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Jed Brown
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- affiliation: University of Colorado Boulder, CO, USA
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2020 – today
- 2024
- [i22]Rezgar Shakeri, Leila Ghaffari, Karen Stengel, Jeremy L. Thompson, Jed Brown:
Stable numerics for finite-strain elasticity. CoRR abs/2401.13196 (2024) - [i21]Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Jacob Faibussowitsch, Toby Isaac, Matthew G. Knepley, Todd S. Munson, Hansol Suh, Stefano Zampini, Hong Zhang, Junchao Zhang:
PETSc/TAO Developments for Early Exascale Systems. CoRR abs/2406.08646 (2024) - 2023
- [j20]Jeremy L. Thompson, Jed Brown, Yunhui He:
Local Fourier Analysis of p-Multigrid for High-Order Finite Element Operators. SIAM J. Sci. Comput. 45(3): S351-S370 (2023) - [j19]Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown:
Towards Stability of Autoregressive Neural Operators. Trans. Mach. Learn. Res. 2023 (2023) - [c10]Jeff R. Hammond, Lisandro Dalcín, Erik Schnetter, Marc Pérache, Jean-Baptiste Besnard, Jed Brown, Gonzalo Brito Gadeschi, Simon Byrne, Joseph Schuchart, Hui Zhou:
MPI Application Binary Interface Standardization. EuroMPI 2023: 1:1-1:12 - [c9]Jake Tronge, Howard Pritchard, Jed Brown:
Improving MPI Safety for Modern Languages. EuroMPI 2023: 10:1-10:11 - [i20]Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown:
Towards Stability of Autoregressive Neural Operators. CoRR abs/2306.10619 (2023) - [i19]Jeff R. Hammond, Lisandro Dalcín, Erik Schnetter, Marc Pérache, Jean-Baptiste Besnard, Jed Brown, Gonzalo Brito Gadeschi, Joseph Schuchart, Simon Byrne, Hui Zhou:
MPI Application Binary Interface Standardization. CoRR abs/2308.11214 (2023) - 2022
- [j18]Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang:
The PETSc Community as Infrastructure. Comput. Sci. Eng. 24(3): 6-15 (2022) - [j17]Junchao Zhang, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew G. Knepley, Oana Marin, Richard Tran Mills, Todd S. Munson, Barry F. Smith, Stefano Zampini:
The PetscSF Scalable Communication Layer. IEEE Trans. Parallel Distributed Syst. 33(4): 842-853 (2022) - [d4]Jed Brown, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Veselin Dobrev, Yohann Dudouit, Leila Ghaffari, Tzanio V. Kolev, David S. Medina, Will Pazner, Thilina Ratnayaka, Rezgar Shakeri, Jeremy L. Thompson, Stanimire Tomov, James Wright:
libCEED: Efficient Extensible Discretization. Zenodo, 2022 - [i18]Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang:
The PETSc Community Is the Infrastructure. CoRR abs/2201.00967 (2022) - [i17]Jed Brown, Valeria Barra, Natalie Beams, Leila Ghaffari, Matthew G. Knepley, William S. Moses, Rezgar Shakeri, Karen Stengel, Jeremy L. Thompson, Junchao Zhang:
Performance Portable Solid Mechanics via Matrix-Free p-Multigrid. CoRR abs/2204.01722 (2022) - 2021
- [j16]Tzanio V. Kolev, Paul F. Fischer, Misun Min, Jack J. Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David S. Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy L. Thompson, Ananias Tomboulides, Vladimir Z. Tomov:
