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Performance evaluat...
Performance evaluation of a Parallel Sparse Lattice Boltzmann Solver
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- Axner, Lilit (författare)
- KTH,Parallelldatorcentrum, PDC
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Bernsdorf, Joerg M. (författare)
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Zeiser, Thomas (författare)
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Lammers, Peter (författare)
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Linxweiler, Jan (författare)
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Hoekstra, Alfonsb G. (författare)
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(creator_code:org_t)
- Elsevier BV, 2008
- 2008
- Engelska.
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Ingår i: Journal of Computational Physics. - : Elsevier BV. - 0021-9991 .- 1090-2716. ; 227:10, s. 4895-4911
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- We develop a performance prediction model for a parallelized sparse lattice Boltzmann solver and present performance results for simulations of flow in a variety of complex geometries. A special focus is on partitioning and memory/load balancing strategy for geometries with a high solid fraction and/or complex topology such as porous media, fissured rocks and geometries from medical applications. The topology of the lattice nodes representing the fluid fraction of the computational domain is mapped on a graph. Graph decomposition is performed with both multilevel recursive-bisection and multilevel k-way schemes based on modified Kernighan–Lin and Fiduccia–Mattheyses partitioning algorithms. Performance results and optimization strategies are presented for a variety of platforms, showing a parallel efficiency of almost 80% for the largest problem size. A good agreement between the performance model and experimental results is demonstrated.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- Sparse lattice Boltzmann
- Partitioning
- METIS
- MPI performance measurements
- Optimization
- Performance prediction
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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