RIKEN Center for Computational Science Particle Simulator Research Team
Team Leader: Junichiro Makino (Ph.D.)
Systems modeled in numerical simulations can be classified as regular grid, irregular grid, and particle systems. As the computational environment evolves, ever larger simulations have become possible. Thus, particle-based methods which can handle complex and dynamically changing shapes without special treatment, have become more important. However, it is a challenge to develop efficient parallel programs for particle-based simulations on large parallel systems such as the supercomputers K or Fugaku. We need to efficiently implement domain decomposition with near-ideal load balancing, exchange particles between domains, and improve interaction calculations of particles in different domains. On the other hand, all parallel particle simulation-programs require these functions.
Consequently, we are developing the Framework for Developing Particle Simulators (FDPS), which can be used to produce any kind of particle-based simulation. FDPS receives particle data structures and functions, evaluates interactions between particles, and generates efficient libraries for parallelization. Thus, users of FDPS can develop their own highly efficient parallel particle simulation-programs without spending large amounts of time, and so can concentrate on realizing their goals.
Main Research Fields
- Mathematical & Physical Sciences
Related Research Fields
- Complex Systems
- Interdisciplinary Science & Engineering
- Large Scale Astrophysical Simulation
- Computer Architecture
- High Performance Computing
- 1.Iwasawa, M., Tanikawa, A., Hosono, N., Nitadori, K., Muranushi, T. and Makino, J.:
"Implementation and performance of FDPS: a framework for developing parallel particle simulation codes"
Publications of the Astronomical Society of Japan, Volume 68, Issue 4, id.54 (2016)
- 2.Hosono, N., Saitoh, T. R., Makino, J., Genda, H. and Ida, S.:
"The giant impact simulations with density independent smoothed particle hydrodynamics"
Icarus, Volume 271, p. 131-157. (2016)
- 3.Hosono, N., Saitoh, T. R. and Makino, J.:
"A Comparison of SPH Artificial Viscosities and Their Impact on the Keplerian Disk"
The Astrophysical Journal Supplement Series, Volume 224, Issue 2, article id. 32 (2016)
- 4.Saitoh, T. R. and Makino, J.:
"Santa Barbara Cluster Comparison Test with DISPH"
The Astrophysical Journal, Volume 823, Issue 2, article id. 144 (2016)
- 5.Hosono, N., Iwasawa, M., Tanikawa, A., Nitadori, K., Muranushi, T. and Makino, J.:
"Unconvergence of Very Large Scale GI Simulations"
Publications of the Astronomical Society of Japan (2016)
- 6.Yamamoto, S. and Makino, J.:
"A formulation of consistent particle hydrodynamics in strong form"
PASJ, Volume 69, 35 (2017)
- 7.Iwasawa, M., Oshino, S., Fujii, M. S., Hori, Y.:
"PENTACLE: Parallelized particle-particle particle-tree code for planet formation"
PASJ, Volume 69, Issue 5, id.81 (2017).
- 8.Namekata, D. et al.:
"Fortran interface layer of the framework for developing particle simulator FDPS"
PASJ, Vol 70, Issue 4, id 70. (2018).
- 9.Karato, S. I.; Hosono, N.; Makino, J.; Saitoh, T. R.:
"Terrestrial magma ocean origin of the Moon"
Nature Geoscience 12, 418-423 (2019).
- 10.Yamamoto, S. and Makino, J.:
"Hermite integrator for high-order mesh-free schemes"
PASJ, Vol 71, Issue 1, id 18. (2019).
Recent Research Results
- Junichiro Makino
- Team Leader
- Daisuke Namekata
- Research Scientist
- Yutaka Hirai
- Special Postdoctoral Researcher
- Miyuki Tsubouchi
- Technical Staff I
R401 Research Building
Email: jmakino [at] riken.jp