Parallel Computing on Heterogeneous Networks

• New approaches to parallel computing are being developed that make better use of the heterogeneous cluster architecture
• Provides a detailed introduction to parallel computing on heterogenous clusters
• All concepts and algorithms are illustrated with working programs that can be compiled and executed on any cluster
• The algorithms discussed have practical applications in a range of real-life parallel computing problems, such as the N-body problem, portfolio management, and the modeling of oil extraction

Lastovetsky (computer science, University College-Dublin) overviews the evolution of parallel computer architectures in relation to the development of parallel programming models and tools, presents the mpC parallel programming language, and spotlights advanced mpC applications involving heterogeneous clusters. All concepts and algorithms are illustrated with working programs that can be compiled or executed on any cluster. The book can be used for an introductory university course on parallel programming systems. Annotation ©2003 Book News, Inc., Portland, OR

ALEXEY L. LASTOVETSKY, PhD, is a lecturer in the Department of Computer Science at University College, Dublin. Previously, he was a senior member of the technical staff at Iona Technologies, Ireland, and has also held appointments at the Russian Academy of Sciences and the Moscow State University.