Detail publikace
Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data
JAROŠ, M. JAROŠ, J.
Originální název
Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Complex ultrasound workflows calculating the outcome of ultrasound procedures such as neurostimulation, tumour ablation or photoacoustic imaging are composed of many computational tasks requiring high performance computing or cloud facilities to be computed in a sensible time. Most of these tasks are written as moldable parallel programs being able to run across various numbers of compute nodes. The number of compute nodes assigned to particular tasks strongly affects the overall execution and queuing times of the whole workflow (makespan) as well as the total computational cost.
Klíčová slova
task graph scheduling, workflow, genetic algorithm, moldable
tasks, makespan estimation, performance scaling interpolation
Autoři
JAROŠ, M.; JAROŠ, J.
Vydáno
12. 1. 2023
Nakladatel
Springer Nature Switzerland AG
Místo
Virtual Event
ISBN
978-3-031-22697-7
Kniha
Job Scheduling Strategies for Parallel Processing
Edice
Lecture Notes in Computer Science, LNCS 13592
Strany od
152
Strany do
171
Strany počet
20
URL
BibTex
@inproceedings{BUT180221,
author="Marta {Jaroš} and Jiří {Jaroš}",
title="Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data",
booktitle="Job Scheduling Strategies for Parallel Processing",
year="2023",
series="Lecture Notes in Computer Science, LNCS 13592",
volume="13592",
pages="152--171",
publisher="Springer Nature Switzerland AG",
address="Virtual Event",
doi="10.1007/978-3-031-22698-4\{_}8",
isbn="978-3-031-22697-7",
url="https://www.fit.vut.cz/research/publication/12691/"
}
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