Parallel scientific computing and optimization: advances and applications

This work introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including survey chapters 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 architechtures, including distributed memory computers with multicore processors; a wide range of industrial applications: parallel simulation of flows through oil filters as well asin porous and gas media, jet aerodynamics, heat conduction in electrical cables, nonlinear optics processes in tapered lasers, and molecular and cell dynamics Includes 23 survey articles written by distinguished mathematicians Presents new developments in the construction, analysis, and implementation of parallel computing algorithms Construction and analysis of parallel algorithms for linear algebra and optimization problems Different aspects of parallel architechtures, including distributed memory computers with multicore processors INDICE: Preface.- I. Parallel Algorithms for Matrix Computations.- II. Parallel Optimization.- III. Management of Data and Programs on Modern Supercomputers.- IV. Parallel Scientific Computing in Industrial Applications.- Index.

• ISBN: 978-0-387-09706-0
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 300
• Fecha Publicación: 01/12/2008
• Nº Volúmenes: 1
• Idioma: Inglés