Initialising ...
Initialising ...
Initialising ...
Initialising ...
Initialising ...
Initialising ...
Initialising ...
Azumi, Masafumi
Purazuma, Kaku Yugo Gakkai-Shi, 80(5), p.378 - 381, 2004/05
Progress of large scale scientific simulation environment in JAERI is briefly described. The expansion of fusion simulation science have been played a key role in the increasing performances of super computers and computer network system in JAERI. Both scalar parallel and vector parallel computer systems are now working in Naka and Tokai sites respectively and, particle and fluid simulation codes developed under the fusion simulation project, NEXT, are running on each system. The storage grid system has been also successfully developed for the effective visualization analysis by remote users. Fusion research is going to enter the new phase of ITER, and the need for the super computer system with higher performance are increasing more than as ever along with the development of reliable simulation models.
Kato, Katsumi*; Kume, Etsuo
JAERI-Data/Code 2002-019, 116 Pages, 2002/09
no abstracts in English
Muramatsu, Kazuhiro; Sai, Kazunori*
JAERI-Data/Code 2002-017, 101 Pages, 2002/08
A visualization system on the Earth Simulator is developped. The system enables users to see a graphic representation of simulation results on a client terminal simultaneously with them being computed on the Earth Simulator. Moreover, the system makes it possible to change parameters of the calculation and its visualization in the middle of calculation. The graphical user interface of the system is constructed on a Java applet. Consequently, the client only needs a web browser, so it is independent of operating systems. The system consists of a server function, post-processing function and client function. This report describes mainly the usage of the server and post-processing functions.
Nakamura, Hideo; Shibamoto, Yasuteru; Anoda, Yoshinari; Kukita, Yutaka*; Mishima, Kaichiro*; Hibiki, Takashi*
Nuclear Technology, 125(2), p.213 - 224, 1999/02
Times Cited Count:8 Percentile:53.55(Nuclear Science & Technology)no abstracts in English
Kimura, Toyoaki; Kurihara, Kenichi; Kawamata, Yoichi; Akiba, K.*; ; Terakado, Tsunehisa; Yoshino, Ryuji
Fusion Technology, 32(3), p.404 - 415, 1997/11
no abstracts in English
Kunii, Katsuhiko
Flow Visualization and Image Processing 1997, Vol.2, p.592 - 597, 1997/02
no abstracts in English
Takase, Kazuyuki; Kunugi, Tomoaki; Fujii, Sadao*; Shibazaki, Hiroaki*
Flow Visualization Image Process. 1997, 1(00), p.185 - 190, 1997/00
no abstracts in English
Proc. of Joint Int. Conf. on Mathematical Methods and Supercomputing for Nuclear Applications, 1, p.3 - 16, 1997/00
no abstracts in English
; Research Committee on Reactor Physics
JAERI-Conf 96-002, 160 Pages, 1996/02
no abstracts in English
Tsuji, Yoshiyuki*; *; *; *; *; *; Matsubayashi, Masahito; Fujine, Shigenori*
Nuclear Instruments and Methods in Physics Research A, 377, p.148 - 152, 1996/00
Times Cited Count:7 Percentile:55.21(Instruments & Instrumentation)no abstracts in English
*; *; Fujii, Terushige*; *; *; Matsubayashi, Masahito; Tsuruno, Akira
Nuclear Instruments and Methods in Physics Research A, 377, p.156 - 160, 1996/00
Times Cited Count:7 Percentile:55.21(Instruments & Instrumentation)no abstracts in English
*; *; *; *; Matsubayashi, Masahito; Tsuruno, Akira
Nuclear Instruments and Methods in Physics Research A, 377, p.130 - 132, 1996/00
Times Cited Count:1 Percentile:23.5(Instruments & Instrumentation)no abstracts in English
JAERI-Conf 94-002, 154 Pages, 1994/07
no abstracts in English
Hibiki, Takashi*; Mishima, Kaichiro*; Yoneda, Kenji*; Fujine, Shigenori*; Kanda, Keiji*; Nishihara, Hideaki*; Tsuruno, Akira; Matsubayashi, Masahito
Journal of Nuclear Science and Technology, 30(6), p.516 - 523, 1993/06
no abstracts in English
Guo, Z.; Nishida, Akemi; Choi, B.; Nakajima, Norihiro
no journal, ,
In the field of seismic analysis of nuclear facilities, large-scale parallel analyses using numerical models with several hundred millions of DOFs are becoming possible by the recent advances in high-performance parallel computing technologies. In dealing with such three dimensional time series data, the post-processing may be often more difficult than the seismic response simulation itself. The purpose of the current study is to develop a parallel visualization application, which can visualize large-scale simulation results (distributed time series data) effectively. In this report, we show an approach to increase the efficiency of parallel visualization by more than 200 times by using appropriate pre-processing for this kind of large-scale distributed time series data.