default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRollin 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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 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 - 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 - 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 - 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 - 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 - 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
Informal and Other Publications
- 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) - 2018
- [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) - 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)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-10 02:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
