Japan Geoscience Union Meeting 2016

Presentation information


Symbol M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI22] Development of computational sciences on planetary formation, evolution and surface environment

Tue. May 24, 2016 9:00 AM - 10:30 AM A07 (APA HOTEL&RESORT TOKYO BAY MAKUHARI)

Convener:*Junichiro Makino(RIKEN AICS), Yoshi-Yuki Hayashi(Department of Planetology/CPS, Graduate School of Science, Kobe University), Shigeru Ida(Department of Earth and Planetary Science, Graduate School of Science and Technology, Tokyo Institute of Technology), Yuri Aikawa(Center for Computational Sciences, University of Tsukuba), Masaki Ogawa(Division of General Systems Studies, Graduate School of Arts and Sciences, University of Tokyo), Masayuki Umemura(Center for Computational Sciences, University of Tsukuba), Chair:Shigeru Ida(Department of Earth and Planetary Science, Graduate School of Science and Technology, Tokyo Institute of Technology)

9:30 AM - 9:45 AM

[MGI22-03] Computational planetary science using FDPS (Framework for Developing Particle simulator)

*Masaki Iwasawa1, Ataru Tanikawa2,1, Natsuki Hosono1, Takayuki Muranushi1, Junichiro Makino4,1,3 (1.RIKEN, 2.The University of Tokyo, 3.Tokyo Institute of Technology, 4.Kobe University)

Keywords:Simulations, Planet formation

Particle-based simulations are widely used in the field of computational astronomy. Examples include the cosmological simulations or the planet-formation simulations with gravitational N body code, the simulations of star and galaxy formation with the Smoothed Particle Hydrodynamics (SPH) code or other particle-based codes, and the simulations of planetesimals formation with the Discrete Element Method (DEM) code. To develop an efficient program for particle-based simulation for large-scale parallel machines computer is not easy, and to some extent the efforts of many researchers have been spent on the programming and tuning. However, the algorithms of particle-based simulations are largely similar. Thus we have developed a framework which helps the researchers to develop efficient programs for particle-based simulation on large parallel machines, which we call Framework for Developing of Particle Simulators, or FDPS.
In this presentation, we introduce concept and implemantaion of FDPS. We also show some applications for planetary science using FDPS.