Implementation of SPH and DEM for a PEZY-SC Heterogeneous Many-Core System
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.
KeywordsSPH DEM PEZY-SC Off-load
The authors would like to thank Ryutaro Himeno and Toshikazu Ebisuzaki for using Shoubu system B at RIKEN.
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Computing with General Purpose Computers (Research and development in the next-generation area, Large Scale Computational Sciences with Heterogeneous Many-Core Computers) and Post-K Issue 3 supported by MEXT (Ministry of Education, Culture, Sports, Science and Technology-Japan), and a Grant-in-Aid for Scientific Research (JP18K03815).
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
- 3.Nishiura, D., Sakaguchi, H., Yamamoto, S.: Multibillion particle DEM to simulate centrifuge model tests of geomaterials. In: Proceedings of the 9th International Conference on Physical Modelling in Geotechnics 2018, vol. 1, pp. 227–232 (2018)Google Scholar
- 6.Iwasawa, M., Tanikawa, A., Hosono, N., Nitadori, K., Muranushi, T., Makino, J.: FDPS: a novel framework for developing high-performance particle simulation codes for distributed-memory systems. In: Proceedings of the 5th International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing, WOLFHPC ‘15, pp. 1:1–1:10. ACM, New York, NY, USA (2015)Google Scholar