Publications, Posters and Talks
📚 Conferences and Workshops:
Jeffrey Kelling, Vicente Bolea, Michael Bussmann, Ankush Checkervarty, Alexander Debus, Jan Ebert, Greg Eisenhauer, Vineeth Gutta, Stefan Kesselheim, Scott Klasky, Richard Pausch, Norbert Podhorszki, Franz P.schel, David Rogers, Jeyhun Rustamov, Steve Schmerler, Ulrich Schramm, Klaus Steiniger, René Widera, Anna Willmann, Sunita Chandrasekaran — The Artificial Scientist: In-Transit Machine Learning of Plasma Simulations. Accepted to IPDPS 2025
Jarmusch, A., Cabarcas, F., Pophale, S., Kallai, A., Doerfert, J., Peyralans, L., … & Chandrasekaran, S. (2024, September). CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations. In International Workshop on OpenMP (pp. 111-125). Cham: Springer Nature Switzerland.
Z. Sollenberger, J. Patel, C. Munley, A. Jarmusch, and S. Chandrasekaran, “LLM4VV: Exploring LLM-as-a-Judge for Validation and Verification Testsuites,” SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, 2024, pp. 1885-1893. 🔗 DOI
Wael Elwasif, William Godoy, Nick Hagerty, J Austin Harris, Oscar Hernandez, Balint Joo, Paul Kent, Damien Lebrun-Grandie, Elijah Maccarthy, Veronica Melesse Vergara, Bronson Messer, Ross Miller, Sarp Oral, Sergei Bastrakov, Michael Bussmann, Alexander Debus, Klaus Steiniger, Jan Stephan, Rene Widera, Spencer Bryngelson, Henry Le Berre, Anand Radhakrishnan, Jeffrey Young, Sunita Chandrasekaran, Florina Ciorba, Osman Simsek, Kate Clark, Filippo Spiga, Jeff Hammond, Stone John, David Hardy, Sebastian Keller, Jean-Guillaume Piccinali, Christian Trott — Application experiences on a GPU-accelerated ARM-based HPC testbed. In Proceedings of the HPC Asia 2023 Workshops (pp. 35–49). 2023. 🔗 DOI
Scott Atchley, Christopher Zimmer, John Lange, …, Sunita Chandrasekaran, …, P. K. Yeung T. — Frontier: Exploring Exascale. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC23 (pp. 1–16), 2023
Felix Meyer, Benjamin Hernandez, Richard Pausch, René Widera, David Groß, Sergei Bastrakov, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, David Rogers, Ulrich Schramm, Klaus Steiniger, Stefan Gumhold, Jeff Young, Michael Bussmann, Sunita Chandrasekaran, Alexander Debus — Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), pp. 1–14. 2023. 🔗 DOI
Eric Wright, Cena Brown, Damien Przybylski, Matthias Rempel, Supreet Suresh, Sunita Chandrasekaran — Analysis of MURaM, a Solar Physics Application, for Scalability, Performance and Portability. In Proceedings of SC'23 Workshops (pp. 1929–1938). 2023
Wael Elwasif, William Godoy, Nick Hagerty, et al. — Application experiences on a GPU-accelerated ARM-based HPC testbed. In Proceedings of HPC Asia 2023 Workshops (pp. 35–49). 2023
Atchley, S., Zimmer, C., Lange, J., et al. — Frontier: Exploring Exascale. In Proceedings of SC (pp. 1–16). November 2023
Meyer, Felix, Benjamin Hernandez, Richard Pausch, et al. — Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. In Proceedings of the Platform for Advanced Scientific Computing Conference, pp. 1–14. 2023
Eric Wright, Johannes Doerfert, Shilei Tian, Barbara Chapman, Sunita Chandrasekaran — Implementing OpenMP’s SIMD Directive in LLVM’s GPU Runtime. ICPP 2023. 🔗 DOI
T. Huber et al., “ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP,” 2022 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC), Dallas, TX, USA, 2022, pp. 123-135. 🔗 DOI
📰 Journals:
Munley C, Jarmusch A, Chandrasekaran S — LLM4VV: Developing LLM-driven testsuite for compiler validation. Future Generation Computer Systems, 160, 1–13 (2024). 🔗 DOI
Gutta V, Ganakammal SR, Jones S, Beyers M, Chandrasekaran S — UNNT: A Novel Utility for Comparing Neural Net and Tree-Based Models. PLOS Computational Biology, 20(4): e1011504 (2024). 🔗 DOI
Mauricio H Ferrato, Adam G Marsh, et al. — ML Classifier Approaches for Predicting Response to RTK-Type-III Inhibitors. Bioinformatics Advances (2023). 🔗 DOI
Steiniger, K., Widera, R., Bastrakov, S., et al. — EZ: An Efficient, Charge Conserving Current Deposition Algorithm. Computer Physics Communications, 291, 108849 (2023)
Leinhauser, M., Widera, R., Bastrakov, S., et al. — Instruction Roofline Model for AMD GPUs. ACM Transactions on Parallel Computing, 9(1), Article No. 1 (2022). 🔗 DOI
📋 Technical Reports:
Jarmusch, A., Baker, N., Chandrasekaran, S. — Using Jetstream for OpenMP Offloading and OpenACC Testsuites. 📝 Read on ScholarWorks
Ferrato, M., Crowgey, E., Chandrasekaran, S. — ML Framework for Classification of Patient Cohorts Using Genomics. AMIA 2020. 📝 AMIA Link
Leinhauser, M., et al. — CAAR for Frontier – NVProf on Summit. University of Delaware. 📝 PDF
🪧 Posters:
- Kallai, A., Nguyen, K., Paehler, L., et al. — IR Around the World: Multi-Language Corpus of IR. Euro LLVM 2024, Vienna
- Munley, C., Jarmusch, A.M., Chandrasekaran, S. — LLM4VV: Compiler Validation with LLMs. DARWIN Computing Symposium 2024
🎤 Talks (by students):
- Fabian Mora — XBLang: An Extensible MLIR Frontend. Euro LLVM 2024, Vienna
- Eric Wright — OpenMP SIMD Directive in LLVM GPU Runtime. ICPP 2023, Utah
- Christian Munley, Aaron Jarmusch — OpenACC V&V Testsuite. OpenACC Webinar, Dec 2023
- Aaron Jarmusch — OpenACC Validation & Verification Testsuite. WACCPD Workshop and ACM Poster Competition @ SC22, Dallas, 2022
- Eric Wright — Refactoring the MURaM Model for GPU/CPU Portability Using OpenACC. PASC 2021 (Virtual)
- Matthew Leinhauser — Designing an Instruction Roofline Model for AMD GPUs. CASUS, Görlitz, Germany, July 2021 (Virtual)
- Eric Wright — Accelerating Solar Physics Application MURaM for GPU. NCAR, Boulder, CO, Sept 2019
- Robert Searles — Creating Language Extensions for Complex Parallel Patterns. NCAR, Boulder, CO, March 2019
- Sanhu Li, Sunita Chandrasekaran — Using OpenACC for NGS Techniques to Create a Portable Code Base. GTC 2017 🔗 Link
- Arnov Sinha, Sunita Chandrasekaran — Using OpenACC to Parallelize Irregular Algorithms on GPUs. GTC 2017 🔗 Link