This book surveys the major topics that are essential to high-performance simulation on parallel computers or computational clusters. These topics, including programming models, load balancing, mesh generation, efficient numerical solvers, and scientific software, are vital ingredients in the research fields of computer science, numerical analysis, and scientific computing. In addition to presenting the technological basis, this volume addresses selected applications that combine different techniques in order to meet demanding computational challenges. Through contributions from a wide range of internationally acknowledged experts, this book gives a to-the-point and self-containing overview of efficient ways to deal with large-scale simulation problems.
Numerical Solution of Partial Differential Equations on P...
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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high performance preconditioners, meshing templates, work set sizes, coarse operator, ghost nodes, overlapping cell layers, parallel multigrid method, stencil entries, geometric locality, subdomain meshes, hypre library, geometric multigrid methods, mesh generation methods, parallel mesh generation, bidomain equations, mesh generation codes, parallel algebraic multigrid, coarsening schemes, assumed partitioning, smoothed aggregation, neighboring subdomains, block preconditioner, coarse grid solver, coarsest graph, bidomain model Key Phrases - Capitalized Phrases (CAPs): (learn more)
Lecture Notes, New York, Sandia National Laboratories, Argonne National Laboratory, Lawrence Livermore National Laboratory, Hello World, Computer Society, University of Minnesota, Co-Array Fortran, Applied Mathematics, Parallel Distrib, Graphics Processor Units, Numerical Linear Algebra, Department of Energy, International Meshing Roundtable, San Francisco, University of Utah, Earth Simulator, High Performance Distributed Computing, Academic Press, Applied Numerical Mathematics, Architecture Review Board, Computer Aided Design, Computing Appl, Fragment Processor New!
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high performance preconditioners, meshing templates, work set sizes, coarse operator, ghost nodes, overlapping cell layers, parallel multigrid method, stencil entries, geometric locality, subdomain meshes, hypre library, geometric multigrid methods, mesh generation methods, parallel mesh generation, bidomain equations, mesh generation codes, parallel algebraic multigrid, coarsening schemes, assumed partitioning, smoothed aggregation, neighboring subdomains, block preconditioner, coarse grid solver, coarsest graph, bidomain model Key Phrases - Capitalized Phrases (CAPs): (learn more)
Lecture Notes, New York, Sandia National Laboratories, Argonne National Laboratory, Lawrence Livermore National Laboratory, Hello World, Computer Society, University of Minnesota, Co-Array Fortran, Applied Mathematics, Parallel Distrib, Graphics Processor Units, Numerical Linear Algebra, Department of Energy, International Meshing Roundtable, San Francisco, University of Utah, Earth Simulator, High Performance Distributed Computing, Academic Press, Applied Numerical Mathematics, Architecture Review Board, Computer Aided Design, Computing Appl, Fragment Processor New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 62
books:
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3
books
cite this book:
- Computational Partial Differential Equations by Hans P. Langtangen on 6 pages
- Computer Science by Richard Jones on 5 pages
- Los Alamos (Spanish Edition) by Martin Cruz Smith on page 325, page 332, and page 373
- Advanced Topics in Computational Partial Differential Equations: Numerical Methods and Diffpack Programming (Lecture Notes in Computational Science and Engineering) by Hans Petter Langtangen on page 293, page 409, and page 411
- Supercomputer Applications by in Supercomputer Applications Symposium (1982- ) 1984 West Lafayette on page 53, and page 87
See all 62 books this book cites
- Proceedings of the 14th International Meshing Roundtable by Byron W. Hanks in Back Matter
- Rules of Thumb: 71 Authors Reveal Their Fiction Writing Fixations by Michael Martone on page 124
- Python Scripting for Computational Science (Texts in Computational Science and Engineering) by Hans Petter Langtangen in Back Matter
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