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Hirayama, Toshio; Nakajima, Norihiro; Suzuki, Yoshio; Kino, Chiaki; Akutsu, Taku; Teshima, Naoya; Nakajima, Kohei
no journal, ,
Using computational technology in nuclear science and engineering, itself is meaningful and it is a good help for theoretical research as is experimental research and development. For 2007's exhibition in the International Conference for High Performance Computing, Storage, Networking and Analysis, AEGIS as grid computing, PST as Parallel visualization, CDAS for data mining are demonstrated. For simulation tipics, FIESTA as vibrational and structural analysis, material simulation for metal rusting, and bio-informatics as BAAQ for genom data searching are revealed. As French-Japanese research collaboration hosting by JST, matric solving technique are demonstrated.
Kino, Chiaki; Kushida, Noriyuki; Suzuki, Yoshio; Nakajima, Norihiro
no journal, ,
We have conducted research and development of the Cognitive methodology based Data Analysis System (CDAS) which supports researchers to analyze large scale data efficiently and comprehensively. In data analysis, it is important to evaluate the validity of data and judge whether data is meaningful from a scientific viewpoint. Traditionally, the evaluation and judgment have been carried out by humans. However, when the scale of data is extremely large, the evaluation and judgment are beyond the recognition capability of humans. The basic idea of CDAS is that computers execute evaluation and judgment instead of humans. In the present study, we have applied the system to the virtual plant vibration simulator and succeeded in analyzing large scale data reaching to 1TB thoroughly for the first time.