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Thomas D. Uram
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2020 – today
- 2023
- [c29]Khalid Hossain
, Riccardo Balin
, Corey Adams
, Thomas D. Uram
, Kalyan Kumaran
, Venkatram Vishwanath
, Tanima Dey
, Subrata Goswami
, Janghaeng Lee
, Rebecca Ramer
, Koichi Yamada
:
Demonstration of Portable Performance of Scientific Machine Learning on High Performance Computing Systems. SC Workshops 2023: 644-647 - [i9]Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.:
Workflows Community Summit 2022: A Roadmap Revolution. CoRR abs/2304.00019 (2023) - 2021
- [c28]Katerina B. Antypas, Deborah Bard, Johannes P. Blaschke
, Shane Richard Canon, Bjoern Enders, Mallikarjun Arjun Shankar, Suhas Somnath, Dale Stansberry, Thomas D. Uram, Sean R. Wilkinson
:
Enabling discovery data science through cross-facility workflows. IEEE BigData 2021: 3671-3680 - [c27]Antonio Villarreal, Yadu N. Babuji, Thomas D. Uram, Daniel S. Katz, Kyle Chard
, Katrin Heitmann:
Extreme Scale Survey Simulation with Python Workflows. e-Science 2021: 206-214 - [c26]Donglai Wei, Kisuk Lee, Hanyu Li
, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin
, Thomas D. Uram, Xueying Wang
, Ignacio Arganda-Carreras
, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister
:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. MICCAI (1) 2021: 175-185 - [c25]Alexander Brace, Michael Salim, Vishal Subbiah, Heng Ma, Murali Emani, Anda Trifan, Austin R. Clyde, Corey Adams, Thomas D. Uram, Hyun Seung Yoo
, Andew Hock, Jessica Liu, Venkatram Vishwanath, Arvind Ramanathan:
Stream-AI-MD: streaming AI-driven adaptive molecular simulations for heterogeneous computing platforms. PASC 2021: 6:1-6:13 - [c24]Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard
, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha
, Daniel E. Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov
, Matteo Turilli
, Thomas D. Uram, Justin M. Wozniak:
ExaWorks: Workflows for Exascale. WORKS 2021: 50-57 - [i8]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier
, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak:
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR abs/2103.09181 (2021) - [i7]Michael Salim, Thomas D. Uram, J. Taylor Childers, Venkat Vishwanath, Michael E. Papka:
Toward Real-time Analysis of Experimental Science Workloads on Geographically Distributed Supercomputers. CoRR abs/2105.06571 (2021) - [i6]Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. CoRR abs/2107.05451 (2021) - [i5]A. S. Villarreal, Yadu N. Babuji, Thomas D. Uram, Daniel S. Katz, Kyle Chard, Katrin Heitmann:
Extreme Scale Survey Simulation with Python Workflows. CoRR abs/2109.12060 (2021) - 2020
- [c23]Rafael Vescovi, Hanyu Li
, Jeffery Kinnison, Murat Keçeli
, Misha Salim, Narayanan Kasthuri, Thomas D. Uram, Nicola J. Ferrier
:
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data. XLOOP@SC 2020: 16-22 - [i4]Rafael Vescovi, Hanyu Li, Jeffery Kinnison, Murat Keçeli, Misha Salim, Narayanan Kasthuri, Thomas D. Uram, Nicola J. Ferrier:
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data. CoRR abs/2011.03204 (2020)
2010 – 2019
- 2019
- [c22]Michael A. Salim, Thomas D. Uram, J. Taylor Childers
, Venkatram Vishwanath, Michael E. Papka
:
