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HPC/PF - High Performance Computing Platform: An Environment That Accelerates Large-Scale Simulations

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High Performance Computing for Computational Science - VECPAR 2012 (VECPAR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7851))

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Abstract

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.

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References

  1. http://www.aics.riken.jp/en/

  2. http://www.ciss.iis.u-tokyo.ac.jp/rss21/en/

  3. Takaki, R., Yamamoto, K., Yamane, T., Enomoto, S., Mukai, J.: The Development of the UPACS CFD Environment. In: Veidenbaum, A., Joe, K., Amano, H., Aiso, H. (eds.) ISHPC 2003. LNCS, vol. 2858, pp. 307–319. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  4. http://vcad-hpsv.riken.jp/en/

  5. Hiraishi, T., Abe, T., Iwashita, T., Nakashima, H.: Xcrypt: a Perl Extension for Job Level Parallel Programming. In: Second International Workshop on High-performance Infrastructure for Scalable Tools WHIST 2012 (Held as part of ICS 2012), Venice, Italy (2012)

    Google Scholar 

  6. https://wci.llnl.gov/codes/visit/

  7. Pike, R., Dorward, S., Griesemer, R., Quinlan, S.: Interpreting the data: Parallel analysis with Sawzall. Scientific Programming Journal 13(4), 227–298 (2005)

    Google Scholar 

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© 2013 Springer-Verlag Berlin Heidelberg

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Ono, K., Kawanabe, T., Hatada, T. (2013). HPC/PF - High Performance Computing Platform: An Environment That Accelerates Large-Scale Simulations. In: Daydé, M., Marques, O., Nakajima, K. (eds) High Performance Computing for Computational Science - VECPAR 2012. VECPAR 2012. Lecture Notes in Computer Science, vol 7851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38718-0_5

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  • DOI: https://doi.org/10.1007/978-3-642-38718-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38717-3

  • Online ISBN: 978-3-642-38718-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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