Object Based Parallel And Distributed Computation
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Object-Based Parallel and Distributed Computation
Author: Jean-Pierre Briot
language: en
Publisher: Springer Science & Business Media
Release Date: 1996-07-24
This book contains a refereed collection of revised papers selected from the presentations at the France-Japan Workshop on Object-Based Parallel and Distributed Computation, OBPDC'95, held in Tokyo in June 1995. The 18 full papers included in the book constitute a representative, well-balanced set of timely research contributions to the growing field of object-based concurrent computing. The volume is organized in sections on massively parallel programming languages, distributed programming languages, formalisms, distributed operating systems, dependable distributed computing, and software management.
Object-Based Distributed Programming
Author: Rachid Guerraoui
language: en
Publisher: Springer Science & Business Media
Release Date: 1994-05-27
Interest has grown rapidly over the past dozen years in the application of object-oriented programming and methods to the development of distributed, open systems. This volume presents the proceedings of a workshop intended to assess the current state of research in this field and to facilitate interaction between groups working on very different aspects of object-oriented distributed systems. The workshop was held as part of the 1993 European Conference on Object-Oriented Programming (ECOOP '93). Over fifty people submitted position papers and participated in the workshop, and almost half presented papers. The presented papers were carefully reviewed and revised after the workshop, and 14 papers were selected for this volume.
Parallel and Distributed Computation: Numerical Methods
Author: Dimitri Bertsekas
language: en
Publisher: Athena Scientific
Release Date: 2015-03-01
This highly acclaimed work, first published by Prentice Hall in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms. This is an extensive book, which aside from its focus on parallel and distributed algorithms, contains a wealth of material on a broad variety of computation and optimization topics. It is an excellent supplement to several of our other books, including Convex Optimization Algorithms (Athena Scientific, 2015), Nonlinear Programming (Athena Scientific, 1999), Dynamic Programming and Optimal Control (Athena Scientific, 2012), Neuro-Dynamic Programming (Athena Scientific, 1996), and Network Optimization (Athena Scientific, 1998). The on-line edition of the book contains a 95-page solutions manual.