Standard
Collecting HPC Applications Processing Characteristics to Facilitate Co-scheduling. / Kuchumov, Ruslan; Korkhov, Vladimir.
Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. ред. / 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. Springer Nature, 2020. стр. 168-182 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12254 LNCS).
Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Harvard
Kuchumov, R & Korkhov, V 2020,
Collecting HPC Applications Processing Characteristics to Facilitate Co-scheduling. в O Gervasi, B Murgante, S Misra, C Garau, I Blecic, D Taniar, BO Apduhan, AMAC Rocha, E Tarantino, CM Torre & Y Karaca (ред.),
Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 12254 LNCS, Springer Nature, стр. 168-182, 20th International Conference on Computational Science and Its Applications, ICCSA 2020, Cagliari, Италия,
1/07/20.
https://doi.org/10.1007/978-3-030-58817-5_14
APA
Kuchumov, R., & Korkhov, V. (2020).
Collecting HPC Applications Processing Characteristics to Facilitate Co-scheduling. в O. Gervasi, B. Murgante, S. Misra, C. Garau, I. Blecic, D. Taniar, B. O. Apduhan, A. M. A. C. Rocha, E. Tarantino, C. M. Torre, & Y. Karaca (Ред.),
Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings (стр. 168-182). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12254 LNCS). Springer Nature.
https://doi.org/10.1007/978-3-030-58817-5_14
Vancouver
Kuchumov R, Korkhov V.
Collecting HPC Applications Processing Characteristics to Facilitate Co-scheduling. в Gervasi O, Murgante B, Misra S, Garau C, Blecic I, Taniar D, Apduhan BO, Rocha AMAC, Tarantino E, Torre CM, Karaca Y, Редакторы, Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. Springer Nature. 2020. стр. 168-182. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-030-58817-5_14
Author
Kuchumov, Ruslan ; Korkhov, Vladimir. /
Collecting HPC Applications Processing Characteristics to Facilitate Co-scheduling. Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. Редактор / 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. Springer Nature, 2020. стр. 168-182 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{8d9d2185c9d94bcc9c3a6d100a1d4149,
title = "Collecting HPC Applications Processing Characteristics to Facilitate Co-scheduling",
abstract = "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.",
keywords = "Co-scheduling, High performance computing, Scheduling theory",
author = "Ruslan Kuchumov and Vladimir Korkhov",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 20th International Conference on Computational Science and Its Applications, ICCSA 2020 ; Conference date: 01-07-2020 Through 04-07-2020",
year = "2020",
doi = "10.1007/978-3-030-58817-5_14",
language = "English",
isbn = "9783030588168",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "168--182",
editor = "Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Chiara Garau and Ivan Blecic and David Taniar and Apduhan, {Bernady O.} and Rocha, {Ana Maria A.C.} and Eufemia Tarantino and Torre, {Carmelo Maria} and Yeliz Karaca",
booktitle = "Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings",
address = "Germany",
url = "http://iccsa.org/",
}
RIS
TY - GEN
T1 - Collecting HPC Applications Processing Characteristics to Facilitate Co-scheduling
AU - Kuchumov, Ruslan
AU - Korkhov, Vladimir
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Co-scheduling
KW - High performance computing
KW - Scheduling theory
UR - http://www.scopus.com/inward/record.url?scp=85092653061&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/50ef4c6c-71e2-3400-8210-27b006992a14/
U2 - 10.1007/978-3-030-58817-5_14
DO - 10.1007/978-3-030-58817-5_14
M3 - Conference contribution
AN - SCOPUS:85092653061
SN - 9783030588168
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 168
EP - 182
BT - Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings
A2 - Gervasi, Osvaldo
A2 - Murgante, Beniamino
A2 - Misra, Sanjay
A2 - Garau, Chiara
A2 - Blecic, Ivan
A2 - Taniar, David
A2 - Apduhan, Bernady O.
A2 - Rocha, Ana Maria A.C.
A2 - Tarantino, Eufemia
A2 - Torre, Carmelo Maria
A2 - Karaca, Yeliz
PB - Springer Nature
T2 - 20th International Conference on Computational Science and Its Applications, ICCSA 2020
Y2 - 1 July 2020 through 4 July 2020
ER -
