@inbook{33530b44c93c4cbfbb910658036ad1a6,
title = "Evaluating scientific workflow execution on an asymmetric multicore processor",
abstract = "Asymmetric multicore architectures that integrate different types of cores are emerging as a potential solution for good performance and power efficiency. Although scheduling can be improved by utilizing an appropriate set of cores for the execution of the different jobs, determining frequency configurations is also crucial to achieve both good performance and energy efficiency. This challenge may be more profound with scientific workflow applications that consist of jobs with data dependency constraints. The paper focuses on deploying and evaluating the Montage scientific workflow on an asymmetric multicore platform with the aim to explore CPU frequency configurations with different tradeoffs between execution time and energy efficiency. The proposed approach provides good estimates of workflow execution time and energy consumption for different frequency configurations with an average error of less than 8.63% for time and less than 9.69% for energy compared to actual values.",
author = "Ilia Pietri and Sicong Zhuang and Marc Casas and Miquel Moret{\'o} and Rizos Sakellariou",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-319-75178-8_36",
language = "English",
isbn = "9783319751771",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "439--451",
editor = "Heras, {Dora B.} and Luc Bouge",
booktitle = "Euro-Par 2017",
address = "United States",
note = "International Workshops on Parallel Processing, Euro-Par 2017 ; Conference date: 28-08-2017 Through 29-08-2017",
}
