Performance Analytics for Computational Experiments (PACE)
Understanding computational performance of a complex coupled climate model like the Energy Exascale Earth System Model (E3SM) poses a singular challenge to domain and computational scientists. Toward that goal, researchers developed PACE (Performance Analytics for Computational Experiments), a framework to summarize performance data collected from E3SM experiments to derive insights and present them through a web portal. The primary goal of PACE is to serve as a central hub of performance data to provide a summary of E3SM experiment performance.
PACE is designed to enable the following capabilities:
- Interactively analysing experiments and application sub-regions,
- Tracking performance benchmarks and simulation campaigns of interest,
- Facilitating performance research on load balancing and process layouts,
- Identifying bottlenecks to inform targeted optimization efforts
The PACE portal provides a powerful search capability, including autocomplete, to select and drill down into experiments of interest. Users can search for experiments pertaining to a specific user or platform, or search for a specific model configuration (compset, grid, or case) or a combination thereof.