| Autor: |
Balashov Nikita, Bashashin Maxim, Goncharov Pavel, Kuchumov Ruslan, Kutovskiy Nikolay, Kulikov Kiril, Matveev Mikhail, Nechaevskiy Andrey, Ososkov Gennady, Rahmonov Ilkhom, Ilkhom Rahmonov, Yuri Shukrinov, Ivan Sokolov, Oksana Streltsova, Elena Zemlyanaya |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
EPJ Web of Conferences, Vol 214, p 07012 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2100-014X |
| DOI: |
10.1051/epjconf/201921407012 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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