Abstract
We started a feasibility study of high-end computing systems as a 2-year national project in 2012 for exa-scale computing era. In order to realize the exa-scale system, it is extremely important to design a large scale storage system with high bandwidth.We made a conceptual design of a mass storage system with high-speed I/O technology by studying future I/O requirements from simulations for disaster prevention and mitigation research. We concluded that a distributed and parallel file system with multiple meta-data servers is required, because a meta-data server (MDS) using in the Lustre file system is apparently insufficient to handle a large scale file system. In this paper, the storage system architecture and its performance are presented.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kobayashi, H.: Feasibility study of a future HPC system for memory-intensive applications: final report. In: Sustained Simulation Performance 2014. Springer, Berlin (2014)
“Lustre”: http://wiki.lustre.org (2014)
Acknowledgements
The authors wish to thank Prof. Hiroaki Kobayashi of Tohoku University for leading this project. This project is supported by Ministry of Education, Culture, Sports, Science and Technology of Japan.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Itakura, K., Yamashita, A., Satake, K., Uehara, H., Uno, A., Yokokawa, M. (2015). Feasibility Study of a Future HPC System for Memory Intensive Applications: Conceptual Design of Storage System. In: Resch, M., Bez, W., Focht, E., Kobayashi, H., Patel, N. (eds) Sustained Simulation Performance 2014. Springer, Cham. https://doi.org/10.1007/978-3-319-10626-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-10626-7_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10625-0
Online ISBN: 978-3-319-10626-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)