Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and Applications

Description

This book focuses on advanced techniques used in the design of efficient parallel programs. It presents a wide variety of different models of parallel and distributed computation and applications of these models to the design of efficient algorithms to solve numerical and non-numerical problems. It contains general and specific texts about advanced algorithms for parallel computation and gathers together the state-of-the-art on parallelism with contributions from researchers actively working with parallel computation. Its chapters cover a broad variety of models, ranging from abstract shared-memory models such as PRAM to more realistic models of distributed memory, including CGM, LogP and BSP. To the best of our knowledge, no other book in the literature covers state-of-the-art about parallel models as approached in this special edition. Audience: Practitioners, researchers and graduate students in Computer Science, Mathematics, Engineering and Sciences.

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  Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and...

  • 2013-06-29
  • 323 pages
  • Ebook
  • Springer Science & Business Media

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