Efficient exascale discretizations: High-order finite element methods. Int. J. High Perform. Comput. Appl. 35(6): 527-552 (2021) - [j15]Jed Brown, Ahmad Abdelfattah, Valeria Barra, Natalie N. Beams, Jean-Sylvain Camier, Veselin Dobrev, Yohann Dudouit, Leila Ghaffari, Tzanio V. Kolev, David S. Medina, Will Pazner, Thilina Rathnayake, Jeremy L. Thompson, Stan Tomov:
libCEED: Fast algebra for high-order element-based discretizations. J. Open Source Softw. 6(63): 2945 (2021) - [j14]Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Alp Dener, Matthew G. Knepley, Scott E. Kruger, Hannah Morgan, Todd S. Munson, Karl Rupp, Barry F. Smith, Stefano Zampini, Hong Zhang, Junchao Zhang:
Toward performance-portable PETSc for GPU-based exascale systems. Parallel Comput. 108: 102831 (2021) - [j13]Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Ryan Bleile, Jed Brown, Jean-Sylvain Camier, Robert Carson, Noel Chalmers, Veselin Dobrev, Yohann Dudouit, Paul F. Fischer, Ali Karakus, Stefan Kerkemeier, Tzanio V. Kolev, Yu-Hsiang Lan, Elia Merzari, Misun Min, Malachi Phillips, Thilina Rathnayake, Robert N. Rieben, Thomas Stitt, Ananias Tomboulides, Stanimire Tomov, Vladimir Z. Tomov, Arturo Vargas, Tim Warburton, Kenneth Weiss:
GPU algorithms for Efficient Exascale Discretizations. Parallel Comput. 108: 102841 (2021) - [j12]Jed Brown, Yunhui He, Scott P. MacLachlan, Matt Menickelly, Stefan M. Wild:
Tuning Multigrid Methods with Robust Optimization and Local Fourier Analysis. SIAM J. Sci. Comput. 43(1): A109-A138 (2021) - [c8]Michael McCabe, Jed Brown:
Learning to Assimilate in Chaotic Dynamical Systems. NeurIPS 2021: 12237-12250 - [d3]Jed Brown, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Veselin Dobrev, Yohann Dudouit, Leila Ghaffari, Tzanio V. Kolev, David S. Medina, Will Pazner, Thilina Ratnayaka, Jeremy L. Thompson, Stan Tomov:
CEED/libCEED: v0.9.0. Zenodo, 2021 - [d2]Jed Brown, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Veselin Dobrev, Yohann Dudouit, Leila Ghaffari, Tzanio V. Kolev, David S. Medina, Will Pazner, Thilina Ratnayaka, Jeremy L. Thompson, Stanimire Tomov:
libCEED: Efficient Extensible Discretization. Zenodo, 2021 - [d1]Jed Brown, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Veselin Dobrev, Yohann Dudouit, Leila Ghaffari, Tzanio V. Kolev, David S. Medina, Will Pazner, Thilina Ratnayaka, Jeremy L. Thompson, Stanimire Tomov:
libCEED: Efficient Extensible Discretization. Zenodo, 2021 - [i16]Junchao Zhang, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew G. Knepley, Oana Marin, Richard Tran Mills, Todd S. Munson, Barry F. Smith, Stefano Zampini:
The PetscSF Scalable Communication Layer. CoRR abs/2102.13018 (2021) - [i15]Jeremy L. Thompson, Jed Brown, Yunhui He:
Local Fourier Analysis of P-Multigrid for High-Order Finite Element Operators. CoRR abs/2108.01751 (2021) - [i14]Jed Brown, Yunhui He, Scott P. MacLachlan:
Local Fourier analysis of Balancing Domain Decomposition by Constraints algorithms. CoRR abs/2108.01841 (2021) - [i13]Tzanio V. Kolev, Paul F. Fischer, Misun Min, Jack J. Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David S. Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy L. Thompson, Ananias Tomboulides, Vladimir Z. Tomov:
