Synopsis
This 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
Preface;
An Overview of Parallel and Distributed Java for Heterogeneous Systems: Approaches and Open Issues;
Optimising Dense Linear Algebra Algorithms on Heterogeneous Machines;
Towards Distributed Process Networks with CORBA;
Parallel Adaptive Mesh Refinement with Load Balancing on Heterogeneous Cluster;
Evaluation of the DIET Hierarchical Metacomputing Architecture;
Computing the Inverse of a Triangular Matrix on Heterogeneous Clusters;
Utilisation-Based Techniques for Statically Mapping Heterogeneous Applications onto the HiPer-D Heterogeneous Computing System;
Index.