Publication detail
Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data
JAROŠ, M. JAROŠ, J.
Original Title
Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data
Type
conference paper
Language
English
Original Abstract
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.
Keywords
task graph scheduling, workflow, genetic algorithm, moldable
tasks, makespan estimation, performance scaling interpolation
Authors
JAROŠ, M.; JAROŠ, J.
Released
12. 1. 2023
Publisher
Springer Nature Switzerland AG
Location
Virtual Event
ISBN
978-3-031-22697-7
Book
Job Scheduling Strategies for Parallel Processing
Edition
Lecture Notes in Computer Science, LNCS 13592
Pages from
152
Pages to
171
Pages count
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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