Sunfall: A Collaborative Visual Analytics System for Astrophysics. - Cecilia R. Aragon; Stephen J. Bailey; Sarah S. Poon; Karl J. Runge; Rollin C. Thomas (IEEE VAST, 2007)

Context-linked virtual assistants for distributed teams: an astrophysics case study. - Sarah S. Poon; Rollin C. Thomas; Cecilia R. Aragon; Brian Lee (CSCW, 2008)

Using visual analytics to maintain situation awareness in astrophysics. - Cecilia R. Aragon; Sarah S. Poon; Gregory S. Aldering; Rollin C. Thomas; Robert Quimby (IEEE VAST, 2008)

Using visual analytics to develop situation awareness in astrophysics. - Cecilia R. Aragon; Sarah S. Poon; Gregory S. Aldering; Rollin C. Thomas; Robert Quimby (Inf. Vis., 2009)

Seeking supernovae in the clouds: a performance study. - Keith R. Jackson; Lavanya Ramakrishnan; Karl J. Runge; Rollin C. Thomas (HPDC, 2010)

Performance and cost analysis of the Supernova factory on the Amazon AWS cloud. - Keith R. Jackson; Krishna Muriki; Lavanya Ramakrishnan; Karl J. Runge; Rollin C. Thomas (Sci. Program., 2011)

Parallelizing Gaussian Process Calculations in R - Christopher J. Paciorek; Benjamin Lipshitz; Wei Zhuo 001; Prabhat; Cari Kaufman; Rollin C. Thomas (CoRR, 2013)

Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference. - Jeffrey Regier; Kiran Pamnany; Ryan Giordano; Rollin C. Thomas; David Schlegel; Jon McAuliffe; Prabhat (CoRR, 2016)

Python in the NERSC Exascale Science Applications Program for Data. - Zahra Ronaghi; Rollin C. Thomas; Jack Deslippe; Stephen Bailey; Doga Gürsoy; Theodore Kisner; Reijo Keskitalo; Julian Borrill (PyHPC@SC, 2017)

Cataloging the Visible Universe Through Bayesian Inference at Petascale. - Jeffrey Regier; Kiran Pamnany; Keno Fischer; Andreas Noack 001; Maximilian Lam; Jarrett Revels; Steve Howard; Ryan Giordano; David Schlegel; Jon McAuliffe; Rollin C. Thomas; Prabhat (IPDPS, 2018)

Interactive Distributed Deep Learning with Jupyter Notebooks. - Steven Andrew Farrell; Aaron Vose; Oliver Evans; Matthew L. Henderson; Shreyas Cholia; Fernando Pérez; Wahid Bhimji; Shane Canon; Rollin C. Thomas; Prabhat (ISC Workshops, 2018)

Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction. - Xiao Wang 004; Venkatesh Sridhar; Zahra Ronaghi; Rollin C. Thomas; Jack Deslippe; Dilworth Parkinson; Gregery T. Buzzard; Samuel P. Midkiff; Charles A. Bouman; Simon K. Warfield (SC, 2019)

Accelerating Experimental Science Using Jupyter and NERSC HPC. - Matthew L. Henderson; William Krinsman; Shreyas Cholia; Rollin C. Thomas; Trevor Slaton (HUST/SE-HER/WIHPC@SC, 2019)

Optimizing Python-Based Spectroscopic Data Processing on NERSC Supercomputers. - Laurie Stephey; Rollin C. Thomas; Stephen J. Bailey (SciPy, 2019)

Cataloging the visible universe through Bayesian inference in Julia at petascale. - Jeffrey Regier; Keno Fischer; Kiran Pamnany; Andreas Noack 001; Jarrett Revels; Maximilian Lam; Steve Howard; Ryan Giordano; David Schlegel; Jon McAuliffe; Rollin C. Thomas; Prabhat (J. Parallel Distributed Comput., 2019)

Cross-facility science with the Superfacility Project at LBNL. - Bjoern Enders; Debbie Bard; Cory Snavely; Lisa Gerhardt; Jason Lee 001; Becci Totzke; Katie Antypas; Suren Byna; Ravi Cheema; Shreyas Cholia; Mark R. Day; Aditi Gaur; et al. (XLOOP@SC, 2020)

Accelerating Spectroscopic Data Processing Using Python and GPUs on NERSC Supercomputers. - Daniel Margala; Laurie Stephey; Rollin C. Thomas; Stephen J. Bailey (SciPy, 2021)

Monitoring Scientific Python Usage on a Supercomputer. - Rollin C. Thomas; Laurie Stephey; Annette Greiner; Brandon Cook 001 (SciPy, 2021)

Scientific Computing With Python on High-Performance Heterogeneous Systems. - Lorena A. Barba; Andreas Klöckner; Prabhu Ramachandran; Rollin C. Thomas (Comput. Sci. Eng., 2021)

Interactive Supercomputing With Jupyter. - Rollin C. Thomas; Shreyas Cholia; Kathryn M. Mohror; John M. Shalf (Comput. Sci. Eng., 2021)

The LBNL Superfacility Project Report. - Deborah Bard; Cory Snavely; Lisa Gerhardt; Jason Lee 001; Becci Totzke; Katie Antypas; William Arndt; Johannes P. Blaschke; Suren Byna; Ravi Cheema; Shreyas Cholia; Mark R. Day; et al. (CoRR, 2022)

A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series. - George Stein; Uros Seljak; Vanessa Böhm; G. Aldering; P. Antilogus; C. Aragon; S. Bailey; C. Baltay; Sébastien Bongard; K. Boone; C. Buton; Y. Copin; et al. (CoRR, 2022)

High-level GPU code: a case study examining JAX and OpenMP. - Nestor Demeure; Theodore Kisner; Reijo Keskitalo; Rollin C. Thomas; Julian Borrill; Wahid Bhimji (SC Workshops, 2023)

Enabling Scientific Collaboration with JupyterHub. - Min Ragan-Kelley; Matthew L. Henderson; Fernando Pérez; Rollin C. Thomas; Shreyas Cholia; Lavanya Ramakrishnan (SC Workshops, 2024)