Parallel Scientific Computing and Optimization Advances and Applications [Hardcover]

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.

This book introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. It includes surveys written by 23 notable researchers in the field and a wide range of industrial applications.

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 FoundatlC<