Ebook: Parallel Scientific Computing and Optimization: Advances and Applications

Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications.

Key features include:

* construction and analysis of parallel algorithms for linear algebra and optimization problems;

* different aspects of parallel architectures, including distributed memory computers with multicore processors;

* a wide range of industrial applications: parallel simulation of flows through oil filters as well as in porous and gas media, jet aerodynamics, heat conduction in electrical cables, nonlinear optics processes in tapered lasers, and molecular and cell dynamics.

This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.

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Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications.

Key features include:

* construction and analysis of parallel algorithms for linear algebra and optimization problems;

* different aspects of parallel architectures, including distributed memory computers with multicore processors;

* a wide range of industrial applications: parallel simulation of flows through oil filters as well as in porous and gas media, jet aerodynamics, heat conduction in electrical cables, nonlinear optics processes in tapered lasers, and molecular and cell dynamics.

This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.

---

Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications.

Key features include:

* construction and analysis of parallel algorithms for linear algebra and optimization problems;

* different aspects of parallel architectures, including distributed memory computers with multicore processors;

* a wide range of industrial applications: parallel simulation of flows through oil filters as well as in porous and gas media, jet aerodynamics, heat conduction in electrical cables, nonlinear optics processes in tapered lasers, and molecular and cell dynamics.

This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.

Content:
Front Matter....Pages I-XXIII
Front Matter....Pages 1-1
RECSY and SCASY Library Software: Recursive Blocked and Parallel Algorithms for Sylvester-Type Matrix Equations with Some Applications....Pages 3-24
Parallelization of Linear Algebra Algorithms Using ParSol Library of Mathematical Objects....Pages 25-36
The Development of an Object-Oriented Parallel Block Preconditioning Framework....Pages 37-46
A Sparse Linear System Solver Used in a Distributed and Heterogenous Grid Computing Environment....Pages 47-56
Parallel Diagonalization Performance on High-Performance Computers....Pages 57-66
Front Matter....Pages 67-67
High-Performance Parallel Support Vector Machine Training....Pages 69-82
Parallel Branch and Bound Algorithm with Combination of Lipschitz Bounds over Multidimensional Simplices for Multicore Computers....Pages 83-92
Experimental Investigation of Local Searches for Optimization of Grillage-Type Foundations....Pages 93-102
Front Matter....Pages 103-112
Comparison of the UK National Supercomputer Services: HPCx and HECToR....Pages 113-113
DL_POLY_3 I/O: Analysis, Alternatives, and Future Strategies....Pages 115-124
Mixed Mode Programming on HPCx....Pages 125-132
A Structure Conveying Parallelizable Modeling Language for Mathematical Programming....Pages 133-143
Computational Requirements for Pulsar Searches with the Square Kilometer Array....Pages 145-156
Front Matter....Pages 157-165
Parallel Multiblock Multigrid Algorithms for Poroelastic Models....Pages 167-167
A Parallel Solver for the 3D Simulation of Flows Through Oil Filters....Pages 169-180
High-Performance Computing in Jet Aerodynamics....Pages 181-191
Orthogonalization Procedure for Antisymmetrization of J-shell States....Pages 193-206
Parallel Direct Numerical Simulation of an Annular Gas–Liquid Two-Phase Jet with Swirl....Pages 207-212
Front Matter....Pages 213-221
Parallel Numerical Algorithm for the Traveling Wave Model....Pages 223-236
Parallel Algorithm for Cell Dynamics Simulation of Soft Nano-Structured Matter....Pages 167-167
Docking and Molecular Dynamics Simulation of Complexes of High and Low Reactive Substrates with Peroxidases....Pages 237-251
Back Matter....Pages 253-262
....Pages 263-271