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Experience and Anal...
Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular Supercomputing Architectures
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- Karp, Martin, 1996- (författare)
- KTH,Beräkningsvetenskap och beräkningsteknik (CST)
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- Suarez, Estela (författare)
- Forschungszentrum Julich GmbH, Juelich Supercomputing Centre; Rheinische Friedrich-Wilhelms-Universität Bonn, Institut für Informatik
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- Meinke, Jan (författare)
- Forschungszentrum Julich GmbH, Juelich Supercomputing Centre
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visa fler...
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- Andersson, Måns (författare)
- KTH,Beräkningsvetenskap och beräkningsteknik (CST)
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- Schlatter, Philipp (författare)
- KTH,Turbulent simulations laboratory
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- Markidis, Stefano (författare)
- KTH,Beräkningsvetenskap och beräkningsteknik (CST)
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- Jansson, Niclas, 1983- (författare)
- KTH,Parallelldatorcentrum, PDC
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visa färre...
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(creator_code:org_t)
- Svenska.
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- The never-ending computational demand from simulations of turbulence makes computational fluid dynamics (CFD) a prime application use case for current and future exascale systems. High-order finite element methods, such as the spectral element method, have been gaining traction as they offer high performance on both multicore CPUs and modern GPU-based accelerators. In this work, we assess how high-fidelity CFD using the spectral element method can exploit the modular supercomputing architecture at scale through domain partitioning, where the computational domain is split between GPUs and CPUs. We investigate several different flow cases and computer systems based on the MSA. We observe that for our simulations, the communication overhead and load balancing issues incurred by incorporating different computing architectures are seldom worthwhile, especially when I/O is also considered, but when the simulation at hand requires more than the combined global memory on the GPUs, utilizing additional CPUs to increase the available memory can be fruitful. We support our results with a simple performance model to assess when running across modules might be beneficial. For a smaller supercomputer where the computation takes significant amounts of time on the CPU module, it can be beneficial to also use a GPU module to decrease the execution time significantly.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Strömningsmekanik och akustik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Fluid Mechanics and Acoustics (hsv//eng)
- NATURVETENSKAP -- Matematik -- Beräkningsmatematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Computational Mathematics (hsv//eng)
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