Development of JAERI Monte Carlo machine and its effective performance

Authors

  • Kenji Higuchi Tokai Research Establishment, JAERI
    Japan
  • Kiroshi Asai Office of International Affairs, JAERI
    Japan
  • Masayuki Akimoto Tokai Research Establishment, JAERI
    Japan
  • Shaw Kambayashi Tokai Research Establishment, JAERI
    Japan
  • Shinji Tokuda Naka Fusion Research Establishment, JAERI
    Japan
  • Yukihiro Hasegawa Nuclear Energy Data Center
    Japan
  • Akira Asami NEC Scientific Information System Development, Ltd.
    Japan
  • Makoto Sasaki The Japan Research Institute, Nuclear Engineering Group, Ltd.
    Japan

Abstract

The JAERI Monte Carlo Machine has been developed mainly to enhance the computational performance of numerical simulations with particle models such as Monte Carlo methods. The features of the JAERI Monte Carlo machine are i) vector processing capability for arithmetic operations, ii) special pipelines for fast vector processing in categorizations of particles, iii) enhanced load/store pipelines for indirectly addressed vector elements, iv) parallel processing capability for spatially and phenomenologically independent particles. This paper describes the design philosophy and architecture of the JAERI Monte Carlo machine and its effective performance through practical applications of the multi-group criticality safety code KENO-IV, the continuous-energy neutron/photon transport code MCNP and other codes for particle simulation.

References

[1] K. Asai et al. Monte Carlo calculations on high speed machines. Prog. Nucl. Energy, 24: 175, 1990.
[2] L.M. Petrie, N.F. Cross. ORNL KENO IV: An improved Monte Carlo criticality program. ORNL 4938, 1975.
[3] LASL Group TD-6. MCNP: A general Monte Carlo code for neutron and photon transport, LA 7996-M, LASL, July, 1978.
[4] L.J. Milton. VIM User's Guide. Applied Physics Division, ANL, June 1981.
[5] M.B. Emmett. The MORSE Monte Carlo radiation transport code system. ORNL 4972, 1975.

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Published

2023-08-31

Issue

pp. 191-204

Section

Articles

How to Cite

Higuchi, K., Asai, K., Akimoto, M., Kambayashi, S., Tokuda, S., Hasegawa, Y., Asami, A., & Sasaki, M. (2023). Development of JAERI Monte Carlo machine and its effective performance. Computer Assisted Methods in Engineering and Science, 1(3-4), 191-204. https://cames3.ippt.pan.pl/index.php/cames/article/view/1521