Publications (55)
Understanding ML driven HPC: Applications and Infrastructure
Geoffrey Fox, Shantenu Jha
We recently outlined the vision of "Learning Everywhere" which captures the possibility and impact of how learning methods and traditional HPC methods can be coupled together. A pr…
High Performance Dataframes from Parallel Processing Patterns
Niranda Perera, Supun Kamburugamuve, Chathura Widanage +7
The data science community today has embraced the concept of Dataframes as the de facto standard for data representation and manipulation. Ease of use, massive operator coverage, a…
Leveraging Exogenous Signals for Hydrology Time Series Forecasting
Junyang He, Judy Fox, Alireza Jafari +2
Recent advances in time series research facilitate the development of foundation models. While many state-of-the-art time series foundation models have been introduced, few studies…
Generative diffusion model surrogates for mechanistic agent-based biological models
Tien Comlekoglu, J. Quetzalcoatl Toledo-MarÃn, Douglas W. DeSimone +3
Mechanistic, multicellular, agent-based models are commonly used to investigate tissue, organ, and organism-scale biology at single-cell resolution. The Cellular-Potts Model (CPM)…
Report on 2023 CyberTraining PI Meeting, 26-27 September 2023
Geoffrey Fox, Mary P Thomas, Sajal Bhatia +20
This document describes a two-day meeting held for the Principal Investigators (PIs) of NSF CyberTraining grants. The report covers invited talks, panels, and six breakout sessions…
Scientific Machine Learning Benchmarks
Jeyan Thiyagalingam, Mallikarjun Shankar, Geoffrey Fox +1
The breakthrough in Deep Learning neural networks has transformed the use of AI and machine learning technologies for the analysis of very large experimental datasets. These datase…