Book Description:
Concurrent computing is the concurrent (simultaneous) execution of multiple interacting computational tasks. These tasks may be implemented as separate programs, or as a set of processes or threads created by a single program. The tasks may also be executing on a single processor, several processors in close proximity, or distributed across a network. Concurrent computing is related to parallel computing, but focuses more on the interactions between tasks. Correct sequencing of the interactions or communications between different tasks, and the coordination of access to resources that are shared between tasks, are key concerns during the design of concurrent computing systems. This new book presents the latest research in the field from around the world.

Table of Contents:
Preface

Chapter 1 - Caravela: A High Performance Stream-based Concurrent Computing Platform; pp. 1-37
(Shinichi Yamagiwa, Leonel Sousa, INESC-ID/IST, TU Lisbon, Portugal)

Chapter 2 - Distributed Shared Memory Systems: Principles and Models; pp. 39-65
(A. Boukerche, University of Ottawa, Canada)

Chapter 3 - Performance Analysis of Scheduling Parallel Tasks;
pp. 67-92
(Keqin Li, State University of New York, USA)

Chapter 4 - Multi-Channel Parallel Adaptation Theory for Rule Discovery; pp. 93-111
(Li Min Fu, Department of CISE, University of Florida)

Chapter 5 - An Overview of Parallel and Distributed Java for Heterogeneous Systems: Approaches and Open Issues; pp. 113-131
(Jameela Al-Jaroodi, Nader Mohammad, The Electrical and Computer Engineering Department, Stevens Institute of Technology, NJ, Hong Jiang, David Swanson, Department of Computer Science and Engineering, University of Nebraska-Lincoln, NE)

Chapter 6 - The Performance of Routing Algorithms under Bursty Traffic Loads; pp. 133-147
(T.M. Pinkston, J. Shin, University of Southern California, USA)

Chapter 7 - An Extension of Ambient Calculus for Un-nested Structures; pp. 149-164
(Masaki Murakami, Department of Computer Science, Graduate School of Natural Science and Technology, Okayama University, Japan)

Chapter 8 - Efficient Exploitation of Grids for Large-scale Parallel Applications; pp. 165-184
(Young Choon Lee, Riky Subrata, Albert Y. Zomaya, School of Information Technologies, The University of Sydney, Australia)

Chapter 9 - Support and Efficiency of Nested Parallelism in OpenMP Implementations; pp. 185-204
(Panagiotis E. Hadjidoukas, Vassilios V. Dimakopoulos, Department of Computer Science, University of Ioannina, Greece)

Chapter 10 - A Parallel Implementation of an Iterative Reconstruction Algorithm Using a Space-Based Programming Model;
pp. 205-212
(P. Knoll and S. Mirzaei, Department of Nuclear Medicine, Austria)

Chapter 11 - Solving Maximun Concurrent Flow Problems in a Signal-Controlled Road Network; pp. 213-233
(Suh-Wen Chiou, Department of Information Management, National Dong Hwa University, Taiwan)

Index