Abstract
Particle-based simulation strategies such as the smoothed particle hydrodynamics (SPH) and discrete-element method (DEM) approaches are useful in industry and disaster-prevention applications. One of the key problems for a successful large-scale particle-based simulation is energy (electricity) costs. To mitigate this problem, using PEZY-SC many-core microprocessors should provide an effective solution because their power efficiency is good. We have implemented parallelized SPH and DEM codes based on Framework for Developing Particle Simulator (FDPS). Our strategy involves using the PEZY-SC microprocessors as an external accelerator device in an off-load-type implementation in which the interaction kernel is allocated to these microprocessors and a pre/post-processing is performed on the host CPU. Performance tests show good scalability of the computing interaction kernel per number of threads, although a breakdown of calculation costs shows a room for further improvements. Water and granular dam-break tests were also performed on the PEZY-SC system to validate the SPH and DEM codes, respectively.
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