Detail publikačního výsledku

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

Anglický název

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

Druh

Stať ve sborníku v databázi WoS či Scopus

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.

Anglický 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

Klíčová slova v angličtině

task graph scheduling, workflow, genetic algorithm, moldable
tasks, makespan estimation, performance scaling interpolation

Autoři

JAROŠ, M.; JAROŠ, J.

Rok RIV

2024

Vydáno

12.01.2023

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

Svazek

13592

Strany od

152

Strany do

171

Strany počet

20

URL

https://www.fit.vut.cz/research/publication/12691/

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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