FDPS: a novel framework for developing high-performance particle simulation codes for distributed-memory systems

M. Iwasawa, A. Tanikawa, N. Hosono, Keigo Nitadori, T. Muranushi, J. Makino
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引用次数: 9

Abstract

We have developed FDPS (Framework for Developing Particle Simulator), which enables researchers and programmers to develop high-performance particle simulation codes easily. The basic idea of FDPS is to separate the program code for complex parallelization including domain decomposition, redistribution of particles, and exchange of particle information for interaction calculation between nodes, from actual interaction calculation and orbital integration. FDPS provides the former part and the users write the latter. Thus, a user can implement, for example, a high-performance N- body code, only in 120 lines. In this paper, we present the structure and implementation of FDPS, and describe its performance on two sample applications: gravitational N-body simulation and Smoothed Particle Hydrodynamics simulation. Both codes show very good parallel efficiency and scalability on the K computer. FDPS lets the researchers concentrate on the implementation of physics and mathematical schemes, without wasting their time on the development and performance tuning of their codes.
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FDPS:为分布式存储系统开发高性能粒子模拟代码的新框架
我们开发了FDPS(开发粒子模拟器框架),使研究人员和程序员能够轻松开发高性能的粒子模拟代码。FDPS的基本思想是将复杂并行化的程序代码(包括域分解、粒子重分配、节点间相互作用计算的粒子信息交换)与实际相互作用计算和轨道积分分离。前者由FDPS提供,后者由用户编写。因此,用户可以实现,例如,一个高性能的N体代码,只有120行。在本文中,我们介绍了FDPS的结构和实现,并描述了它在两个示例应用中的性能:重力n体模拟和光滑粒子流体动力学模拟。这两个代码在K计算机上显示了非常好的并行效率和可扩展性。FDPS让研究人员专注于物理和数学方案的实现,而不用把时间浪费在代码的开发和性能调整上。
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