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ORCIDLorena A. Barba
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- affiliation: George Washington University, Washington, DC, USA
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Journal Articles
- 2022
[j34]Tingyu Wang
, Simon K. Layton, Lorena A. Barba:
Inexact GMRES iterations and relaxation strategies with fast-multipole boundary element method. Adv. Comput. Math. 48(3): 32 (2022)- [j33]Lorena A. Barba:
Defining the Role of Open Source Software in Research Reproducibility. Computer 55(8): 40-48 (2022) - [j32]Srinath Kailasa, Tingyu Wang, Lorena A. Barba, Timo Betcke:
PyExaFMM: An Exercise in Designing High-Performance Software With Python and Numba. Comput. Sci. Eng. 24(5): 77-84 (2022) - 2021
- [j31]Lorena A. Barba, George K. Thiruvathukal:
Trustworthy Computational Evidence Through Transparency and Reproducibility. Comput. Sci. Eng. 23(1): 58-64 (2021) - [j30]Duncan A. Brown, Karan Vahi, Michela Taufer, Von Welch, Ewa Deelman, Lorena A. Barba, George K. Thiruvathukal:
Reproducing GW150914: The First Observation of Gravitational Waves From a Binary Black Hole Merger. Comput. Sci. Eng. 23(2): 73-82 (2021) - [j29]Lorena A. Barba:
The Python/Jupyter Ecosystem: Today's Problem-Solving Environment for Computational Science. Comput. Sci. Eng. 23(3): 5-9 (2021) - [j28]Mohammad Akhlaghi, Raúl Infante-Sainz, Boudewijn F. Roukema, Mohammadreza Khellat, David Valls-Gabaud, Roberto Baena Gallé, Lorena A. Barba, Sandra Gesing:
Toward Long-Term and Archivable Reproducibility. Comput. Sci. Eng. 23(3): 82-91 (2021) - [j27]Lorena A. Barba, Andreas Klöckner, Prabhu Ramachandran, Rollin C. Thomas:
Scientific Computing With Python on High-Performance Heterogeneous Systems. Comput. Sci. Eng. 23(4): 5-7 (2021) - [j26]Beth A. Plale, Tanu Malik, Line C. Pouchard, Lorena A. Barba, Sandra Gesing:
Reproducibility Practice in High-Performance Computing: Community Survey Results. Comput. Sci. Eng. 23(5): 55-60 (2021) - [j25]Tingyu Wang, Rio Yokota, Lorena A. Barba:
ExaFMM: a high-performance fast multipole method library with C++ and Python interfaces. J. Open Source Softw. 6(61): 3145 (2021) - [j24]Pi-Yueh Chuang, Tracy Thorleifson, Lorena A. Barba:
geoclaw-landspill: an oil land-spill and overland flow simulator for pipeline rupture events. J. Open Source Softw. 6(62): 3114 (2021) - 2020
- [j23]Olivier Mesnard, Lorena A. Barba, George K. Thiruvathukal:
Reproducible Workflow on a Public Cloud for Computational Fluid Dynamics. Comput. Sci. Eng. 22(1): 102-116 (2020) - [j22]Ana Trisovic, Chris R. Jones, Ben Couturier, Marco Clemencic, Lorena A. Barba, George K. Thiruvathukal:
Provenance Tracking in the LHCb Software. Comput. Sci. Eng. 22(2): 88-94 (2020) - [j21]Lorena A. Barba:
Engineers Code: Reusable Open Learning Modules for Engineering Computations. Comput. Sci. Eng. 22(4): 26-35 (2020) - [j20]Lorena A. Barba:
Computational Science and Engineering in 2020. Comput. Sci. Eng. 22(6): 5-7 (2020) - 2019
- [j19]Lorena A. Barba:
Praxis of Reproducible Computational Science. Comput. Sci. Eng. 21(1): 73-78 (2019) - 2018
- [j18]Pi-Yueh Chuang, Olivier Mesnard, Anush Krishnan, Lorena A. Barba:
