Difference between revisions of "NorESM code analysis"
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|fields=Climate research | |fields=Climate research | ||
|financing=SNIC | |financing=SNIC | ||
| − | |active= | + | |active=No |
|start date=2014-10-01 | |start date=2014-10-01 | ||
|end date=2014-12-31 | |end date=2014-12-31 | ||
}} | }} | ||
| − | The project aims to understand the performance of the NorESM | + | The [[Media:Juan-camilo_acosta_v2.0.pdf|project aims]] to understand the performance of the NorESM code. We will: |
| − | code. We will: | ||
* Review the MPI pe mapping of the different sub-models (atmosphere, land, sea ice and ocean) currently used for model simulations. | * Review the MPI pe mapping of the different sub-models (atmosphere, land, sea ice and ocean) currently used for model simulations. | ||
* Analyze the NorESM code to identify code sections and routines to be further evaluated for performance optimization. We will do this by running suitable test cases through analysis tools such as Scalasca and VTune. | * Analyze the NorESM code to identify code sections and routines to be further evaluated for performance optimization. We will do this by running suitable test cases through analysis tools such as Scalasca and VTune. | ||
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== Report == | == Report == | ||
| − | The final report with guidelines for performance improvement is submitted to the users | + | The final [[Media:report.pdf|report]] with guidelines for performance improvement is submitted to the users |
Latest revision as of 09:31, 13 October 2015
| Name | NorESM code analysis |
|---|---|
| Description | Complete performance profiling of the Norwegian Earth System Model (NorESM) on Triolith. |
| Project financing | SNIC |
| Is active | No |
| Start date | 2014-10-01 |
| End date | 2014-12-31 |
The project aims to understand the performance of the NorESM code. We will:
- Review the MPI pe mapping of the different sub-models (atmosphere, land, sea ice and ocean) currently used for model simulations.
- Analyze the NorESM code to identify code sections and routines to be further evaluated for performance optimization. We will do this by running suitable test cases through analysis tools such as Scalasca and VTune.
- Propose a set of recommendations for code optimization changes based on the performance analysis.
Members
| Centre | Role | Field | |
|---|---|---|---|
| Chandan Basu (NSC) | NSC | Application expert | Computational science |
Report
The final report with guidelines for performance improvement is submitted to the users
