Result Details
Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data
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.
task graph scheduling, workflow, genetic algorithm, moldable
tasks, makespan estimation, performance scaling interpolation
@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/"
}
Návrh, optimalizace a evaluace aplikačně specifických počítačových systémů, BUT, Vnitřní projekty VUT, FIT-S-20-6309, start: 2020-03-01, end: 2023-02-28, completed