Optimization of Multi-Phase Compressible Lattice Boltzmann Codes on Massively Parallel Multi-Core Systems | Zendy

Luca Biferale | Zendy; Filippo Mantovani | Zendy; M. Pivanti | Zendy; Fabio Pozzati | Zendy; Mauro Sbragaglia | Zendy; Andrea Scagliarini | Zendy; Sebastiano Fabio Schifano | Zendy; Federico Toschi | Zendy; R. Tripiccione | Zendy

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Optimization of Multi-Phase Compressible Lattice Boltzmann Codes on Massively Parallel Multi-Core Systems

Author(s) -

Luca Biferale,

Filippo Mantovani,

M. Pivanti,

Fabio Pozzati,

Mauro Sbragaglia,

Andrea Scagliarini,

Sebastiano Fabio Schifano,

Federico Toschi,

R. Tripiccione

Publication year - 2011

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2011.04.105

Subject(s) - computer science , massively parallel , parallel computing , lattice boltzmann methods , multi core processor , code (set theory) , computational science , compressibility , computational fluid dynamics , physics , mechanics , set (abstract data type) , programming language

We develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for massively parallel systems based on multi-core processors. Our code describes 2D multi-phase compressible flows. We analyze the performance bottlenecks that we find as we gradually expose a larger fraction of the available parallelism, and derive appropriate solutions. We obtain a sustained performance for this ready-for-physics code that is a large fraction of peak. Our results can be easily applied to most present (or planned) HPC architectures, based on latest generation multi-core Intel processor architectures

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