Name
Abstract | ||
|---|---|---|
We present a study of the performance of the Weather Research and Forecasting [WRF] code under several hardware configurations in an HPC environment. The WRF code is a standard code for weather prediction, used in several fields of science and industry. The metrics used in this case are the execution time of the run and the energy consumption of the simulation obtained with the LIMITLESS monitor, which is the main novelty of this work. With these results, it is possible to quantify the energy savings of WRF run configurations, which include variations in the number of computing nodes and in the number of processes per node. It is found out that a slight increase in the computing time can drive to a noticeable reduction in the energy consumption of the cluster. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-031-04209-6_2 | High Performance Computing |
Keywords | DocType | ISSN |
HPC optimization, WRF, LIMITLESS | Conference | 1865-0929 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bustos Andres | 1 | 0 | 0.34 |
| Cascajo Alberto | 2 | 0 | 0.34 |
| Rubio-Montero Antonio Juan | 3 | 0 | 0.34 |
| García-Bustamante Elena | 4 | 0 | 0.34 |
| Moriñigo José A. | 5 | 0 | 0.34 |
| Singh David E. | 6 | 0 | 0.34 |
| Jesus Carretero | 7 | 239 | 29.04 |
| Mayo-Garcia Rafael | 8 | 0 | 0.34 |