@@ -53,9 +53,30 @@ For each implemented language a library of base templates and classes is require
Architecures represent the way the input JSON structure is interpreted and applied to the selected method template. New architectures can be added for any language by adding new methods for the language of interest in Python.
# Citation:
**Paper**: S. Greenwood, V. Kumar, W. Brewer, “Thermo-fluid modeling framework for supercomputer digital twins: Part 2, automated cooling models.” In Proceedings of the 2024 American Modelica Conference, Mansfield, CT, USA, October 2024.
**Software**: S. Greenwood, V. Kumar, W. Brewer. AutoCSM. Computer Software. https://code.ornl.gov/exadigit/AutoCSM. USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). 13 Sep. 2024. Web. doi:10.11578/dc.20240905.2.
If you use ExaDigiT and AutoCSM in your research, please cite our work:
**ExaDigit**:
@inproceedings{exadigit,
title={ExaDigiT: A Framework for Digital Twins of Liquid-cooled Supercomputers Demonstrating Comprehensive Modeling of Workloads, Power, and Cooling},
author={Brewer, W. and Dash, S. and Maiterth, S. and Greenwood, S. and Shin, W. and Grant, D. and others},
booktitle={SC24: International Conference for High Performance Computing, Networking, Storage and Analysis},
pages={1--18},
year={2024},
organization={IEEE}
}
**AutoCSM**:
@inproceedings{autocsm,
title={Thermo-fluid Modeling Framework for Supercomputer Digital Twins: Part 2, Automated Cooling Models},
author={Greenwood, S. and Kumar, V. and Brewer, W.},
booktitle={America Modelica Conference},
pages={210--219},
year={2024},
organization={Modelica Association}
}
# Authors:
Many thanks to the contributors of ExaDigiT/AutoCSM.\
