Interoperability Between UNICORE and ITBL

Suzuki, Yoshishige; Takahiro, Minami; Tani, Masayuki; Nakajima, N.; Keller, Rainer; Beisel, Thomas

doi:10.1007/978-3-540-71351-7_47

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…2-4) Grid connection API These consist of a set of the previous APIs: Currently the connection between Globus, NAREGI, ITBL, UNICORE (16) and DIET (17) has been established.…”

Section: Client Api Of Itbl-ismentioning

confidence: 99%

Development of Three-dimensional Virtual Plant Vibration Simulator on Grid Computing Environment ITBL-IS/AEGIS

Suzuki

Nishida

Araya

et al. 2009

JPES

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Center for computational science and e-systems of Japan Atomic Energy Agency is carrying out R&D in the area of extra large-scale simulation technologies for solving nuclear plant structures in its entirety. Specifically, we focus on establishing a virtual plant vibration simulator on inter-connected supercomputers intended for seismic response analysis of a whole nuclear plant. The simulation of a whole plant is a very difficult task because an extremely large dataset must be processed. To overcome this difficulty, we have proposed and implemented a necessary simulation framework and computing platform. The computing platform enables an extra large-scale whole nuclear plant simulation to be carried out on a grid computing platform called ITBL-IS, Information Technology Based Laboratory Infrastructure and AEGIS, Atomic Energy Grid Infrastructure. The simulation framework based on the computing platform has been applied to a linear elastic analysis of the reactor pressure vessel and cooling systems of the nuclear research facility, HTTR. The simulation framework opens a possibility of new simulation technologies for building a whole virtual nuclear plant in computers for virtual experiments.

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“…2-4) Grid connection API These consist of a set of the previous APIs: Currently the connection between Globus, NAREGI, ITBL, UNICORE (16) and DIET (17) has been established.…”

Section: Client Api Of Itbl-ismentioning

confidence: 99%