Roland Haas

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 20

Top Topics

Massively Parallel

Gaussian Process Classification

Top Venues

Comput. Phys. Commun.

Publications

Yufeng Luo, Antonios Tsokaros, Roland Haas, Koji Uryu
General Relativistic Stability and Gravitational Wave Content of Rotating Triaxial Neutron Stars. Symmetry 16 (3) (2024)
Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng
SciCode: A Research Coding Benchmark Curated by Scientists. CoRR (2024)
Yufeng Luo, Qian Zhang, Roland Haas, Zachariah B. Etienne, Gabrielle Allen
HPC-driven computational reproducibility. CoRR (2023)
Hyun Park, Parth Patel, Roland Haas, E. A. Huerta
APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics. CoRR (2023)
Christa Hoffmann, Roland Haas, Nidhish Bhimrajka, Naga Srihith Penjarla
Cyberattacks in agribusiness. GIL Jahrestagung (2022)
Xiao Zhang, Sebastian Achilles, Jan Winkelmann, Roland Haas, André Schleife, Edoardo Di Napoli
Solving the Bethe-Salpeter equation on massively parallel architectures. Comput. Phys. Commun. 267 (2021)
Xiao Zhang, Sebastian Achilles, Jan Winkelmann, Roland Haas, André Schleife, Edoardo Di Napoli
Solving the Bethe-Salpeter equation on massively parallel architectures. CoRR (2020)
Yufeng Luo, Roland Haas, Qian Zhang, Gabrielle Allen
DataVault: A Data Storage Infrastructure for the Einstein Toolkit. CoRR (2020)
E. A. Huerta, Roland Haas, Shantenu Jha, Mark S. Neubauer, Daniel S. Katz
Supporting High-Performance and High-Throughput Computing for Experimental Science. Comput. Softw. Big Sci. 3 (1) (2019)
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
The Physics of Eccentric Binary Black Hole Mergers. A Numerical Relativity Perspective. CoRR (2019)
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 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
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR (2019)
Samuel Cupp, Steven R. Brandt, Roland Haas
The PreSync Project: Synchronization Automation in the Cactus Framework. PEARC (2019)
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 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
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR (2019)
E. A. Huerta, Roland Haas, Shantenu Jha, Mark Neubauer, Daniel S. Katz
Supporting High-Performance and High-Throughput Computing for Experimental Science. CoRR (2018)
Maxim Belkin, Roland Haas, Galen Wesley Arnold, Hon Wai Leong, Eliu A. Huerta, David Lesny, Mark Neubauer
Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters. PEARC (2018)
Maxim Belkin, Roland Haas, Galen Wesley Arnold, Hon Wai Leong, Eliu A. Huerta, David Lesny, Mark Neubauer
Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters. CoRR (2018)
Daniel Johnson, E. A. Huerta, Roland Haas
Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and post-process numerical relativity simulations. CoRR (2017)
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
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. eScience (2017)
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
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. CoRR (2017)
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
ENIGMA: Eccentric, Non-spinning, Inspiral Gaussian-process Merger Approximant for the characterization of eccentric binary black hole mergers. CoRR (2017)
Bindu Reddy, Harshal Sawant, Archana Patil, Roland Haas
Dynamic Character Animation Based on User?s Motion on Pressure Pad. CGVR (2009)
Roland Haas, Manoj Sinha
Concurrent engineering at Airbus ? a case study. Int. J. Manuf. Technol. Manag. 6 (3/4) (2004)
Sanjib Gosh, Gabriel Vögler, Thomas Flor, Walter Niess, Roland Haas, Boda Gupta
P2P Meeting Tool - A Peer to Peer Pervasive Computing Application. GI Jahrestagung (1) (2003)
Roland Haas
Capturing and reusing design rationales in modeling, simulation and control. ESM (2000)
Kenneth J. Hunt, Roland Haas, Roderick Murray-Smith
Extending the functional equivalence of radial basis function networks and fuzzy inference systems. IEEE Trans. Neural Networks 7 (3) (1996)
Kenneth J. Hunt, Roland Haas, M. Brown
On the functional equivalence of fuzzy inference systems and spline-based networks. Int. J. Neural Syst. 6 (2) (1995)