6533b860fe1ef96bd12c2f4f
RESEARCH PRODUCT
Efficient mesoscale hydrodynamics: Multiparticle collision dynamics with massively parallel GPU acceleration
Arash NikoubashmanMichael P. HowardAthanassios Z. Panagiotopoulossubject
business.industryComputer scienceMesoscale meteorologyFOS: Physical sciencesGeneral Physics and Astronomy02 engineering and technologyComputational Physics (physics.comp-ph)Condensed Matter - Soft Condensed Matter021001 nanoscience & nanotechnology01 natural sciencesComputational scienceAccelerationSoftwareHardware and Architecture0103 physical sciencesBenchmark (computing)Soft Condensed Matter (cond-mat.soft)Graphics010306 general physics0210 nano-technologybusinessFocus (optics)Physics - Computational PhysicsMassively parallelScalingdescription
Abstract We present an efficient open-source implementation of the multiparticle collision dynamics (MPCD) algorithm that scales to run on hundreds of graphics processing units (GPUs). We especially focus on optimizations for modern GPU architectures and communication patterns between multiple GPUs. We show that a mixed-precision computing model can improve performance compared to a fully double-precision model while still providing good numerical accuracy. We report weak and strong scaling benchmarks of a reference MPCD solvent and a benchmark of a polymer solution with research-relevant interactions and system size. Our MPCD software enables simulations of mesoscale hydrodynamics at length and time scales that would be otherwise challenging or impossible to access.
year | journal | country | edition | language |
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2018-09-01 | Computer Physics Communications |