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https://github.com/e3sm-project/pace

Performance Analytics for Computational Experiments
https://github.com/e3sm-project/pace

analytics performance

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Performance Analytics for Computational Experiments

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README

          

Performance Analytics for Computational Experiments (PACE)
================================================================================

Understanding computational performance of a complex coupled model like the
Energy Exascale Earth System Model (E3SM) poses a singular challenge to domain
and computational scientists. Toward that goal, we developed
PACE (Performance Analytics for Computational Experiments) ,
a web-enabled 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 an executive summary of E3SM experiments' performance.

Documentation
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https://pace-docs.readthedocs.io

Citation
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Please cite the PACE software using the following.

DOI: https://doi.org/10.11578/dc.20230509.1

Chicago
```
Sreepathi, Sarat, KC, Gaurab, Mitchell, Zachary, and Kim, Youngsung. "Performance Analytics for Computational Experiments (PACE)." Computer software. 2023. https://github.com/E3SM-Project/pace. https://doi.org/10.11578/dc.20230509.1.
```
For your convenience, the following BibTeX entry is provided.

```
@misc{pace,
title = {{Performance Analytics for Computational Experiments (PACE)}},
author = {Sreepathi, Sarat and KC, Gaurab and Mitchell, Zachary and Kim, Youngsung},
abstractNote = {Performance Analytics for Computational Experiments (PACE) is an end-to-end performance monitoring infrastructure to summarize performance data collected from Department of Energy’s (DOE) climate model experiments to derive insights and present them through a web portal. PACE automatically captures provenance/timing data from simulations run on DOE supercomputers.},
doi = {10.11578/dc.20230509.1},
url = {https://doi.org/10.11578/dc.20230509.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20230509.1}},
year = {2023},
month = {mar}
}
```