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Parallel and distributed scientific and engineering computing

✍ Scribed by Laurence T Yang; Yi Pan; Minyi Guo


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
143 KB
Volume
29
Category
Article
ISSN
0167-8191

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πŸ“œ SIMILAR VOLUMES


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✍ V.S. Sunderam; G.A. Geist πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 214 KB

Heterogeneous network-based distributed and parallel computing is gaining increasing acceptance as an alternative or complementary paradigm to multiprocessor-based parallel processing as well as to conventional supercomputing. While algorithmic and programming aspects of heterogeneous concurrent com

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The continuous evolution of computing and networking technologies makes available to an increasing community parallel and distributed systems that can deliver impressive performance, along with a large amount of software, data and other resources. However, using such resources in an efficient way is

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We discuss the role of Java and Web technologies for general simulation. We classify the classes of concurrency typical in problems and analyse separately the role of Java in user interfaces, coarse grain software integration and detailed computational kernels. We conclude that Java could become a m

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A rather recent approach in programming parallel and distributed systems is that of coordination models and languages. Coordination programming enjoys a number of advantages such as the ability to express different software architectures and abstract interaction protocols, supporting multilinguality