most powerful supercomputers in the world, being Frontier and LUMI flagship systems for US and Europe, respectively. A concerted effort between hardware, software toolchain, and application is absolutely mandatory so as to get the most of the GPU accelerators and deliver on unprecedented breakthroughs in computational science enabled by these devices. This talk covers several examples on how a close interaction and co-design of the different layers, from hardware to application, has been instrumental for some of the most popular application run today on Frontier and LUMI.
Samuel Antao has a vast experience in optimisation and performance tuning for HPC applications and systems with focus on accelerators. His work spans hardware design with FPGAs, programming model research, compiler development and application optimisation. Samuel has participated in several cutting edge projects around HPC in Europe and in US, including CORAL, having spearheaded the GPU support for OpenMP in Clang/LLVM and helping numerous scientists and software developers to adopt the latest HPC technology and making the most out it. Samuel Antao is a Senior Member of Technical Staff with AMD and AMD lead to the LUMI Center of Excellence.
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