Rollin C. Thomas

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 16

Top Topics

Bayesian Inference

Top Venues

Comput. Sci. Eng.

Publications

Nestor Demeure, Theodore Kisner, Reijo Keskitalo, Rollin C. Thomas, Julian Borrill, Wahid Bhimji
High-level GPU code: a case study examining JAX and OpenMP. SC Workshops (2023)
Deborah Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Becci Totzke, Katie Antypas, William Arndt, Johannes P. Blaschke, Suren Byna, Ravi Cheema, Shreyas Cholia, Mark R. Day, Bjoern Enders, Aditi Gaur, Annette Greiner, Taylor Groves, Mariam Kiran, Quincey Koziol, Tom Lehman, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Laurie Stephey, Rollin C. Thomas, Gabor Torok
The LBNL Superfacility Project Report. CoRR (2022)
Rollin C. Thomas, Laurie Stephey, Annette Greiner, Brandon Cook
Monitoring Scientific Python Usage on a Supercomputer. SciPy (2021)
Lorena A. Barba, Andreas Klöckner, Prabhu Ramachandran, Rollin C. Thomas
Scientific Computing With Python on High-Performance Heterogeneous Systems. Comput. Sci. Eng. 23 (4) (2021)
Rollin C. Thomas, Shreyas Cholia, Kathryn Mohror, John M. Shalf
Interactive Supercomputing With Jupyter. Comput. Sci. Eng. 23 (2) (2021)
Daniel Margala, Laurie Stephey, Rollin C. Thomas, Stephen J. Bailey
Accelerating Spectroscopic Data Processing Using Python and GPUs on NERSC Supercomputers. SciPy (2021)
Bjoern Enders, Debbie Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Becci Totzke, Katie Antypas, Suren Byna, Ravi Cheema, Shreyas Cholia, Mark R. Day, Aditi Gaur, Annette Greiner, Taylor Groves, Mariam Kiran, Quincey Koziol, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Rollin C. Thomas, Gabor Torok
Cross-facility science with the Superfacility Project at LBNL. XLOOP@SC (2020)
Xiao Wang, Venkatesh Sridhar, Zahra Ronaghi, Rollin C. Thomas, Jack Deslippe, Dilworth Parkinson, Gregery T. Buzzard, Samuel P. Midkiff, Charles A. Bouman, Simon K. Warfield
Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction. SC (2019)
Laurie Stephey, Rollin C. Thomas, Stephen J. Bailey
Optimizing Python-Based Spectroscopic Data Processing on NERSC Supercomputers. SciPy (2019)
Jeffrey Regier, Keno Fischer, Kiran Pamnany, Andreas Noack, Jarrett Revels, Maximilian Lam, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin C. Thomas, Prabhat
Cataloging the visible universe through Bayesian inference in Julia at petascale. J. Parallel Distributed Comput. 127 (2019)
Matthew L. Henderson, William Krinsman, Shreyas Cholia, Rollin C. Thomas, Trevor Slaton
Accelerating Experimental Science Using Jupyter and NERSC HPC. HUST/SE-HER/WIHPC@SC (2019)
Jeffrey Regier, Kiran Pamnany, Keno Fischer, Andreas Noack, Maximilian Lam, Jarrett Revels, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin C. Thomas, Prabhat
Cataloging the Visible Universe through Bayesian Inference at Petascale. CoRR (2018)
Steven Andrew Farrell, Aaron Vose, Oliver Evans, Matthew L. Henderson, Shreyas Cholia, Fernando Pérez, Wahid Bhimji, Shane Canon, Rollin C. Thomas, Prabhat
Interactive Distributed Deep Learning with Jupyter Notebooks. ISC Workshops (2018)
Jeffrey Regier, Kiran Pamnany, Keno Fischer, Andreas Noack, Maximilian Lam, Jarrett Revels, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin C. Thomas, Prabhat
Cataloging the Visible Universe Through Bayesian Inference at Petascale. IPDPS (2018)
Zahra Ronaghi, Rollin C. Thomas, Jack Deslippe, Stephen Bailey, Doga Gürsoy, Theodore Kisner, Reijo Keskitalo, Julian Borrill
Python in the NERSC Exascale Science Applications Program for Data. PyHPC@SC (2017)
Jeffrey Regier, Kiran Pamnany, Ryan Giordano, Rollin C. Thomas, David Schlegel, Jon McAuliffe, Prabhat
Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference. CoRR (2016)
Christopher J. Paciorek, Benjamin Lipshitz, Wei Zhuo, Prabhat, Cari Kaufman, Rollin C. Thomas
Parallelizing Gaussian Process Calculations in R CoRR (2013)
Keith R. Jackson, Krishna Muriki, Lavanya Ramakrishnan, Karl J. Runge, Rollin C. Thomas
Performance and cost analysis of the Supernova factory on the Amazon AWS cloud. Sci. Program. 19 (2-3) (2011)
Keith R. Jackson, Lavanya Ramakrishnan, Karl J. Runge, Rollin C. Thomas
Seeking supernovae in the clouds: a performance study. HPDC (2010)
Cecilia R. Aragon, Sarah S. Poon, Gregory S. Aldering, Rollin C. Thomas, Robert Quimby
Using visual analytics to develop situation awareness in astrophysics. Inf. Vis. 8 (1) (2009)
Sarah S. Poon, Rollin C. Thomas, Cecilia R. Aragon, Brian Lee
Context-linked virtual assistants for distributed teams: an astrophysics case study. CSCW (2008)
Cecilia R. Aragon, Sarah S. Poon, Gregory S. Aldering, Rollin C. Thomas, Robert Quimby
Using visual analytics to maintain situation awareness in astrophysics. IEEE VAST (2008)
Cecilia R. Aragon, Stephen J. Bailey, Sarah S. Poon, Karl J. Runge, Rollin C. Thomas
Sunfall: A Collaborative Visual Analytics System for Astrophysics. IEEE VAST (2007)