Parallel Scientific Computing and Optimization [electronic resource] : Advances and Applications /
Ciegis, Raimondas.editor.
Henty, David.editor.
Kågström, Bo.editor.
Žilinskas, Julius.editor.
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.
Description based upon print version of record.
Includes bibliographical references and index.
Parallel Algorithms for Matrix Computations -- RECSY and SCASY Library Software: Recursive Blocked and Parallel Algorithms for Sylvester-Type Matrix Equations with Some Applications -- Parallelization of Linear Algebra Algorithms Using ParSol Library of Mathematical Objects -- The Development of an Object-Oriented Parallel Block Preconditioning Framework -- A Sparse Linear System Solver Used in a Distributed and Heterogenous Grid Computing Environment -- Parallel Diagonalization Performance on High-Performance Computers -- Parallel Optimization -- Parallel Global Optimization in Multidimensional Scaling -- High-Performance Parallel Support Vector Machine Training -- Parallel Branch and Bound Algorithm with Combination of Lipschitz Bounds over Multidimensional Simplices for Multicore Computers -- Experimental Investigation of Local Searches for Optimization of Grillage-Type Foundations -- Management of Parallel Programming Models and Data -- Comparison of the UK National Supercomputer Services: HPCx and HECToR -- DL_POLY_3 I/O: Analysis, Alternatives, and Future Strategies -- Mixed Mode Programming on HPCx -- A Structure Conveying Parallelizable Modeling Language for Mathematical Programming -- Computational Requirements for Pulsar Searches with the Square Kilometer Array -- Parallel Scientific Computing in Industrial Applications -- Parallel Multiblock Multigrid Algorithms for Poroelastic Models -- A Parallel Solver for the 3D Simulation of Flows Through Oil Filters -- High-Performance Computing in Jet Aerodynamics -- Parallel Numerical Solver for the Simulation of the Heat Conduction in Electrical Cables -- Orthogonalization Procedure for Antisymmetrization of J-shell States -- Parallel Direct Numerical Simulation of an Annular Gas–Liquid Two-Phase Jet with Swirl -- Parallel Numerical Algorithm for the Traveling Wave Model -- Parallel Algorithm for Cell Dynamics Simulation of Soft Nano-Structured Matter -- Docking and Molecular Dynamics Simulation of Complexes of High and Low Reactive Substrates with Peroxidases.
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.
Probabilities.
Computers.
Operations research.
Decision making.
Management science.
Artificial intelligence.
Matrix theory.
Algebra.
Probability Theory and Stochastic Processes.
Theory of Computation.
Operations Research/Decision Theory.
Operations Research, Management Science.
Artificial Intelligence.
Linear and Multilinear Algebras, Matrix Theory.

Springer Optimization and Its Applications