We overview the current status and future development directions of our framework for developing particle simulator(FDPS).Many of particle-based simulation codes share the same characteristic that the most time-consum...We overview the current status and future development directions of our framework for developing particle simulator(FDPS).Many of particle-based simulation codes share the same characteristic that the most time-consuming part of the simulation is the calculation of the interactions between particles,and a large fraction of programming effort is spent for procedures to make the force calculation efficient,such as the decomposition of computational domain,exchange of particles between domains,exchange of information necessary to calculate the interaction to particles in different domains,and efficient neighbor search.The basic idea of FDPS is to provide generic and high-performance library for these procedures.Using these procedures,researchers or application programmers in various fields can write their programs without taking care of parallelization and performance tuning.In order to make FDPS useful on advanced HPC platforms at present and in(near)future,we investigated its performance on several modern platforms and learned what can be the bottleneck.In this paper we summarize what we learned.展开更多
基金supported by The Large Scale Computational Sciences with Heterogeneous Many-Core Computers in grant-in-aid for High Performance Computing with General Purpose Computers in MEXT(Ministry of Education,Culture,Sports,Science and Technology-Japan),by JSPS KAKENHI Grant Number JP18K11334 and JP18H04596by JAMSTEC,RIKEN,and PEZY Computing,K.K./ExaScaler IncIn this research computational resources of the PEZY-SC2 based systems supercomputer,developed under the Large-scale energy-efficient supercomputer with inductive coupling DRAM interface project of NexTEP program of Japan Science and Technology Agency,has been used.
文摘We overview the current status and future development directions of our framework for developing particle simulator(FDPS).Many of particle-based simulation codes share the same characteristic that the most time-consuming part of the simulation is the calculation of the interactions between particles,and a large fraction of programming effort is spent for procedures to make the force calculation efficient,such as the decomposition of computational domain,exchange of particles between domains,exchange of information necessary to calculate the interaction to particles in different domains,and efficient neighbor search.The basic idea of FDPS is to provide generic and high-performance library for these procedures.Using these procedures,researchers or application programmers in various fields can write their programs without taking care of parallelization and performance tuning.In order to make FDPS useful on advanced HPC platforms at present and in(near)future,we investigated its performance on several modern platforms and learned what can be the bottleneck.In this paper we summarize what we learned.
