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Rollin C. Thomas
Person information
- affiliation: Lawrence Berkeley National Laboratory, NERSC, CA, USA
- affiliation (PhD): University of Oklahoma, Department of Physics and Astronomy, Norman, OK, USA
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2020 – today
- 2023
- [c14]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: 1105-1113 - 2022
- [i5]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:
The LBNL Superfacility Project Report. CoRR abs/2206.11992 (2022) - [i4]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:
A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series. CoRR abs/2207.07645 (2022) - 2021
- [j5]Rollin C. Thomas, Shreyas Cholia, Kathryn M. Mohror, John M. Shalf:
Interactive Supercomputing With Jupyter. Comput. Sci. Eng. 23(2): 93-98 (2021) - [j4]Lorena A. Barba, Andreas Klöckner, Prabhu Ramachandran, Rollin C. Thomas:
Scientific Computing With Python on High-Performance Heterogeneous Systems. Comput. Sci. Eng. 23(4): 5-7 (2021) - [c13]Daniel Margala, Laurie Stephey, Rollin C. Thomas, Stephen J. Bailey:
Accelerating Spectroscopic Data Processing Using Python and GPUs on NERSC Supercomputers. SciPy 2021: 33-39 - [c12]Rollin C. Thomas, Laurie Stephey, Annette Greiner, Brandon Cook:
Monitoring Scientific Python Usage on a Supercomputer. SciPy 2021: 123-131 - 2020
- [c11]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:
Cross-facility science with the Superfacility Project at LBNL. XLOOP@SC 2020: 1-7
2010 – 2019
- 2019
- [j3]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: 89-104 (2019) - [c10]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: 86:1-86:23 - [c9]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: 145-163 - [c8]Laurie Stephey, Rollin C. Thomas, Stephen J. Bailey:
Optimizing Python-Based Spectroscopic Data Processing on NERSC Supercomputers. SciPy 2019: 69-76 - 2018
- [c7]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: 44-53 - [c6]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: 678-687 - [i3]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 abs/1801.10277 (2018) - 2017
- [c5]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: 4:1-4:10 - 2016
- [i2]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 abs/1611.03404 (2016) - 2013
- [i1]Christopher J. Paciorek, Benjamin Lipshitz, Wei Zhuo, Prabhat, Cari Kaufman, Rollin C. Thomas:
Parallelizing Gaussian Process Calculations in R. CoRR abs/1305.4886 (2013) - 2011
- [j2]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): 107-119 (2011) - 2010
- [c4]Keith R. Jackson, Lavanya Ramakrishnan, Karl J. Runge, Rollin C. Thomas:
Seeking supernovae in the clouds: a performance study. HPDC 2010: 421-429
2000 – 2009
- 2009
- [j1]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): 30-41 (2009) - 2008
- [c3]Sarah S. Poon, Rollin C. Thomas, Cecilia R. Aragon, Brian Lee:
Context-linked virtual assistants for distributed teams: an astrophysics case study. CSCW 2008: 361-370 - [c2]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: 27-34 - 2007
- [c1]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: 219-220
Coauthor Index
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