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High Performance Cluster Computing: Programming and Applications Volume 2 [Englisch] [Lehrbuch]

Rajkumar Buyya
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Inhaltsverzeichnis

Preface I Programming Environments and Development Tools Parallel Programming Models and Paradigms Parallel Programming Languages and Environments MPI and PVM Programming Linking Message-Passing Environments Active Objects Using Scoped Behavior to Optimize Data Sharing Idioms Component-Based Development Approach Hypercomputing with LiPS An Efficient Tuple Space Programming Environment Debugging Parallelized Code WebOS: Operating System Services for Wide-Area Applications II Java for High Performance Computing Distributed-Object Computing Java and Different Flavors of Parallel Programming Models The HPspmd Model and its Java Binding Web-Based Parallel Computing with Java III Algorithms and Applications Object-Oriented Implementation of Parallel Genetic Algorithms Application-Specific Load Balancing on Heterogeneous Systems Time Management in Parallel Simulation Hardware System Simulation Real-Time Resource Management Middleware: Open Systems and Applications Data Placement in Shared-Nothing Database Systems Parallel Inference with Very Large Knowledge Bases MaRT: Lazy Evaluation for Parallel Ray Tracing Fast Content-Based Image Retrieval Climate Ocean Modeling Computational Electromagnetics CFD Simulation: A Case Study in Software Engineering Quantum Reactive Scattering Calculations Biomedical Applications Modeling A Glossary Index

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