Parallel Scientific Computing and Optimization: Advances and Applications

ISBN-13: 9781441918840 / Angielski / Miękka / 2010 / 274 str.

Raimondas Ciegis; David Henty; Bo Kagstrom

Opis

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

Recenzje

From the reviews:

"This book reflects the state of the art in parallel algorithms and their implementation for solving optimization problems and applications involving such problems. ... the volume is recommended for graduate students and researchers in applied mathematics and computer science. Scientists engaged in parallel scientific computing ... welcome this compilation of latest achievements in this field." (Dana Petcu, Mathematical Reviews, Issue 2009 m)

Spis treści

Preface.- Part I 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 Developments of an Object-Oriented Parallel Block Preconditioning Framework.- A Sparse Linear System Solver Used in a Distributed and Heterogenous Grid Computing Environment.- Parallel Diagonalization Preformance on High Performance Computers.- Part II 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.- Part III 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 Parallelisable Modelling Language for Mathematical Programming.- Computational Requirements for Pulsar Searches with the Square Kilometre Array.- Part IV 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 Simulationof Complexes of High and Low Reactive Substrates with Peroxidases.- Index.

Blurb

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.