| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 07034 | |
| Number of page(s) | 7 | |
| Section | 7 - Facilities, Clouds and Containers | |
| DOI | https://doi.org/10.1051/epjconf/202024507034 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024507034
External Resources: Clouds and HPCs for the expansion of the ATLAS production system at the Tokyo regional analysis center
International Center for Elementary Particle Physics, The University of Tokyo
* e-mail: kaneda@icepp.s.u-tokyo.ac.jp
Copyright 2020 CERN for the benefit of the ATLAS Collaboration. CC-BY-4.0 license.
Published online: 16 November 2020
The Tokyo regional analysis center at the International Center for Elementary Particle Physics, the University of Tokyo, is one of the Tier 2 sites for the ATLAS experiment in the Worldwide LHC Computing Grid. The current system has 10,752 CPU cores and 16 PB disk storage. CERN plans the HighLuminosity LHC starting from 2026, which increases the peak luminosity by 5 times compared to the present value at the LHC. A shortage of computing resources for the high-luminosity LHC is expected with the current system. Therefore new ideas to expand the system are necessary. To expand the ATLAS production system at the Tokyo regional analysis center, R&D using external resources has been launched. One kind of external resources is a commercial cloud resource, such as Google Cloud Platform. Another resource is the HighPerformance Computer (HPC) at the University of Tokyo. In this contribution, the current status of the R&D, the systems for these resources, and comparisons of the cost are reported.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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