PetIBM: toolbox and applications of the immersed-boundary method on distributed-memory architectures. J. Open Source Softw. 3(25): 558 (2018) - [j17]Arfon M. Smith, Kyle E. Niemeyer, Daniel S. Katz, Lorena A. Barba, George Githinji, Melissa Gymrek, Kathryn D. Huff, Christopher R. Madan, Abigail Cabunoc Mayes, Kevin M. Moerman, Pjotr Prins, Karthik Ram, Ariel Rokem, Tracy K. Teal, Roman Valls Guimera, Jacob VanderPlas:
Journal of Open Source Software (JOSS): design and first-year review. PeerJ Comput. Sci. 4: e147 (2018) - 2017
- [j16]Olivier Mesnard, Lorena A. Barba:
Reproducible and Replicable Computational Fluid Dynamics: It's Harder Than You Think. Comput. Sci. Eng. 19(4): 44-55 (2017) - [j15]Lorena A. Barba, George K. Thiruvathukal:
Reproducible Research for Computing in Science & Engineering. Comput. Sci. Eng. 19(6): 85-87 (2017) - [j14]Anush Krishnan, Olivier Mesnard, Lorena A. Barba:
cuIBM: a GPU-based immersed boundary method code. J. Open Source Softw. 2(15): 301 (2017) - [j13]Pi-Yueh Chuang, Lorena A. Barba:
AmgXWrapper: An interface between PETSc and the NVIDIA AmgX library. J. Open Source Softw. 2(16): 280 (2017) - [j12]Natalia C. Clementi, Gilbert Forsyth, Christopher D. Cooper, Lorena A. Barba:
PyGBe-LSPR: Python and GPU Boundary-integral solver for electrostatics. J. Open Source Softw. 2(19): 306 (2017) - [j11]Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C. Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael Neto Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Dan McGlinn, Christoph Metzner, Owen L. Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne B. Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Jemma Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito:
Sustainable computational science: the ReScience initiative. PeerJ Comput. Sci. 3: e142 (2017) - 2016
- [j10]Christopher D. Cooper, Lorena A. Barba:
Poisson-Boltzmann model for protein-surface electrostatic interactions and grid-convergence study using the PyGBe code. Comput. Phys. Commun. 202: 23-32 (2016) - [j9]Christopher D. Cooper, Natalia C. Clementi, Gilbert Forsyth, Lorena A. Barba:
PyGBe: Python, GPUs and Boundary elements for biomolecular electrostatics. J. Open Source Softw. 1(4): 43 (2016) - 2014
- [j8]Christopher D. Cooper, Jaydeep P. Bardhan, Lorena A. Barba:
A biomolecular electrostatics solver using Python, GPUs and boundary elements that can handle solvent-filled cavities and Stern layers. Comput. Phys. Commun. 185(3): 720-729 (2014) - 2013
- [j7]Rio Yokota, Lorena A. Barba, Tetsu Narumi, Kenji Yasuoka:
Petascale turbulence simulation using a highly parallel fast multipole method on GPUs. Comput. Phys. Commun. 184(3): 445-455 (2013) - 2012
- [j6]Rio Yokota, Lorena A. Barba:
Hierarchical N-body Simulations with Autotuning for Heterogeneous Systems. Comput. Sci. Eng. 14(3): 30-39 (2012) - [j5]Rio Yokota, Lorena A. Barba:
A tuned and scalable fast multipole method as a preeminent algorithm for exascale systems. Int. J. High Perform. Comput. Appl. 26(4): 337-346 (2012) - 2011
- [j4]Rio Yokota, Jaydeep P. Bardhan, Matthew G. Knepley, Lorena A. Barba, Tsuyoshi Hamada:
Biomolecular electrostatics using a fast multipole BEM on up to 512 gpus and a billion unknowns. Comput. Phys. Commun. 182(6): 1272-1283 (2011) - [j3]Felipe A. Cruz, Simon K. Layton, Lorena A. Barba:
