DocumentCode
692881
Title
A framework for hybrid parallel flow simulations with a trillion cells in complex geometries
Author
Godenschwager, Christian ; Schornbaum, Florian ; Bauer, Matthias ; Kostler, Harald ; Rude, Ulrich
Author_Institution
Friedrich-Alexander-Univ. Erlangen-Nurnberg, Erlangen, Germany
fYear
2013
fDate
17-22 Nov. 2013
Firstpage
1
Lastpage
12
Abstract
waLBerla is a massively parallel software framework for simulating complex flows with the lattice Boltzmann method (LBM). Performance and scalability results are presented for SuperMUC, the world´s fastest x86-based supercomputer ranked number 6 on the Top500 list, and JUQUEEN, a Blue Gene/Q system ranked as number 5. We reach resolutions with more than one trillion cells and perform up to 1.93 trillion cell updates per second using 1.8 million threads. The design and implementation of waLBerla is driven by a careful analysis of the performance on current petascale supercomputers. Our fully distributed data structures and algorithms allow for efficient, massively parallel simulations on these machines. Elaborate node level optimizations and vectorization using SIMD instructions result in highly optimized compute kernels for the single- and two-relaxation-time LBM. Excellent weak and strong scaling is achieved for a complex vascular geometry of the human coronary tree.
Keywords
data structures; flow simulation; lattice Boltzmann methods; mainframes; optimisation; parallel machines; parallel programming; Blue Gene/Q system; JUQUEEN; SIMD instructions; SuperMUC; Top500 list; WALBERLA; complex geometries; complex vascular geometry; data structures; human coronary tree; hybrid parallel flow simulation framework; lattice Boltzmann method; massively parallel software framework; petascale supercomputers; single-relaxation-time LBM; two-relaxation-time LBM; x86-based supercomputer; Computational modeling; Geometry; Kernel; Lattice Boltzmann methods; Load modeling; Supercomputers;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing, Networking, Storage and Analysis (SC), 2013 International Conference for
Conference_Location
Denver, CO
Print_ISBN
978-1-4503-2378-9
Type
conf
DOI
10.1145/2503210.2503273
Filename
6877468
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