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Procedia Computer Science
Article . 2018 . Peer-reviewed
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Procedia Computer Science
Article
License: CC BY NC ND
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LiFlow web service for quick launch of large experiment series on supercomputers

Authors: Kuklin, E.; Pravdin, S.;

LiFlow web service for quick launch of large experiment series on supercomputers

Abstract

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.

Keywords

LIVING SYSTEM SIMULATION, PARALLEL COMPUTING SYSTEM, VARYING PARAMETERS, CLUSTER COMPUTING, NUMERICAL EXPERIMENTS, GRAPHICAL USER INTERFACES, COMPUTATIONAL EXPERIMENT REPRODUCIBILITY, COMPUTATIONAL EXPERIMENT, SUPERCOMPUTERS, REPRODUCIBILITIES, EXPERIMENT SERIES EXECUTION, PARALLEL COMPUTING SYSTEMS, GUI, WEBSITES, COMPUTING CLUSTERS, MULTI-PLATFORM SERVICE, BIOLOGICAL SYSTEMS, WEB SERVICES, LIVING SYSTEMS

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green
gold