How to obtain efficient GPU kernels: An illustration using FMM & FGT algorithms. Comput. Phys. Commun. 182(10): 2084-2098 (2011) - 2010
- [j2]Lorena A. Barba, Louis F. Rossi:
Global field interpolation for particle methods. J. Comput. Phys. 229(4): 1292-1310 (2010) - 2009
- [j1]Claudio E. Torres, Lorena A. Barba:
Fast radial basis function interpolation with Gaussians by localization and iteration. J. Comput. Phys. 228(14): 4976-4999 (2009)
Conference and Workshop Papers
- 2022
- [c5]Pi-Yueh Chuang, Lorena A. Barba:
Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration. SciPy 2022: 28-36 - 2021
- [c4]Lorena A. Barba:
12 Ways to Fool the Masses with Irreproducible Results. IPDPS 2021: 422 - 2014
- [c3]Qi Hu, Nail A. Gumerov, Rio Yokota, Lorena A. Barba, Ramani Duraiswami:
Scalable Fast Multipole Accelerated Vortex Methods. IPDPS Workshops 2014: 966-975 - 2012
- [c2]Qi Hu, Nail A. Gumerov, Rio Yokota, Lorena A. Barba, Ramani Duraiswami:
Abstract: Scalable Fast Multipole Methods for Vortex Element Methods. SC Companion 2012: 1408 - [c1]Qi Hu, Nail A. Gumerov, Rio Yokota, Lorena A. Barba, Ramani Duraiswami:
Poster: Scalable Fast Multipole Methods for Vortex Element Methods. SC Companion 2012: 1409
Informal and Other Publications
- 2023
- [i23]Srinath Kailasa, Tingyu Wang, Lorena A. Barba, Timo Betcke:
PyExaFMM: an exercise in designing high-performance software with Python and Numba. CoRR abs/2303.08394 (2023) - [i22]Pi-Yueh Chuang, Lorena A. Barba:
Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding. CoRR abs/2306.00230 (2023) - 2022
- [i21]Lorena A. Barba:
Defining the role of open source software in research reproducibility. CoRR abs/2204.12564 (2022) - [i20]Pi-Yueh Chuang, Lorena A. Barba:
Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration. CoRR abs/2205.14249 (2022) - 2021
- [i19]Tingyu Wang, Christopher D. Cooper, Timo Betcke, Lorena A. Barba:
High-productivity, high-performance workflow for virus-scale electrostatic simulations with Bempp-Exafmm. CoRR abs/2103.01048 (2021) - [i18]Olivier Mesnard, Lorena A. Barba:
[Re] Three-dimensional wake topology and propulsive performance of low-aspect-ratio pitching-rolling plates. CoRR abs/2105.00775 (2021) - 2020
- [i17]Lorena A. Barba:
Engineers Code: reusable open learning modules for engineering computations. CoRR abs/2001.00228 (2020) - 2019
- [i16]Olivier Mesnard, Lorena A. Barba:
Reproducible Workflow on a Public Cloud for Computational Fluid Dynamics. CoRR abs/1904.07981 (2019) - 2018
- [i15]Lorena A. Barba:
Terminologies for Reproducible Research. CoRR abs/1802.03311 (2018) - [i14]Daniel S. Katz, Gabrielle Allen, Lorena A. Barba, Devin R. Berg, Holly Bik, Carl Boettiger, Christine L. Borgman, C. Titus Brown, Stuart Buck, Randy Burd, Anita de Waard, Martin Paul Eve, Brian E. Granger, Josh Greenberg, Adina Howe, Bill Howe, May Khanna, Timothy L. Killeen, Matthew S. Mayernik, Erin C. McKiernan, Chris Mentzel, Nirav C. Merchant, Kyle E. Niemeyer, Laura Norén, Sarah M. Nusser, Daniel A. Reed, Edward Seidel, MacKenzie Smith, Jeffrey R. Spies, Matthew J. Turk, John D. Van Horn, Jay Walsh:
The principles of tomorrow's university. F1000Research 7: 1926 (2018) - 2017
- [i13]Arfon M. Smith, Kyle E. Niemeyer, Daniel S. Katz, Lorena A. Barba, George Githinji, Melissa Gymrek, Kathryn D. Huff, Christopher R. Madan, Abigail Cabunoc Mayes, Kevin Mattheus Moerman, Pjotr Prins, Karthik Ram, Ariel Rokem, Tracy K. Teal, Roman Valls Guimera, Jacob VanderPlas:
