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Algorithms and Tools for Parallel Computing On Heterogeneous Clusters
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Editors: F. Desprez, E. Fleury, A. Kalinov, and A. Lastovetsky
Book Description:
This new book features chapters which explore algorithms, programming languages, systems, tools and theoretical models aimed at high performance computing on heterogeneous networks of computers.

Table of Contents:
Chapter Availability

Individual chapters are available for $25 each by sending an email to Nova will provide the chapter for your easy downloading or send it as an email attachment if you prefer.


An Overview of Parallel and Distributed Java for Heterogeneous Systems: Approaches and Open Issues
(Jameela Al-Jaroodi, Nader Mohamed, Hong Jiang and David Swanson)

Optimizing Dense Linear Algebra Algorithms on Heterogeneous Machines
(Jorge Barbosa, Joćo Taveres and A.J. Padilha)

Towards Distributed Process Networks with CORBA
(Abdelkader Amar, Pierre Boulet and J.L. Jean-Luc Dekeyser)

Parallel Adaptive Mesh Refinement with Load Balancing on Heterogeneous Cluster
(Sergey P. Kopyssov and Alexander K. Novikov)

Evaluation of the DIET Hierarchical Metacomputing Architecture
(S. Contassot-Vivier, F. Lombard, J.-M. Nicod and L. Philippe)

Computing the Inverse of a Triangular Matrix on Heterogeneous Clusters
(Zaher Mahjoub, Wahid Nasri and Denis Trystram)

Utilization-Based Techniques for Statically Mapping Heterogeneous Applications onto the HiPer-D Heterogeneous Computing System
(Shoukat Ali, Jong-Kook Kim, Yang Yu, Shriram B. Gundala, Sethavidth Gertphol, Howard Jay Siegel, Anthony A. Maciejewski and Viktor Prasanna)


   Binding: Hardcover
   Pub. Date: 2006
   ISBN: 1-60021-049-X
   Status: AV
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
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Algorithms and Tools for Parallel Computing On Heterogeneous Clusters