Balsam: Near Real-Time Experimental Data Analysis on Supercomputers. XLOOP@SC 2019: 26-31 - [c21]Wushi Dong, Nicola J. Ferrier
, Narayanan Kasthuri, Peter Littlewood, Murat Keçeli
, Rafael Vescovi, Hanyu Li
, Corey Adams, Elise Jennings, Samuel Flender, Thomas D. Uram, Venkatram Vishwanath:
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping. DLS@SC 2019: 52-61 - [i3]Wushi Dong, Murat Keçeli, Rafael Vescovi, Hanyu Li, Corey Adams, Thomas D. Uram, Venkatram Vishwanath, Bobby Kasthuri, Nicola J. Ferrier, Peter Littlewood:
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping. CoRR abs/1905.06236 (2019) - [i2]Michael A. Salim, Thomas D. Uram, J. Taylor Childers, Prasanna Balaprakash, Venkatram Vishwanath, Michael E. Papka:
Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive HPC Workflows. CoRR abs/1909.08704 (2019) - 2018
- [j6]Ryan Chard
, Ravi K. Madduri
, Nicholas T. Karonis, Kyle Chard
, Kirk L. Duffin, Caesar E. Ordoñez, Thomas D. Uram, Justin Fleischauer, Ian T. Foster, Michael E. Papka
, John Winans:
Scalable pCT Image Reconstruction Delivered as a Cloud Service. IEEE Trans. Cloud Comput. 6(1): 182-195 (2018) - [c20]Prasanna Balaprakash
, Michael Salim, Thomas D. Uram, Venkat Vishwanath, Stefan M. Wild
:
DeepHyper: Asynchronous Hyperparameter Search for Deep Neural Networks. HiPC 2018: 42-51 - 2017
- [j5]John T. Childers
, Thomas D. Uram, Thomas J. LeCompte, Michael E. Papka
, D. P. Benjamin:
Adapting the serial Alpgen parton-interaction generator to simulate LHC collisions on millions of parallel threads. Comput. Phys. Commun. 210: 54-59 (2017) - 2016
- [j4]Thomas D. Uram, Michael E. Papka
:
Expanding the Scope of High-Performance Computing Facilities. Comput. Sci. Eng. 18(3): 84-87 (2016) - [c19]Silvio Rizzi, Mark Hereld, Joseph A. Insley, Preeti Malakar, Michael E. Papka
, Thomas D. Uram, Venkatram Vishwanath:
Coupling LAMMPS and the vl3 Framework for Co-Visualization of Atomistic Simulations. IPDPS Workshops 2016: 1038-1042 - [c18]Min Shih, Silvio Rizzi, Joseph A. Insley, Thomas D. Uram, Venkatram Vishwanath, Mark Hereld, Michael E. Papka
, Kwan-Liu Ma:
Parallel distributed, GPU-accelerated, advanced lighting calculations for large-scale volume visualization. LDAV 2016: 47-55 - 2015
- [j3]Ravi K. Madduri
, Alex A. Rodriguez, Thomas D. Uram, Katrin Heitmann, Tanu Malik, Saba Sehrish, Ryan Chard, Shreyas Cholia
, Marc F. Paterno, Jim Kowalkowski
, Salman Habib:
PDACS: A Portal for Data Analysis Services for Cosmological Simulations. Comput. Sci. Eng. 17(5): 18-26 (2015) - [c17]Silvio Rizzi, Mark Hereld, Joseph A. Insley, Michael E. Papka, Thomas D. Uram, Venkatram Vishwanath:
Large-Scale Parallel Visualization of Particle-Based Simulations using Point Sprites and Level-Of-Detail. EGPGV@EuroVis 2015: 1-10 - [c16]Jiayuan Meng, Thomas D. Uram, Vitali A. Morozov, Venkatram Vishwanath, Kalyan Kumaran:
Modeling Cooperative Threads to Project GPU Performance for Adaptive Parallelism. IPDPS Workshops 2015: 998-1007 - [c15]Jie Jiang, Mark Hereld, Joseph A. Insley, Michael E. Papka
, Silvio Rizzi, Thomas D. Uram, Venkatram Vishwanath:
Streaming ultra high resolution images to large tiled display at nearly interactive frame rate with vl3. LDAV 2015: 133-134 - [c14]Silvio Rizzi, Mark Hereld, Joseph A. Insley, Michael E. Papka
, Thomas D. Uram, Venkatram Vishwanath:
