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DTSTART;TZID=Europe/Paris:20230627T160000
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DTSTAMP:20260511T184609
CREATED:20230912T155326Z
LAST-MODIFIED:20230912T155459Z
UID:364-1687881600-1687888800@ceec-coe.eu
SUMMARY:MS4F - Cross-Cutting Aspects of Exploiting Exascale Platforms for High-Fidelity CFD in Turbulence Research
DESCRIPTION:With the arrival of exascale computing\, the theoretical computational performance has increased\, opening up for unprecedented simulation capabilities for Computational Fluid Dynamics (CFD) applications. While offering high theoretical peak performance and high memory bandwidth\, to efficiently exploit these systems\, complex programming models and significant programming investments are necessary. Furthermore\, most known pre and exascale systems currently planned or installed\, e.g. Frontier\, Leonardo and LUMI\, contain a large fraction of accelerators. Thus\, the challenge of porting and tuning scientific codes for these new platforms can no longer be ignored. However\, established CFD codes build on years of verification and validation of their underlying numerical methods\, potentially preventing a complete rewrite and rendering disruptive code changes a delicate task. Therefore\, porting established codes to accelerators poses several interdisciplinary challenges\, from formulating suitable numerical methods to applying sound software engineering practices to cope with disruptive code changes. The wide range of topics makes the exascale CFD transition relevant to a broader audience\, extending outside the traditional fluid dynamics community. This minisymposium aims at bringing together the CFD community as a whole\, from domain scientists to HPC experts\, to discuss current and future challenges towards enabling exascale fluid dynamics simulations on anticipated accelerated systems.
URL:https://ceec-coe.eu/event/ms4f-cross-cutting-aspects-of-exploiting-exascale-platforms-for-high-fidelity-cfd-in-turbulence-research/
CATEGORIES:Conference
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DTSTART;TZID=Europe/Paris:20230627T163000
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DTSTAMP:20260511T184609
CREATED:20230912T153004Z
LAST-MODIFIED:20230912T153004Z
UID:361-1687883400-1687885200@ceec-coe.eu
SUMMARY:Sustainable and Reliable Computing with Tools: Analyzing Precision Appetites of CFD Applications with VerifiCarlo
DESCRIPTION:The energy consumption constraint for large-scale computing encourages scientists to revise the architecture design of hardware but also applications\, algorithms\, as well as the underlying working/ storage precision. The main aim is to make the computing cost sustainable and apply the lagom principle (”not too much\, not too little\, the right amount”)\, especially when it comes to working/ storage precision. Thus\, I will introduce an approach to address the issue of sustainable\, but still reliable\, computations from the perspective of computer arithmetic tools. Before lowering precision\, one needs to ensure that the simulation is numerically correct\, e.g. by relying on alternative floating-point models/ rounding to pinpoint numerical bugs and to estimate the accuracy. We employ VerifiCarlo and its variable precision backend to identify the parts of the code that benefit from smaller floating-point formats. Finally\, we show preliminary results on proxies of CFD applications.
URL:https://ceec-coe.eu/event/sustainable-and-reliable-computing-with-tools-analyzing-precision-appetites-of-cfd-applications-with-verificarlo/
CATEGORIES:Conference
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