Numerical approach and parallel implementation for computer simulation of stacked long Josephson Junctions

Bashashin, M. V.; Zemlyanay, Elena Valerievna; Rahmonov, I. R.; Shukrinov, Jury Madjnunovich; Atanasova, Pavlina Christova; Volokhova, A. V.

doi:10.20537/2076-7633-2016-8-4-593-604

Cited by 6 publications

(1 citation statement)

References 13 publications

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“…• "Long Josephson junctions simulation" which allows to simulate Long Josephson junctions using the in-house application [12,13] developed by the collaboration of colleagues from the Bogoliubov Laboratory of Theoretical Physics and the Laboratory of Information Technologies (LIT).…”

Section: Ganglia-based Monitoring Systemmentioning

confidence: 99%

Service for parallel applications based on JINR cloud and HybriLIT resources

et al. 2019

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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 nanoelectronics 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.

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Section: Ganglia-based Monitoring Systemmentioning

confidence: 99%

Service for parallel applications based on JINR cloud and HybriLIT resources

et al. 2019

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Design and Implementation of a Service for Cloud HPC Computations

Kuchumov

Petrunin

Korkhov

et al. 2018

Computational Science and Its Applications – ICCSA 2018

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Evolution and Perspectives of the Service for Parallel Applications Running at JINR Multifunctional Information and Computing Complex

et al. 2020

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Nowadays scientists use cloud computing as a routine tool in a lot of fields of their research. Various Multifunctional Information and Computing Complex (MICC) resources are provided for JINR users to perform a wide range of scientific computations. The JINR cloud service for parallel applications was developed in order to simplify scientists’ work on running similar tasks but on different MICC resources and also to speed up the process of reaching significant results. There are several components with a flexible and modular architecture that allow running a various number of applications using different types of computational resources. The service is constantly developing and improving with the help of the users’ feedback. Some changes in web-interface were made to improve users’ experience: there was added the possibility to choose a certain type of particular application, to set a description for a job, to run multiple tasks, to notify a user about successful job submission and its completion. Moreover, accessibility of job results was reworked: when the job is done, its output is uploaded at the external file storage, where it becomes available at the auto-generated unique URL for downloading by the user and further analysis and/or visualization.

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Numerical approach and parallel implementation for computer simulation of stacked long Josephson Junctions

Cited by 6 publications

References 13 publications

Service for parallel applications based on JINR cloud and HybriLIT resources

Service for parallel applications based on JINR cloud and HybriLIT resources

Design and Implementation of a Service for Cloud HPC Computations

Evolution and Perspectives of the Service for Parallel Applications Running at JINR Multifunctional Information and Computing Complex

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