Rollin C. Thomas

According to our database, Rollin C. Thomas authored at least 23 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

High-level GPU code: a case study examining JAX and OpenMP.

Nestor Demeure, Theodore Kisner, Reijo Keskitalo, Rollin C. Thomas, Julian Borrill, Wahid Bhimji

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

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, S. Dixon, Dominique Fouchez, Emmanuel Gangler, R. Gupta, B. Hayden, W. Hillebrandt, M. Karmen, A. G. Kim, M. Kowalski, D. Kusters, P. F. Leget, F. Mondon, J. Nordin, R. Pain, E. Pecontal, R. Pereira, S. Perlmutter, K. A. Ponder, D. Rabinowitz, M. Rigault, D. Rubin, K. Runge, C. Saunders, G. Smadja, N. Suzuki, C. Tao, Rollin C. Thomas, Maria Vincenzi

CoRR, 2022

The LBNL Superfacility Project Report.

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 L. Groves, Mariam Kiran, Quincey Koziol, Tom Lehman, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Laurie Stephey, Rollin C. Thomas, Gabor Torok

CoRR, 2022

2021

Interactive Supercomputing With Jupyter.

Rollin C. Thomas, Shreyas Cholia, Kathryn M. Mohror, John M. Shalf

Comput. Sci. Eng., 2021

Scientific Computing With Python on High-Performance Heterogeneous Systems.

Lorena A. Barba, Andreas Klöckner, Prabhu Ramachandran, Rollin C. Thomas

Comput. Sci. Eng., 2021

Monitoring Scientific Python Usage on a Supercomputer.

Rollin C. Thomas, Laurie Stephey, Annette Greiner, Brandon Cook

Proceedings of the 20th Python in Science Conference 2021 (SciPy 2021), Virtual Conference, July 12, 2021

Accelerating Spectroscopic Data Processing Using Python and GPUs on NERSC Supercomputers.

Daniel Margala, Laurie Stephey, Rollin C. Thomas, Stephen J. Bailey

Proceedings of the 20th Python in Science Conference 2021 (SciPy 2021), Virtual Conference, July 12, 2021

2020

Cross-facility science with the Superfacility Project at LBNL.

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 L. Groves, Mariam Kiran, Quincey Koziol, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Rollin C. Thomas, Gabor Torok

Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020

2019

Cataloging the visible universe through Bayesian inference in Julia at petascale.

Jeffrey Regier, Keno Fischer, Kiran Pamnany, Andreas Noack, Jarrett Revels, Maximilian Lam, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin C. Thomas, Prabhat

J. Parallel Distributed Comput., 2019

Optimizing Python-Based Spectroscopic Data Processing on NERSC Supercomputers.

Laurie Stephey, Rollin C. Thomas, Stephen J. Bailey

Proceedings of the 18th Python in Science Conference 2019 (SciPy 2019), Austin, Texas, July 8, 2019

Accelerating Experimental Science Using Jupyter and NERSC HPC.

Matthew L. Henderson, William Krinsman, Shreyas Cholia, Rollin C. Thomas, Trevor Slaton

Proceedings of the Tools and Techniques for High Performance Computing, 2019

Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction.

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

Proceedings of the International Conference for High Performance Computing, 2019

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

Proceedings of the High Performance Computing, 2018

Cataloging the Visible Universe Through Bayesian Inference at Petascale.

Jeffrey Regier, Kiran Pamnany, Keno Fischer, Andreas Noack, Maximilian Lam, Jarrett Revels, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin C. Thomas, Prabhat

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017

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

Proceedings of the 7th Workshop on Python for High-Performance and Scientific Computing, 2017

2016

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

2013

Parallelizing Gaussian Process Calculations in R

Christopher J. Paciorek, Benjamin Lipshitz, Wei Zhuo, Prabhat, Cari Kaufman, Rollin C. Thomas

CoRR, 2013

2011

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

2010

Seeking supernovae in the clouds: a performance study.

Keith R. Jackson, Lavanya Ramakrishnan, Karl J. Runge, Rollin C. Thomas

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

2009

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

2008

Using visual analytics to maintain situation awareness in astrophysics.

Cecilia R. Aragon, Sarah S. Poon, Gregory S. Aldering, Rollin C. Thomas, Robert Quimby

Proceedings of the 3rd IEEE Symposium on Visual Analytics Science and Technology, 2008

Context-linked virtual assistants for distributed teams: an astrophysics case study.

Sarah S. Poon, Rollin C. Thomas, Cecilia R. Aragon, Brian Lee

Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work, 2008

2007

Sunfall: A Collaborative Visual Analytics System for Astrophysics.

Cecilia R. Aragon, Stephen J. Bailey, Sarah S. Poon, Karl J. Runge, Rollin C. Thomas

Proceedings of the 2nd IEEE Symposium on Visual Analytics Science and Technology, 2007