| Issue |
EPJ Web Conf.
Volume 226, 2020
Mathematical Modeling and Computational Physics 2019 (MMCP 2019)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 4 | |
| Section | Mathematical and Computational Support of the Experiments, Computing Tools, and Software Services | |
| DOI | https://doi.org/10.1051/epjconf/202022603002 | |
| Published online | 20 January 2020 | |
https://doi.org/10.1051/epjconf/202022603002
Evolution and Perspectives of the Service for Parallel Applications Running at JINR Multifunctional Information and Computing Complex
Laboratory of Information Technologies, Joint Institute for Nuclear Research,
Dubna,
Russia
★ e-mail: balashov@jinr.ru
★★ e-mail: kut@jinr.ru
★★★ e-mail: pryahinad@jinr.ru
★★★★ e-mail: isokolov@jinr.ru
Published online: 20 January 2020
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.
© 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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