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Performance evaluation of a Parallel Sparse Lattice Boltzmann Solver
KTH, Skolan för datavetenskap och kommunikation (CSC), Centra, Parallelldatorcentrum, PDC.ORCID-id: 0000-0002-6175-3466
Vise andre og tillknytning
2008 (engelsk)Inngår i: Journal of Computational Physics, ISSN 0021-9991, E-ISSN 1090-2716, Vol. 227, nr 10, s. 4895-4911Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

sted, utgiver, år, opplag, sider
2008. Vol. 227, nr 10, s. 4895-4911
Emneord [en]
Sparse lattice Boltzmann, Partitioning, METIS, MPI performance measurements, Optimization, Performance prediction
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-75239DOI: 10.1016/j.jcp.2008.01.013ISI: 000255447000006OAI: oai:DiVA.org:kth-75239DiVA, id: diva2:490358
Merknad
QC 20120214Tilgjengelig fra: 2012-02-05 Laget: 2012-02-05 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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