Centers & Labs

RIKEN Center for Computational Science

Particle Simulator Research Team

Team Leader: Junichiro Makino (Ph.D.)
Junichiro  Makino(Ph.D.)

Particle-based simulation is now used in many fields of science, from molecular dynamics simulations to cosmological simulations. In particular, particle-based methods for hydrodynamics such as SPH (Smoothed Particle Hydrodynamics) can treat not only fluid but also solids and their deformation and destruction in a uniform way, and are becoming widely used in engineering applications.

Researchers in the field of astrophysics have been working on large-scale parallelization of particle-based simulation since 1980s, and thus the basic concept of parallelization is well matured. However, such knowledge and technique is far from widespread. In addition, techniques of architecture-dependent optimization of particle-based simulations can in principle be shared by researchers of many different fields, but such sharing is yet to happen.

In order to achieve such a sharing of knowledge and techniques, We have developed and are improving "FDPS" (Framework for Developing Particle Simulator), a common framework for the large-scale parallelization of particle-based simulations.

Main Research Field

Mathematical and physical sciences

Related Research Fields

Informatics / Complex systems / Interdisciplinary science and engineering


  • Large Scale Astrophysical Simulation
  • Computer Architecture
  • High Performance Computing

Selected Publications

  1. Hosono, N., Saitoh, T. R. and Makino, J.:
    "Density-Independent Smoothed Particle Hydrodynamics for a Non-Ideal Equation of State"
    Publications of the Astronomical Society of Japan, 65, 108. (2013)
  2. Tanikawa, A.:
    "Dynamical evolution of stellar mass black holes in dense stellar clusters: estimate for merger rate of binary black holes originating from globular clusters"
    Monthly Notices of the Royal Astronomical Society, 435, 1358-1375. (2013)
  3. Iwasawa, M., Tanikawa, A., Hosono, N., Nitadori, K., Muranushi, T. and Makino, J.:
    "FDPS: a novel framework for developing high-performance particle simulation codes for distributed-memory systems"
    Proceeding of WOLFHPC '15 Proceedings of the 5th International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing, 2015, Article No. 1.(2015)
  4. Rieder, S. and Kenworthy, M. A.:
    "Constraints on the size and dynamics of the J1407b ring system"
    Astronomy & Astrophysics, Volume 596, id.A9, 5 pp (2016)
  5. 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)
  6. 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)
  7. 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)
  8. Saitoh, T. R. and Makino, J.:
    "Santa Barbara Cluster Comparison Test with DISPH"
    The Astrophysical Journal, Volume 823, Issue 2, article id. 144 (2016)
  9. 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)
  10. Yamamoto, S. and Makino, J.:
    "A formulation of consistent particle hydrodynamics in strong form"
    PASJ, 42 pages, 34figures (2017)

Lab Members

Principal Investigator

Junichiro Makino
Team Leader

Core Members

Keigo Nitadori
Research Scientist
Daisuke Namekata
Research Scientist
Masaki Iwasawa
Research Scientist
Yutaka Hirai
Special Postdoctoral Researcher
Kentaro Nomura
Research Associate
Miyuki Tsubouchi
Technical Staff I

Contact information

R401 Research Building
Tel: +81-(0)78-940-5632

Email: jmakino [at]

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