Peta-scale supercomputers enable us to tackle very large-scale problems of which results provide useful information to understand physical phenomena or to improve performance of a product design. The large-scale simulation is becoming dawn to earth due to parallel computing techniques, however, inherent barriers on the distributed parallel environment are still remains in simulation process, i.e., grid generation, visualization and data analysis. In this paper, the authors would like to clarify the issues to be resolved for productive support environment of the large-scale simulation, and to propose a foundational framework to enhance the utilization of huge computational resources. © 2013 Springer-Verlag.
CITATION STYLE
Ono, K., Kawanabe, T., & Hatada, T. (2013). HPC/PF - High performance computing platform: An environment that accelerates large-scale simulations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7851 LNCS, pp. 23–27). https://doi.org/10.1007/978-3-642-38718-0_5
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