Author:
Balashov Nikita,Bashashin Maxim,Goncharov Pavel,Kuchumov Ruslan,Kutovskiy Nikolay,Kulikov Kiril,Matveev Mikhail,Nechaevskiy Andrey,Ososkov Gennady,Rahmonov Ilkhom,Ilkhom Rahmonov,Ilkhom Rahmonov,Yuri Shukrinov,Ivan Sokolov,Yuri Shukrinov,Oksana Streltsova,Elena Zemlyanaya
Abstract
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.
Reference13 articles.
1. Baranov A.V., Balashov N.A., Kutovskiy N.A., Semenov R.N. JINR cloud infrastructure evolution, PPNL 13, No. 5, 672 (2016)
2. Alexandrov E.I. et al., Research of Acceleration Calculations in Solving Scientific Problems on the Heterogeneous Cluster HybriLIT, RUDN JMISP 4, 30 (2015)
3. Greenfeld D., Greenfeld A. Two Scoops of Django: Best Practices for Django 1.8 (3rd ed.), Publisher: Two Scoops Press, 531
4. Drinkwater D. What is single sign-on? How SSO improves security and the user experience, CSO from IDG (2018)
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献