Parallel Algorithm for Cell Dynamics Simulation of Soft Nano-Structured Matter
Xiaohu Guo (),
Marco Pinna () and
Andrei V. Zvelindovsky ()
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Xiaohu Guo: School of Computing, Engineering and Physical Sciences, niversity of Central Lancashire Preston
Marco Pinna: School of Computing, Engineering and Physical Sciences, niversity of Central Lancashire Preston
Andrei V. Zvelindovsky: School of Computing, Engineering and Physical Sciences, niversity of Central Lancashire Preston
A chapter in Parallel Scientific Computing and Optimization, 2009, pp 253-262 from Springer
Abstract:
Abstract Cell dynamics simulation is a very promising approach to model dynamic processes in block copolymer systems at the mesoscale level. A parallel algorithm for large-scale simulation is described in detail. Several performance tuning methods based on SGI Altix are introduced. With the efficient strategy of domain decomposition and the fast method of neighboring points location, we greatly reduce the calculating and communicating cost and successfully perform simulations of large-scale systems with up to 5123 grids. The algorithm is implemented on 32 processors with the speedup of 28.4 and the efficiency of 88.9%.
Keywords: Block Copolymer; Parallel Algorithm; Diblock Copolymer; Message Passing Interface; Ghost Point (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-09707-7_22
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DOI: 10.1007/978-0-387-09707-7_22
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