Despite many years of research and development, parallel programming remains a difficult and specialized task. A simple but general model for parallel processing is still lacking.This book proposes a model that adds parallelism to functions and objects, allowing simple specification of both parallel execution and inter-process communication. Many examples of applying parallel programming are given.

Lower costs and higher degrees of integration in chip architecture that allow parallel processing are described. The impact on parallel processing algorithms is examined with offerred solutions. Advantages of parallel processing for large computational problems are examined.

This proceedings collects papers in the areas of computer algorithms, databases and parallel processing. The papers were presented by very prominent computer scientists from Japan and Singapore invited to a three days JSPS-NUS seminar held in Singapore on Dec '94.

This text on programming models for massively parallel computers covers such topics as: programming methodology; compilers; optimizations; implementations; experiences; programming languages; tools and environments; and theory.

This book offers experts on programming and applications for "commodity supercomputers." It is organized into three areas: programming environments and development tools, Java for high performance computing, and algorithms and applications. These three areas have seen major advances in recent years, and this book addresses these subjects with breadth and depth. For developers, researchers, administrators, managers, and users interested in the future of computing.