Deborah Bard

According to our database, Deborah Bard authored at least 20 papers between 2013 and 2024.

Collaborative distances:

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

2024

Frontiers in Scientific Workflows: Pervasive Integration With High-Performance Computing.

Rafael Ferreira da Silva, Rosa M. Badia, Deborah Bard, Ian T. Foster, Shantenu Jha, Frédéric Suter

Computer, August, 2024

Real-time XFEL data analysis at SLAC and NERSC: A trial run of nascent exascale experimental data analysis.

Johannes P. Blaschke, Aaron S. Brewster, Daniel W. Paley, Derek Mendez, Asmit Bhowmick, Nicholas K. Sauter, Wilko Kröger, Murali Shankar, Bjoern Enders, Deborah Bard

Concurr. Comput. Pract. Exp., May, 2024

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.

Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Shaun De Witt, Ian T. Foster, Tom Gibbs, Carole A. Goble, William F. Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent

CoRR, 2024

Accelerating Time-to-Science by Streaming Detector Data Directly into Perlmutter Compute Nodes.

Samuel S. Welborn, Bjoern Enders, Chris Harris, Peter Ercius, Deborah Bard

CoRR, 2024

Accelerating x-ray tracing for exascale systems using Kokkos.

Felix Wittwer, Nicholas K. Sauter, Derek Mendez, Billy K. Poon, Aaron S. Brewster, James M. Holton, Michael E. Wall, William E. Hart, Deborah Bard, Johannes P. Blaschke

Concurr. Comput. Pract. Exp., 2024

2023

Workflows Community Summit 2022: A Roadmap Revolution.

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.

CoRR, 2023

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

Cross-Facility Workflows: Case Studies with Active Experiments.

Nicholas Tyler, Robert A. Knop Jr., Deborah Bard, Peter Nugent

Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022

2021

Real-Time XFEL Data Analysis at SLAC and NERSC: a Trial Run of Nascent Exascale Experimental Data Analysis.

Johannes P. Blaschke, Aaron S. Brewster, Daniel W. Paley, Derek Mendez, Nicholas K. Sauter, Wilko Kröger, Murali Shankar, Bjoern Enders, Deborah Bard

CoRR, 2021

Automation for Data-Driven Research with the NERSC Superfacility API.

Deborah Bard, Mark R. Day, Bjoern Enders, Rebecca Hartman-Baker, John Riney, Cory Snavely, Gabor Torok

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

Experiences with Cross-Facility Real-Time Light Source Data Analysis Workflows.

Anna Giannakou, Johannes P. Blaschke, Deborah Bard, Lavanya Ramakrishnan

Proceedings of the IEEE/ACM HPC for Urgent Decision Making, 2021

Enabling discovery data science through cross-facility workflows.

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

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources.

Tom Peterka, Deborah Bard, Janine C. Bennett, E. Wes Bethel, Ron A. Oldfield, Line Pouchard, Christine Sweeney, Matthew Wolf

Int. J. High Perform. Comput. Appl., 2020

Characterizing Scientific Workflows on HPC Systems using Logs.

Devarshi Ghoshal, Brian Austin, Deborah Bard, Christopher S. Daley, Glenn K. Lockwood, Nicholas J. Wright, Lavanya Ramakrishnan

Proceedings of the IEEE/ACM Workflows in Support of Large-Scale Science, 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

2018

CosmoFlow: using deep learning to learn the universe at scale.

Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Kärnä, Diana Moise, Simon J. Pennycook, Kristyn J. Maschhoff, Jason Sewall, Nalini Kumar, Shirley Ho, Michael F. Ringenburg, Prabhat, Victor W. Lee

Proceedings of the International Conference for High Performance Computing, 2018

2017

Scaling GRPC Tensorflow on 512 nodes of Cori Supercomputer.

Amrita Mathuriya, Thorsten Kurth, Vivek Rane, Mustafa Mustafa, Lei Shao, Debbie Bard, Prabhat, Victor W. Lee

CoRR, 2017

Creating Virtual Universes Using Generative Adversarial Networks.

Mustafa Mustafa, Deborah Bard, Wahid Bhimji, Rami Al-Rfou, Zarija Lukic

CoRR, 2017

Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies.

Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat

Proceedings of the International Conference for High Performance Computing, 2017

2013

Cosmological calculations on the GPU.

Deborah Bard, Matthew Bellis, Mark T. Allen, H. Yepremyan, Jan Michael Kratochvil

Astron. Comput., 2013