Detail výsledku

Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data

JAROŠ, M.; JAROŠ, J. Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data. In Job Scheduling Strategies for Parallel Processing. Lecture Notes in Computer Science, LNCS 13592. Virtual Event: Springer Nature Switzerland AG, 2023. p. 152-171. ISBN: 978-3-031-22697-7.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
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

Rok
2023
Strany
152–171
Sborník
Job Scheduling Strategies for Parallel Processing
Řada
Lecture Notes in Computer Science, LNCS 13592
Svazek
13592
Konference
25th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2022)
ISBN
978-3-031-22697-7
Vydavatel
Springer Nature Switzerland AG
Místo
Virtual Event
DOI
UT WoS
000972597400009
EID Scopus
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/"
}
Soubory
Projekty
Akcelerace vybraných evolučních výpočetních technik pro řešení úloh globální optimalizace., VUT, Vnitřní projekty VUT, FIT/FSI-J-22-7980, zahájení: 2022-03-01, ukončení: 2023-02-28, ukončen
Návrh, optimalizace a evaluace aplikačně specifických počítačových systémů, VUT, Vnitřní projekty VUT, FIT-S-20-6309, zahájení: 2020-03-01, ukončení: 2023-02-28, ukončen
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