- LLNL/thicket - A python based performance analysis tool for Exploratory Data Analysis.
- LLNL/thicket-tutorial - A suite of tutorials in executable Jupyter Notebooks, powered by the Binder plantform for interactibility.
- TauferLab/xpsi - A Machine Learning/DeepLearning framework to determine several properties of protein.
- TauferLab/hatchet-tutorial - A suite of Jupyter Notebooks exploring the capabilities of a query language built to analyze call trees formed from performance data.
- Brink S, McKinsey M, Boehme D, Scully-Allison C, Lumsden I, Hawkins D, Burgess T, Lama V, Luettgau J, Isaacs KE, Taufer M. Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees. High-Performance Parallel and Distributed Computing (HPDC 2023). 2023;6(7):23.
- P. Olaya et al., "Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns," 2022 IEEE 18th International Conference on e-Science (e-Science), Salt Lake City, UT, USA, 2022, pp. 21-31, doi: 10.1109/eScience55777.2022.00017.
- I. Lumsden et al., "Enabling Call Path Querying in Hatchet to Identify Performance Bottlenecks in Scientific Applications," 2022 IEEE 18th International Conference on e-Science (e-Science), Salt Lake City, UT, USA, 2022, pp. 256-266, doi: 10.1109/eScience55777.2022.00039.
- Lama, Vanessa, "Interactive Data Analysis of Multi-Run Performance Data. " Master's Thesis, University of Tennessee, 2023. https://trace.tennessee.edu/utk_gradthes/9211