Large-scale co-visualization for LAMMPS using vl3. LDAV 2015: 141-142 - [i1]John T. Childers, Thomas D. Uram, Thomas J. LeCompte, Michael E. Papka, D. P. Benjamin:
Adapting the serial Alpgen event generator to simulate LHC collisions on millions of parallel threads. CoRR abs/1511.07312 (2015) - 2014
- [c13]Silvio Rizzi, Mark Hereld, Joseph A. Insley, Michael E. Papka, Thomas D. Uram, Venkatram Vishwanath:
Performance Modeling of vl3 Volume Rendering on GPU-Based Clusters. EGPGV@EuroVis 2014: 65-72 - [c12]Ryan Chard, Saba Sehrish, Alex A. Rodriguez, Ravi K. Madduri
, Thomas D. Uram, Marc F. Paterno, Katrin Heitmann, Shreyas Cholia
, Jim Kowalkowski, Salman Habib:
PDACS: a portal for data analysis services for cosmological simulations. GCE@SC 2014: 30-33 - [c11]Phil Lindner, Adolfo Rodriguez, Thomas D. Uram, Michael E. Papka
:
Augmenting views on large format displays with tablets. SUI 2014: 161 - 2013
- [j2]Nicholas T. Karonis, Kirk L. Duffin, Caesar E. Ordoñez, Béla Erdélyi, Thomas D. Uram, Eric C. Olson, George Coutrakon, Michael E. Papka
:
Distributed and hardware accelerated computing for clinical medical imaging using proton computed tomography (pCT). J. Parallel Distributed Comput. 73(12): 1605-1612 (2013) - 2012
- [c10]Kirk L. Duffin, Nicholas T. Karonis, Caesar E. Ordoñez, Michael E. Papka
, George Coutrakon, Béla Erdélyi, Eric C. Olson, Thomas D. Uram:
An Analysis of a Distributed GPU Implementation of Proton Computed Tomographic (pCT) Reconstruction. SC Companion 2012: 166-175 - 2011
- [c9]Jiayuan Meng, Vitali A. Morozov, Kalyan Kumaran, Venkatram Vishwanath, Thomas D. Uram:
GROPHECY: GPU performance projection from CPU code skeletons. SC 2011: 14:1-14:11 - [c8]Thomas D. Uram, Michael E. Papka
, Mark Hereld
, Michael Wilde:
A solution looking for lots of problems: generic portals for science infrastructure. TG 2011: 44:1-44:7 - 2010
- [c7]Wenjun Wu, Thomas D. Uram, Michael Wilde, Mark Hereld
, Michael E. Papka
:
A Web 2.0-Based Scientific Application Framework. ICWS 2010: 642-643 - [c6]Wenjun Wu, Thomas D. Uram, Michael Wilde, Mark Hereld
, Michael E. Papka
:
Accelerating science gateway development with Web 2.0 and Swift. TG 2010: 23:1-23:7
2000 – 2009
- 2009
- [j1]Namgon Kim, JongWon Kim, Thomas D. Uram:
A hybrid multicast connectivity solution for multi-party collaborative environments. Multim. Tools Appl. 44(1): 17-37 (2009) - [c5]Wenjun Wu, Thomas D. Uram, Michael E. Papka
:
Web 2.0-based social informatics data grid. SC-GCE 2009 - 2008
- [c4]Mark Hereld
, Michael E. Papka
, Thomas D. Uram:
Collaboration as a second thought. CTS 2008: 196-202 - [c3]Jim Basney, Stuart Martin, John-Paul Navarro
, Marlon E. Pierce
, Tom Scavo, Leif Strand, Thomas D. Uram, Nancy Wilkins-Diehr, Wenjun Wu, Choonhan Youn:
The Problem Solving Environments of TeraGrid, Science Gateways, and the Intersection of the Two. eScience 2008: 725-734 - 2005
- [c2]Han Gao, Ivan R. Judson, Thomas D. Uram, S. Lefvert, Terry Disz, Michael E. Papka
, Rick L. Stevens:
An Infrastructure of Network Services for Seamless Integration in Advanced Collaborative Computing Environments. CLUSTER 2005: 1-10 - 2004
- [c1]Han Gao, Ivan R. Judson, Thomas D. Uram, Terry Disz, Michael E. Papka, Rick L. Stevens:
Capability matching of data streams with network services. CCGRID 2004: 419-425
Coauthor Index
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