Prasanna Balaprakash

Argonne National Laboratory — United States

Computer Science · Physical Sciences

32h-index3.9kcitations289works2.82yr avg
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Research Topics

Parallel Computing and Optimization Techniques(39), Advanced Data Storage Technologies(26), Distributed and Parallel Computing Systems(23), Model Reduction and Neural Networks(23), Machine Learning in Materials Science(23)

Publications289 total

deephyper/deephyper: 0.13.2
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions
Lecture notes in computer science·2025· 1 citedOpen Access
Sequence length scaling in vision transformers for scientific images on frontier
The International Journal of High Performance Computing Applications·2025
HARNESS: Human-Agent Risk Navigation and Event Safety System for Proactive Hazard Forecasting in High-Risk DOE Environments
arXiv (Cornell University)·2025Open Access
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling
2025· 2 citedOpen Access
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models
2025· 1 citedOpen Access
The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science
2025· 1 cited
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling
2025· 2 citedOpen Access
LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology
2025· 1 citedOpen Access
ORCHID: Orchestrated Retrieval-Augmented Classification with Human-in-the-Loop Intelligent Decision-Making for High-Risk Property
arXiv (Cornell University)·2025Open Access
Bridging Speed and Optimality in Job Scheduling: A Hybrid Ant Colony Optimization Approach for Distributed Systems
2025Open Access
Comparing Llama-2 and GPT-3 LLMs for HPC Kernels Generation
Lecture notes in computer science·2025· 1 cited
The Iceberg Index: Measuring Skills-centered Exposure in the AI Economy
arXiv (Cornell University)·2025Open Access
Toward a Generalizable Prediction Model of Molten Salt Mixture Density with Chemistry‐Informed Transfer Learning
ChemPhysChem·2025Open Access
Automated Learning of GNN Ensembles for Predicting Redox Potentials with Uncertainty
2025Open Access
Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science
arXiv (Cornell University)·2025Open Access
PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows
2025· 6 cited
Matrix-free Neural Preconditioner for the Dirac Operator in Lattice Gauge Theory
arXiv (Cornell University)·2025Open Access
The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science
arXiv (Cornell University)·2025Open Access
Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science
2025Open Access
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Frequent Co-authors

Stefan M. Wild(11), Mauro Birattari(10), Thomas Stützle(9), Marco Dorigo(7), Romit Maulik(6), Sandeep Madireddy(6), Paul Hovland(6), Bethany Lusch(4), Mary Hall(4), Boyana Norris(4), Robert Ross(4), Philip Carns(3), Krishnan Raghavan(3), Robert Latham(3), Zhi Yuan(2), Michael Salim(2), Thomas Uram(2), Fangfang Xia(2), Thomas Brettin(2), Cristina García–Cardona(2)