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Current thinking about state-of-the-art infrastructure for computational science isdominatedbytwoconcepts: computingclustersandcomputationalgrids.Cl- ter architectures consistently hold the majority of slots on the list of Top 500 supercomputersites, andcomputationalGrids, inbothexperimentalandprod- tiondeployments, havebecome commonin academic, governmentandindustrial research communities around the world. The message passing is the dominant programmingparadigmforhigh-performancescienti?ccomputingonthesearc- tectures. MPI and PVM have emerged as standard programming environments in the...

An analytical overview of the state of the art, open problems, and future trends in heterogeneous parallel and distributed computing

This book provides an overview of the ongoing academic research, development, and uses of heterogeneous parallel and distributed computing in the context of scientific computing. Presenting the state of the art in this challenging and rapidly evolving area, the book is organized in five distinct parts:

• Heterogeneous Platforms: Taxonomy, Typical Uses, and Programming Issues

• Performance Models of Heterogeneous Platforms and...