Publications per year
Publications per year
Overview
Education/Academic qualification
Comp-Computer Science & Engineering, Doctorate Degree
Fingerprint
Dive into the research topics where Prasanna Balaprakash is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Researcher collaborations from the last five years
Based on publications and projects (not datasets). Dive into details by clicking on the dots or
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Advancing anomaly detection in computational workflows with active learning
Raghavan, K., Papadimitriou, G., Jin, H., Mandal, A., Kiran, M., Balaprakash, P. & Deelman, E., May 2025, In: Future Generation Computer Systems. 166, 107608.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Bayesian Optimized Deep Ensemble for Uncertainty Quantification of Deep Neural Networks: a System Safety Case Study on Sodium Fast Reactor Thermal Stratification Modeling
Abulawi, Z., Hu, R., Balaprakash, P. & Liu, Y., Dec 2025, In: Reliability Engineering and System Safety. 264, 111353.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning
Landreman, M., Choi, J. Y., Alves, C., Balaprakash, P., Churchill, M., Conlin, R. & Roberg-Clark, G., Aug 7 2025, In: Journal of Plasma Physics. 91, 4, E120.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Integrating ytopt and libEnsemble to autotune OpenMC
Wu, X., Tramm, J. R., Larson, J., Navarro, J. L., Balaprakash, P., Videau, B., Kruse, M., Hovland, P., Taylor, V. & Hall, M., Jan 2025, In: International Journal of High Performance Computing Applications. 39, 1, p. 79-103 25 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Is In-Context Learning Feasible for HPC Performance Autotuning?
Randall, T., Bondapalli, A., Ge, R. & Balaprakash, P., 2025, Proceedings - 2025 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2025. Institute of Electrical and Electronics Engineers Inc., p. 978-985 8 p. (Proceedings - 2025 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Datasets
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HydraGNN_Predictive_GFM_2024 - Ensemble of predictive graph foundation models for ground state atomistic materials modeling
Lupo Pasini, M. (Creator), Choi, J. Y. (Creator), Mehta, K. (Creator), Zhang, P. (Creator), Rogers, D. (Creator), Bae, J. (Creator), Ibrahim, K. (Creator), Aji, A. (Creator), Schulz, K. W. (Creator), Polo, J. (Creator) & Balaprakash, P. (Creator), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), Nov 1 2024
Dataset