SIParCS PROJECTS
The Summer Internships in Parallel Computational Science (SIParCS) offers students an opportunity to work in CISL to gain significant hands-on experience in high-performance computing and related fields that use HPC for scientific discovery and modeling.
Learn more about the SIParCS internship.
Here is a summary of past ASAP-sponsored SIParCS projects:
- Aditya Dendukuri University of California Santa Barbara "Refactoring the Photolysis Rates Calculator in C++: Performance Evaluation Using Standard Testing and Benchmarking Methodologies" Jian Sun, Matthew Dawson, Kyle Shores, (2024).
- Tri Nguyen Indiana University Bloomington "Autoscaling for HPC Runners" Haiying Xu, Brian Vanderwende, (2024).
- Qina Tan Colorado School of Mines "GPU Enablement of MICM Chemistry Solver" Jian Sun, John Dennis, Matthew Dawson, (2023).
- Si Chen Emory University "Containerization of simulation applications for frequently re-run configurations" Haiying Xu, Sheri Mickelson, Jian Sun, (2023).
- Joe Ammatelli University of Washington "Increasing the portability and reproducibility of a scientific application using containers and Spack" Jian Sun, Brian Vanderwende, John Dennis, (2022).
- Haniye Kashgarani University of Wyoming "Exploring performance of GeoCAT data analysis routines on GPUs" Cena Miller, Supreeth Suresh, Anissa Zacharias, (2022).
- Zephaniah Connell University of Wyoming "Performance Portability of Shallow Water Model with Kokkos" Supreeth Suresh, Cena Miller, Jian Sun, John Dennis, (2021).
- Leila Ghaffari University of Colorado Boulder "Performance Portability of Shallow Water Model with DPC++" Supreeth Suresh, Cena Miller, Jian Sun, John Dennis, (2021).
- Damir Pulatov University of Wyoming "Porting IDL programs into Python for GPU-Accelerated In-situ Analysis" Cena Miller, Supreeth Suresh, (2021).
- Bo Zhang Rutgers University "Evaluation of DataSpaces in Heterogeneous In-situ workflow for GPU-MURaM at Exascale" Cena Miller, Supreeth Suresh, (2021).
- Thomas Johnson III North arolina Agricultural and Technical State University "Employing Machine Learning Models for CESM timing Data" Sheri Mickelson, Brian Dobbins, John Dennis, (2021).
- Shay Liu Indiana University "Analysis of FastEddy Model Data on GPUs" Supreeth Suresh, Cena Miller, (2020).
- [Briley James G. Dylan Dickerson Matthew Stack] University of Wyoming, University of Delaware "Assessing Portability of MOM6 to GPUs Using OpenACC" Supreeth Suresh, Cena Miller, (2020).
- Thomas Hilton Johnson III Elizabeth City State University "CESM Load Balancing Development: Python Scripts for Workflow" Sheri Mickelson, Brian Dobbins, John Dennis, (2020).
- Soudeh Kamali University of Wyoming "CESM Loadbalancing Development-Optimizer Study" Sheri Mickelson, Brian Dobbins, John Dennis, (2020).
- Henry O'Meara University of Wyoming "In-Situ Visualization for Model for Prediction Across Scales (MPAS)" Supreeth Suresh, Matt Rehme, (2019).
- G. Dylan Dickerson University of Wyoming "Porting CESM-MOM6 Model on to Multiple Architectures" Supreeth Suresh, (2019).
- Weile Wei Louisana State University "Using Cloud-Friendly Data Format in Earth System Models" Haiying Xu, John Dennis, Kevin Paul, (2019).
- Lolita Mannik Regis University "Novel Database and Usage Analytics for the CESM2 Climate Model: First Steps to Tracking Configuration and Performance" Brian Dobbins, John Dennis, (2019).
- Rohith Uppala Bridgewater State University "Using Machine-Learning to Simplify the Identification of Code Optimization" John Dennis, Youngsung Kim, (2018).
- Julia Piscioniere College of Charleston "Evaluating the Performance of Large Scale Data Assimilation in Modern Geophysical Models" John Dennis, Brian Dobbins, (2018).