Efficient Exascale Discretizations: High-Order Finite Element Methods. CoRR abs/2109.04996 (2021) - [i12]Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Ryan Bleile, Jed Brown, Jean-Sylvain Camier, Robert Carson, Noel Chalmers, Veselin Dobrev, Yohann Dudouit, Paul F. Fischer, Ali Karakus, Stefan Kerkemeier, Tzanio V. Kolev, Yu-Hsiang Lan, Elia Merzari, Misun Min, Malachi Phillips, Thilina Rathnayake, Robert N. Rieben, Thomas Stitt, Ananias Tomboulides, Stanimire Tomov, Vladimir Z. Tomov, Arturo Vargas, Tim Warburton, Kenneth Weiss:
GPU Algorithms for Efficient Exascale Discretizations. CoRR abs/2109.05072 (2021) - [i11]Michael McCabe, Jed Brown:
Learning to Assimilate in Chaotic Dynamical Systems. CoRR abs/2111.01058 (2021) - 2020
- [j11]Paul F. Fischer, Misun Min, Thilina Rathnayake, Som Dutta, Tzanio V. Kolev, Veselin Dobrev, Jean-Sylvain Camier, Martin Kronbichler, Timothy C. Warburton, Kasia Swirydowicz, Jed Brown:
Scalability of high-performance PDE solvers. Int. J. High Perform. Comput. Appl. 34(5) (2020) - [c7]Valeria Barra, Jed Brown, Jeremy L. Thompson, Yohann Dudouit:
High-performance operator evaluations with ease of use: libCEED's Python interface. SciPy 2020: 85-90 - [i10]Jed Brown, Yunhui He, Scott P. MacLachlan, Matt Menickelly, Stefan M. Wild:
Tuning Multigrid Methods with Robust Optimization. CoRR abs/2001.00887 (2020) - [i9]Paul F. Fischer, Misun Min, Thilina Rathnayake, Som Dutta, Tzanio V. Kolev, Veselin Dobrev, Jean-Sylvain Camier, Martin Kronbichler, Tim Warburton, Kasia Swirydowicz, Jed Brown:
Scalability of High-Performance PDE Solvers. CoRR abs/2004.06722 (2020) - [i8]Tristan Konolige, Jed Brown:
Multigrid for Bundle Adjustment. CoRR abs/2007.01941 (2020) - [i7]Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Alp Dener, Matthew G. Knepley, Scott E. Kruger, Hannah Morgan, Todd S. Munson, Karl Rupp, Barry F. Smith, Stefano Zampini, Hong Zhang, Junchao Zhang:
Toward Performance-Portable PETSc for GPU-based Exascale Systems. CoRR abs/2011.00715 (2020)
2010 – 2019
- 2019
- [j10]Jed Brown, Yunhui He, Scott P. MacLachlan:
Local Fourier Analysis of Balancing Domain Decomposition By Constraints Algorithms. SIAM J. Sci. Comput. 41(5): S346-S369 (2019) - 2018
- [c6]Dmitry Duplyakin, Jed Brown, Donna Calhoun:
Evaluating Active Learning with Cost and Memory Awareness. IPDPS 2018: 214-223 - [c5]Tristan Konolige, Jed Brown:
A Parallel Solver for Graph Laplacians. PASC 2018: 3:1-3:11 - 2017
- [j9]Mark F. Adams, Eero Hirvijoki, Matthew G. Knepley, Jed Brown, Tobin Isaac, Richard Tran Mills:
Landau Collision Integral Solver with Adaptive Mesh Refinement on Emerging Architectures. SIAM J. Sci. Comput. 39(6) (2017) - [i6]Mark F. Adams, Eero Hirvijoki, Matthew G. Knepley, Jed Brown, Tobin Isaac, Richard Tran Mills:
Landau Collision Integral Solver with Adaptive Mesh Refinement on Emerging Architectures. CoRR abs/1702.08880 (2017) - [i5]Tristan Konolige, Jed Brown:
A Parallel Solver for Graph Laplacians. CoRR abs/1705.06266 (2017) - 2016
- [j8]Mark F. Adams, Jed Brown, Matthew G. Knepley, Ravi Samtaney:
Segmental Refinement: A Multigrid Technique for Data Locality. SIAM J. Sci. Comput. 38(4) (2016) - [c4]Dmitry Duplyakin, Jed Brown, Robert Ricci:
Active Learning in Performance Analysis. CLUSTER 2016: 182-191 - 2015
- [j7]Jed Brown, Matthew G. Knepley, Barry F. Smith:
