Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/75640
Title: LiFlow web service for quick launch of large experiment series on supercomputers
Authors: Kuklin, E.
Pravdin, S.
Issue Date: 2018
Publisher: Elsevier B.V.
Citation: Kuklin E. LiFlow web service for quick launch of large experiment series on supercomputers / E. Kuklin, S. Pravdin // Procedia Computer Science. — 2018. — Vol. 136. — P. 44-51.
Abstract: In many fields of research, for example in simulations of living systems, the automatic execution of many numerical experiments with varying parameters is a crucial task. We propose a web-based multiplatform service for launching a series of experiments on a supercomputer. The service interface allows the user to set parameters and run jobs on a supercomputer without working in the command line. The system minimizes the number of user actions required for launching a large series of experiments. Using the built-in database, one of the previously conducted experiments can be picked up and quickly restarted with new settings. We provide the architecture of interaction between a computing cluster, a database, and an external web application, as well as the algorithm for generating tuples from sets of values of individual parameters, and features of the graphical user interface. The system actively carries out computational experiments to study the drift of spiral waves in the myocardium on the Uran supercomputer, Ekaterinburg. © 2018 The Author(s).
Keywords: COMPUTATIONAL EXPERIMENT REPRODUCIBILITY
EXPERIMENT SERIES EXECUTION
GUI
LIVING SYSTEM SIMULATION
PARALLEL COMPUTING SYSTEMS
SUPERCOMPUTERS
BIOLOGICAL SYSTEMS
CLUSTER COMPUTING
GRAPHICAL USER INTERFACES
SUPERCOMPUTERS
WEBSITES
COMPUTATIONAL EXPERIMENT
COMPUTING CLUSTERS
LIVING SYSTEMS
MULTI-PLATFORM SERVICE
NUMERICAL EXPERIMENTS
PARALLEL COMPUTING SYSTEM
REPRODUCIBILITIES
VARYING PARAMETERS
WEB SERVICES
URI: http://hdl.handle.net/10995/75640
metadata.dc.rights: info:eu-repo/semantics/openAccess
Conference name: 7th International Young Scientists Conference on Computational Science, YSC 2018
Conference date: 2 July 2018 through 6 July 2018
RSCI ID: 38702077
SCOPUS ID: 85062296948
WOS ID: 000547808300006
PURE ID: 9185618
ISSN: 1877-0509
DOI: 10.1016/j.procs.2018.08.236
metadata.dc.description.sponsorship: The work is supported by the RSF project 17-71-20024 (IMM UB RAS). The study was performed using the Uran supercomputer of the Krasovskii Institute of Mathematics and Mechanics.
RSCF project card: 17-71-20024
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.