Roland Haas

National Geospatial Intelligence Research

(baxq)
Mar 2019 - Dec 2019

Using the Einstein Toolkit on Blue Waters

(bala)
May 2017 - Aug 2017

2020

Philipp Mösta, David Radice, Roland Haas, Erik Schnetter, and Sebastiano Bernuzzi (2020): A Magnetar Engine for Short GRBs and Kilonovae, Astrophysical Journal Letters, The American Astronomical Society, Vol 901, Num 2, ppL37

2019

E. A. Huerta, Roland Haas, Shantenu Jha, Mark Neubauer, and Daniel S. Katz (2019): Supporting High-Performance and High-Throughput Computing for Experimental Science, Computing and Software for Big Science, Springer International Publishing, Vol 3, Num 1, pp5
Adam Rebei, E. A. Huerta, Sibo Wang, Sarah Habib, Roland Haas, Daniel Johnson, and Daniel George (2019): Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers, Physical Review D, American Physical Society, Vol 100, Num 4, pp044025

2018

Christian D. Ott, Luke F. Roberts, André da Silva Schneider, Joseph M. Fedrow, Roland Haas, and Erik Schnetter (2018): The Progenitor Dependence of Core-collapse Supernovae from Three-dimensional Simulations with Progenitor Models of 12-40 M-circle dot, Astrophysical Journal Letters, The American Astronomical Society, Vol 855, Num 1, ppL3
Maxim Belkin, Roland Haas, Galen Wesley Arnold, Hon Wai Leong, Eliu A. Huerta, David Lesny, and Mark Neubauer (2018): Container Solutions for HPC Systems, ACM Press, PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing, pp43:1-43:8, Pittsburgh, Pennsylvania, U.S.A.

2017

Greg Bauer, Victor Anisimov, Galen Arnold, Brett Bode, Robert Brunner, Tom Cortese, Roland Haas, Andriy Kot, William Kramer, JaeHyuk Kwack, Jing Li, Celso Mendes, Ryan Mokos, Craig Steffen (2017): Updating the SPP Benchmark Suite for Extreme-Scale Systems, presented at CUG 2017, Redmond, Washington, U.S.A.
E.A. Huerta, Roland Haas, Edgar Fajardo, Daniel S. Katz, Stuart Anderson, Peter Couvares, Josh Willis, Timothy Bouvet, Jeremy Enos, William T.C. Kramer, Hon Wai Leong, and David Wheeler (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, Institute of Electrical & Electronics Engineers, 2017 IEEE 13th International Conference on e-Science (e-Science), Auckland, New Zealand

2014

Philipp Mösta, Sherwood Richers, Christian D. Ott, Roland Haas, Anthony L. Piro, Kristen Boydstun, Ernazar Abdikamalov, Christian Reisswig, and Erik Schnetter (2014): Magnetorotational Core-Collapse Supernovae in Three Dimensions, Astrophysical Journal Letters, The American Astronomical Society, Vol 785, Num 2, ppL29

2013

Ian Hinder and Alessandra Buonanno and Michael Boyle and Zachariah B Etienne and James Healy and Nathan K Johnson-McDaniel and Alessandro Nagar and Hiroyuki Nakano and Yi Pan and Harald P Pfeiffer and Michael Pürrer and Christian Reisswig and Mark A Scheel and Erik Schnetter and Ulrich Sperhake and Bela Szilágyi and Wolfgang Tichy and Barry Wardell and Anıl Zenginoğlu and Daniela Alic and Sebastiano Bernuzzi and Tanja Bode and Bernd Brügmann and Luisa T Buchman and Manuela Campanelli and Tony Chu and Thibault Damour and Jason D Grigsby and Mark Hannam and Roland Haas and Daniel A Hemberger and Sascha Husa and Lawrence E Kidder and Pablo Laguna and Lionel London and Geoffrey Lovelace and Carlos O Lousto and Pedro Marronetti and Richard A Matzner and Philipp Mösta and Abdul Mroué and Doreen Müller and Bruno C Mundim and Andrea Nerozzi and Vasileios Paschalidis and Denis Pollney and George Reifenberger and Luciano Rezzolla and Stuart L Shapiro and Deirdre Shoemaker and Andrea Taracchini and Nicholas W Taylor and Saul A Teukolsky and Marcus Thierfelder and Helvi Witek and Yosef Zlochower (2013): Error-Analysis and Comparison to Analytical Models of Numerical Waveforms Produced by the NRAR Collaboration, Classical and Quantum Gravity, IOP Publishing, Vol 31, Num 2, pp025012

2019

Eliu Huerta, Roland Haas, Gabrielle Allen, Ed Seidel, Sarah Habib (2019): Characterization of Numerical Relativity Waveforms of Eccentric Binary Black Hole Mergers, 2019 Blue Waters Annual Report, pp38-39
Eliu Huerta, Gabrielle Allen, Roland Haas, Ed Seidel, Zhizhen Zhao, Asad Khan, Sibo Wang, Robert Gruendl, Elise Jennings, Huihuo Zheng (2019): Deep Learning at Scale for the Construction of Galaxy Catalogs with the Dark Energy Survey, 2019 Blue Waters Annual Report, pp36-37

2018

Eliu Huerta, Roland Haas, Daniel S. Katz, Timothy Bouvet, Jeremy Enos, William T.C. Kramer, Hon Wai Leong, David Wheeler, Edgar Fajardo, Stuart Anderson, Peter Couvares, Joshua Willis (2018): Multimessenger Astrophysics with the Blue Waters Supercomputer, 2018 Blue Waters Annual Report, pp22-23
Roland Haas, Edward Seidel, Luke Roberts, Philipp Moesta, Eliu Huerta, Erik Schnetter, Christian Ott (2018): Core-Collapse Supernova Simulations: Simulating the Brightest Objects in the Sky and the Source of Life's Building Blocks, 2018 Blue Waters Annual Report, pp26-27

What’s New in HPC Research: October (Part 2)


Oct 15, 2018

In this paper, written by a team from the National Center for Supercomputing Applications and Rutgers University, the researchers argue that the (traditionally separate) HPC and HTC infrastructures must be integrated and unified.


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