Run-Time Extensibility and Librarization of Simulation Software. Comput. Sci. Eng. 17(1): 38-45 (2015) - [j6]Debojyoti Ghosh, Emil M. Constantinescu, Jed Brown:
Efficient Implementation of Nonlinear Compact Schemes on Massively Parallel Platforms. SIAM J. Sci. Comput. 37(3) (2015) - [i4]Karl Rupp, Satish Balay, Jed Brown, Matthew G. Knepley, Lois C. McInnes, Barry Smith:
On The Evolution Of User Support Topics in Computational Science and Engineering Software. CoRR abs/1510.01122 (2015) - 2014
- [c3]Dave A. May, Jed Brown, Laetitia Le Pourhiet:
pTatin3D: High-Performance Methods for Long-Term Lithospheric Dynamics. SC 2014: 274-284 - [i3]Jed Brown, Matthew G. Knepley, Barry F. Smith:
Run-time extensibility and librarization of simulation software. CoRR abs/1407.2905 (2014) - 2013
- [j5]David E. Keyes, Lois C. McInnes, Carol S. Woodward, William Gropp, Eric Myra, Michael Pernice, John B. Bell, Jed Brown, Alain Clo, Jeffrey M. Connors, Emil M. Constantinescu, Donald J. Estep, Kate Evans, Charbel Farhat, Ammar Hakim, Glenn Hammond, Glen Hansen, Judith Hill, Tobin Isaac, Xiangmin Jiao, Kirk E. Jordan, Dinesh K. Kaushik, Efthimios Kaxiras, Alice E. Koniges, Kihwan Lee, Aaron Lott, Qiming Lu, John Magerlein, Reed Maxwell, Michael McCourt, Miriam Mehl, Roger P. Pawlowski, Amanda Peters Randles, Daniel R. Reynolds, Beatrice Riviere, Ulrich Rüde, Timothy D. Scheibe, John N. Shadid, Brendan Sheehan, Mark S. Shephard, Andrew R. Siegel, Barry Smith, Xianzhu Tang, Cian Wilson, Barbara I. Wohlmuth:
Multiphysics simulations: Challenges and opportunities. Int. J. High Perform. Comput. Appl. 27(1): 4-83 (2013) - [j4]Tareq M. Malas, Aron J. Ahmadia, Jed Brown, John A. Gunnels, David E. Keyes:
Optimizing the performance of streaming numerical kernels on the IBM Blue Gene/P PowerPC 450 processor. Int. J. High Perform. Comput. Appl. 27(2): 193-209 (2013) - [j3]Jed Brown, Barry Smith, Aron J. Ahmadia:
Achieving Textbook Multigrid Efficiency for Hydrostatic Ice Sheet Flow. SIAM J. Sci. Comput. 35(2) (2013) - [i2]Matthew G. Knepley, Jed Brown, Karl Rupp, Barry F. Smith:
Achieving High Performance with Unified Residual Evaluation. CoRR abs/1309.1204 (2013) - 2012
- [j2]Rodney Josué Biezuner, Jed Brown, Grey Ercole, Eder Marinho Martins:
Computing the First Eigenpair of the p-Laplacian via Inverse Iteration of Sublinear Supersolutions. J. Sci. Comput. 52(1): 180-201 (2012) - [c2]Jed Brown, Matthew G. Knepley, David A. May, Lois Curfman McInnes, Barry Smith:
Composable Linear Solvers for Multiphysics. ISPDC 2012: 55-62 - [i1]Tareq M. Malas, Aron J. Ahmadia, Jed Brown, John A. Gunnels, David E. Keyes:
Optimizing the Performance of Streaming Numerical Kernels on the IBM Blue Gene/P PowerPC 450 Processor. CoRR abs/1201.3496 (2012) - 2010
- [j1]Jed Brown:
Efficient Nonlinear Solvers for Nodal High-Order Finite Elements in 3D. J. Sci. Comput. 45(1-3): 48-63 (2010)
2000 – 2009
- 2009
- [c1]Kathrin Burckhardt, Dominik Szczerba, Jed Brown, Krishnamurthy Muralidhar, Gábor Székely:
Fast Implicit Simulation of Oscillatory Flow in Human Abdominal Bifurcation Using a Schur Complement Preconditioner. Euro-Par 2009: 747-759
Coauthor Index
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