Analysis of a New MPI Process Distribution for the Weather Research and Forecasting (WRF) Model
Joint Authors
Rojo, Tomás
Moreno, R.
Cazorla, D.
Pardo, J. J.
Navarro, A.
Arias, Enrique
Tapiador, Francisco J.
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-17
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The standard method used in the Weather Research and Forecasting (WRF) model for distributing MPI processes across the processors is not always optimal.
This circumstance affects performance, i.e., execution times, but also energy consumption, especially if the application is to be extended to exascale.
The authors found that the reason why the standard method for process distribution is not always optimal was an imbalance between the orthogonality of the communication and the proper cache usage, and this affects energy consumption.
We present an improved MPI process distribution algorithm that increases the performance.
Furthermore, scalability analyses for the new algorithm are presented and the energy use of the system is evaluated.
A solution for balancing energy use with performance is also proposed for cases where the former is a concern.
American Psychological Association (APA)
Moreno, R.& Arias, Enrique& Cazorla, D.& Pardo, J. J.& Navarro, A.& Rojo, Tomás…[et al.]. 2020. Analysis of a New MPI Process Distribution for the Weather Research and Forecasting (WRF) Model. Scientific Programming،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1209130
Modern Language Association (MLA)
Moreno, R.…[et al.]. Analysis of a New MPI Process Distribution for the Weather Research and Forecasting (WRF) Model. Scientific Programming No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1209130
American Medical Association (AMA)
Moreno, R.& Arias, Enrique& Cazorla, D.& Pardo, J. J.& Navarro, A.& Rojo, Tomás…[et al.]. Analysis of a New MPI Process Distribution for the Weather Research and Forecasting (WRF) Model. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1209130
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209130