Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
In this paper we describe typical HPC workloads in terms of scheduling theory models. In particular, we cover machine environments that are common for high performance computing (HPC) field, possible objective functions and available jobs characteristics. We also describe resources that are required by HPC applications and how to monitor and control their usage rates. We provide the basis for defining mathematical model for application resource usage and validate it on experimental data.
Original language | English |
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Title of host publication | Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings |
Editors | Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blecic, David Taniar, Bernady O. Apduhan, Ana Maria A.C. Rocha, Eufemia Tarantino, Carmelo Maria Torre, Yeliz Karaca |
Publisher | Springer Nature |
Pages | 168-182 |
Number of pages | 15 |
ISBN (Print) | 9783030588168 |
DOIs | |
State | Published - 2020 |
Event | 20th International Conference on Computational Science and Its Applications, ICCSA 2020 - Cagliari, Italy Duration: 1 Jul 2020 → 4 Jul 2020 http://iccsa.org/ |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12254 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 20th International Conference on Computational Science and Its Applications, ICCSA 2020 |
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Abbreviated title | ICCSA 2020 |
Country/Territory | Italy |
City | Cagliari |
Period | 1/07/20 → 4/07/20 |
Internet address |
ID: 70615173