Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2007-01-11
Computer Science
Distributed, Parallel, and Cluster Computing
6 pages, 9 figures, proceedings of the 2nd IEEE/ACM international workshop on high performance computing for nano-science and
Scientific paper
We present our perspective and goals on highperformance computing for nanoscience in accordance with the global trend toward "peta-scale computing." After reviewing our results obtained through the grid-enabled version of the fragment molecular orbital method (FMO) on the grid testbed by the Japanese Grid Project, National Research Grid Initiative (NAREGI), we show that FMO is one of the best candidates for peta-scale applications by predicting its effective performance in peta-scale computers. Finally, we introduce our new project constructing a peta-scale application in an open-architecture implementation of FMO in order to realize both goals of highperformance in peta-scale computers and extendibility to multiphysics simulations.
Aoyagi Mutsumi
Honda Hiroaki
Inadomi Yuichi
Kobayashi Taizo
Maki Jun
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