Roland Haas

According to our database, Roland Haas authored at least 17 papers between 2000 and 2023.

Collaborative distances:

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

2023

APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics.

Hyun Park, Parth Patel, Roland Haas, E. A. Huerta

CoRR, 2023

HPC-driven computational reproducibility.

Yufeng Luo, Qian Zhang, Roland Haas, Zachariah B. Etienne, Gabrielle Allen

CoRR, 2023

2022

Cyberattacks in agribusiness.

Christa Hoffmann, Roland Haas, Nidhish Bhimrajka, Naga Srihith Penjarla

Proceedings of the 42. GIL-Jahrestagung, 2022

2021

Solving the Bethe-Salpeter equation on massively parallel architectures.

Xiao Zhang, Sebastian Achilles, Jan Winkelmann, Roland Haas, André Schleife, Edoardo Di Napoli

Comput. Phys. Commun., 2021

2020

DataVault: A Data Storage Infrastructure for the Einstein Toolkit.

Yufeng Luo, Roland Haas, Qian Zhang, Gabrielle Allen

CoRR, 2020

2019

Supporting High-Performance and High-Throughput Computing for Experimental Science.

E. A. Huerta, Roland Haas, Shantenu Jha, Mark S. Neubauer, Daniel S. Katz

Comput. Softw. Big Sci., December, 2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.

E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, E. A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

The Physics of Eccentric Binary Black Hole Mergers. A Numerical Relativity Perspective.

E. A. Huerta, Roland Haas, Sarah Habib, Anushri Gupta, Adam Rebei, Vishnu Chavva, Daniel Johnson, Shawn Rosofsky, Erik Wessel, Bhanu Agarwal, Diyu Luo, Wei Ren

CoRR, 2019

The PreSync Project: Synchronization Automation in the Cactus Framework.

Samuel Cupp, Steven R. Brandt, Roland Haas

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

2018

Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters.

Maxim Belkin, Roland Haas, Galen Wesley Arnold, Hon Wai Leong, Eliu A. Huerta, David Lesny, Mark S. Neubauer

Proceedings of the Practice and Experience on Advanced Research Computing, 2018

2017

ENIGMA: Eccentric, Non-spinning, Inspiral Gaussian-process Merger Approximant for the characterization of eccentric binary black hole mergers.

E. A. Huerta, C. J. Moore, Prayush Kumar, Daniel George, Alvin J. K. Chua, Roland Haas, Erik Wessel, Daniel Johnson, Derek Glennon, Adam Rebei, A. Miguel Holgado, Jonathan R. Gair, Harald P. Pfeiffer

CoRR, 2017

Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and post-process numerical relativity simulations.

Daniel Johnson, E. A. Huerta, Roland Haas

CoRR, 2017

BOSS-LDG: A Novel Computational Framework That Brings Together Blue Waters, Open Science Grid, Shifter and the LIGO Data Grid to Accelerate Gravitational Wave Discovery.

E. A. Huerta, Roland Haas, Edgar Fajardo Hernandez, Daniel S. Katz, Stuart Anderson, Peter Couvares, Josh Willis, Timothy Bouvet, Jeremy Enos, William T. C. Kramer, Hon Wai Leong, David Wheeler

Proceedings of the 13th IEEE International Conference on e-Science, 2017

2009

Dynamic Character Animation Based on User?s Motion on Pressure Pad.

Bindu Reddy, Harshal Sawant, Archana Patil, Roland Haas

Proceedings of the 2009 International Conference on Computer Graphics & Virtual Reality, 2009

2003

P2P Meeting Tool - A Peer to Peer Pervasive Computing Application.

Sanjib Gosh, Gabriel Vögler, Thomas Flor, Walter Niess, Roland Haas, Boda Gupta

Proceedings of the 33. Jahrestagung der Gesellschaft für Informatik, Innovative Informatikanwendungen, INFORMATIK 2003, Frankfurt am Main, Germany, September 29, 2003

2000

Capturing and reusing design rationales in modeling, simulation and control.

Roland Haas

Proceedings of the 14^th European Simulation Multiconference, 2000