| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 07012 | |
| Number of page(s) | 8 | |
| Section | T7 - Clouds, virtualisation & containers | |
| DOI | https://doi.org/10.1051/epjconf/201921407012 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921407012
Service for parallel applications based on JINR cloud and HybriLIT resources
1
Joint Institute for Nuclear Research,
Dubna,
Russia
2
Saint Petersburg State University,
Saint Petersburg,
Russia
* e-mail: isokolov@jinr.ru
Published online: 17 September 2019
Cloud computing has become a routine tool for scientists in many fields. The JINR cloud infrastructure provides JINR users with computational resources to perform various scientific calculations. In order to speed up achievements of scientific results the JINR cloud service for parallel applications has been developed. It consists of several components and implements a flexible and modular architecture which allows to utilize both more applications and various types of resources as computational backends. An example of using the Cloud&HybriLIT resources in scientific computing is the study of superconducting processes in the stacked long Josephson junctions (LJJ). The LJJ systems have undergone intensive research because of the perspective of practical applications in nano-electronics and quantum computing. In this contribution we generalize the experience in application of the Cloud&HybriLIT resources for high performance computing of physical characteristics in the LJJ system.
© The Authors, published by EDP Sciences, 2019
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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