Performance prediction of parallel applications: a systematic literature review
Different techniques for estimating the execution time of parallel applications have been studied for the last 25 years. These approaches have proposed different methods for predicting the performance behaviour of applications. Most of these methods rely on analysing one or more of the following asp...
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| Published in | The Journal of supercomputing Vol. 77; no. 4; pp. 4014 - 4055 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.04.2021
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0920-8542 1573-0484 |
| DOI | 10.1007/s11227-020-03417-5 |
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| Abstract | Different techniques for estimating the execution time of parallel applications have been studied for the last 25 years. These approaches have proposed different methods for predicting the performance behaviour of applications. Most of these methods rely on analysing one or more of the following aspects: system workload, application structure, platform system, and the computing resources that the application needs to perform its operations. These elements are used and applied by different methods such as analytic and non-analytic methods. However, no wide-ranging survey of these approaches exists at the time of writing. This paper presents a systematic review of performance prediction methods for parallel applications, which were published in the open literature during the period 2005–2020. We define a classification framework to categorise the reviewed approaches. In addition, we identify some directions and trends in performance prediction as well as some unsolved issues. |
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| AbstractList | Different techniques for estimating the execution time of parallel applications have been studied for the last 25 years. These approaches have proposed different methods for predicting the performance behaviour of applications. Most of these methods rely on analysing one or more of the following aspects: system workload, application structure, platform system, and the computing resources that the application needs to perform its operations. These elements are used and applied by different methods such as analytic and non-analytic methods. However, no wide-ranging survey of these approaches exists at the time of writing. This paper presents a systematic review of performance prediction methods for parallel applications, which were published in the open literature during the period 2005–2020. We define a classification framework to categorise the reviewed approaches. In addition, we identify some directions and trends in performance prediction as well as some unsolved issues. |
| Author | Duran-Limon, Hector A. Flores-Contreras, Jesus Chavoya, Arturo Almanza-Ruiz, Sergio H. |
| Author_xml | – sequence: 1 givenname: Jesus surname: Flores-Contreras fullname: Flores-Contreras, Jesus organization: University of Guadalajara, CUCEA – sequence: 2 givenname: Hector A. orcidid: 0000-0002-2069-4711 surname: Duran-Limon fullname: Duran-Limon, Hector A. email: hduran@cucea.udg.mx organization: University of Guadalajara, CUCEA – sequence: 3 givenname: Arturo surname: Chavoya fullname: Chavoya, Arturo organization: University of Guadalajara, CUCEA – sequence: 4 givenname: Sergio H. surname: Almanza-Ruiz fullname: Almanza-Ruiz, Sergio H. organization: University of Guadalajara, CUCEA |
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| Copyright | Springer Science+Business Media, LLC, part of Springer Nature 2020 Springer Science+Business Media, LLC, part of Springer Nature 2020. |
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| Keywords | Analytic and non-analytic methods Prediction of execution time Performance prediction of parallel applications Systematic literature review |
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| Title | Performance prediction of parallel applications: a systematic literature review |
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