Parallel Numerical Methods
Parallel Numerical Methods is a computational methodology within numerical analysis that employs concurrent algorithms and distributed or shared computing resources to accelerate the solution of mathematical problems involving large-scale numerical computations.
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Communication-avoiding AlgorithmsDirect SolversLoad Balancing For Numerical AlgorithmsParallel Adaptive Mesh RefinementParallel Eigenvalue ComputationParallel Fast Fourier TransformsParallel Linear SolversParallel Matrix FactorizationParallel Nonlinear Equation SolversParallel Numerical Differentiation
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Equation of State Calculations by Fast Computing Machines
N. Metropolis, Arianna W. Rosenbluth, M. N. Rosenbluth et al. · The Journal of Chemical Physics · 1953 · 37.1K citations
Frédéric Hecht · Journal of Numerical Mathematics · 2012 · 3.3K citations · Full text
A.C. Hindmarsh, Peter N. Brown, Keith Eric Grant et al. · ACM Transactions on Mathematical Software · 2005 · 2.6K citations · Full text
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University of Illinois Urbana-Champaign
Urbana, United States
41 h-index
223 publications
11K citations

Centre National de la Recherche Scientifique
Paris, France
40 h-index
334 publications
14.5K citations

Lawrence Livermore National Laboratory
Livermore, United States
39 h-index
187 publications
29K citations
The University of Texas at Austin
Austin, United States
39 h-index
189 publications
13.4K citations
Stanford University
Stanford, United States
37 h-index
153 publications
10.3K citations
Argonne National Laboratory
Lemont, United States
37 h-index
200 publications
10K citations

University of Minnesota
Minneapolis, United States
35 h-index
159 publications
12.6K citations
University of Colorado Boulder
Boulder, United States
34 h-index
141 publications
9.7K citations
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