We are happy to announce the launch of the ACCESS-NRI Model Scaling Repository.
What is the ACCESS-NRI Model Scaling Repository?
The ACCESS-NRI Model Scaling Repository is a collection of Jupyter Notebooks that generate and display scaling data for ACCESS-NRI models.
We expect this data to be useful to both users and developers. It can be used to guide decisions about parallelisation layouts and CPU core counts when developing model configurations in order to ensure good balance between performance and parallel efficiency. It can also help identifying areas where models can be improved and optimised. Finally, the provided plots and tables can be used in NCMAS applications and other similar merit allocation schemes when requesting HPC resources.
Currently the repository includes scaling data for the following models:
We expect to regularly add new models to this list and update the existing notebooks when new versions of the models are available.
What should I do to be notified of any updates?
You can “watch” this topic (click the bell icon to the right - see full instructions here) to be notified by email of every update.
What is not included in these notebooks?
The notebooks do not include any type of resource usage estimate, like SUs per model year, as this information can strongly depend on the actual configuration being used. For ACCESS-NRI configurations, this information can sometimes be found in the release notes. If this information is not available, or you do not know how to obtain it, we suggest opening a new help request here on the ACCESS-Hive Forum.
Where do I ask questions?
Replies to this topic are disabled.
We welcome feedback and contributions here through the ACCESS-Hive Forum. Please create a help request in the Technical category and follow the guidelines for requesting help from ACCESS-NRI should you need it. Alternatively, if you are more comfortable with GitHub, you can open an issue in the scaling repository on GitHub instead of a help request on the Forum.