Journal of Open Source Software (JOSS): design and first-year review. CoRR abs/1707.02264 (2017) - [i12]Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C. Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael Neto Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Dan McGlinn, Christoph Metzner, Owen L. Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne B. Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Jemma Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito:
Sustainable computational science: the ReScience initiative. CoRR abs/1707.04393 (2017) - 2014
- [i11]Doug James, Nancy Wilkins-Diehr, Victoria Stodden, Dirk Colbry, Carlos Rosales, Mark R. Fahey, Justin Shi, Rafael Ferreira da Silva, Kyo Lee, Ralph Roskies, Laurence Loewe, Susan Lindsey, Rob Kooper, Lorena A. Barba, David H. Bailey, Jonathan M. Borwein, Óscar Corcho, Ewa Deelman, Michael C. Dietze, Benjamin Gilbert, Jan Harkes, Seth Keele, Praveen Kumar, Jong Lee, Erika Linke, Richard Marciano, Luigi Marini, Chris Mattmann, Dave Mattson, Kenton McHenry, Robert T. McLay, Sheila Miguez, Barbara S. Minsker, María S. Pérez-Hernández, Dan Ryan, Mats Rynge, Idafen Santana-Pérez, Mahadev Satyanarayanan, Gloriana St. Clair, Keith Webster, Eivind Hovig, Daniel S. Katz, Sophie Kay, Geir Kjetil Sandve, David Skinner, Gabrielle Allen, John Cazes, Kym Won Cho, Jim Fonseca, Lorraine J. Hwang, Lars Koesterke, Pragnesh Patel, Line Pouchard, Edward Seidel, Isuru Suriarachchi:
Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE. CoRR abs/1412.5557 (2014) - 2011
- [i10]Rio Yokota, Lorena A. Barba:
A Tuned and Scalable Fast Multipole Method as a Preeminent Algorithm for Exascale Systems. CoRR abs/1106.2176 (2011) - [i9]Rio Yokota, Tetsu Narumi, Lorena A. Barba, Kenji Yasuoka:
Petascale turbulence simulation using a highly parallel fast multipole method. CoRR abs/1106.5273 (2011) - [i8]Rio Yokota, Lorena A. Barba:
Fast N-body Simulations on GPUs. CoRR abs/1108.5815 (2011) - [i7]Simon K. Layton, Anush Krishnan, Lorena A. Barba:
cuIBM -- A GPU-accelerated Immersed Boundary Method. CoRR abs/1109.3524 (2011) - [i6]Rio Yokota, Lorena A. Barba:
Fast Multipole Method vs. Spectral Method for the Simulation of Isotropic Turbulence on GPUs. CoRR abs/1110.2921 (2011) - 2010
- [i5]Rio Yokota, Tsuyoshi Hamada, Jaydeep P. Bardhan, Matthew G. Knepley, Lorena A. Barba:
Biomolecular Electrostatics Simulation by an FMM-based BEM on 512 GPUs. CoRR abs/1007.4591 (2010) - [i4]Felipe A. Cruz, Simon K. Layton, Lorena A. Barba:
How to obtain efficient GPU kernels: an illustration using FMM & FGT algorithms. CoRR abs/1009.3457 (2010) - 2009
- [i3]Felipe A. Cruz, Matthew G. Knepley, Lorena A. Barba:
PetFMM--A dynamically load-balancing parallel fast multipole library. CoRR abs/0905.2637 (2009) - [i2]Rio Yokota, Lorena A. Barba, Matthew G. Knepley:
PetRBF--A parallel O(N) algorithm for radial basis function interpolation. CoRR abs/0909.5413 (2009) - 2008
- [i1]Felipe A. Cruz, Lorena A. Barba:
Characterization of the errors of the FMM in particle simulations. CoRR abs/0809.1810 (2008)
Coauthor Index
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