Introduction to High Performance Computing for Scientists and Engineers

Wellein Gerhard Hager Georg

ISBN 10: 143981192X / ISBN 13: 9781439811924

Edité par Taylor & Francis Group, 2010

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pp. 356 There will be a 4-page color insert containing four images. Per Randi Cohen, one image per page. This item is printed on demand. N° de réf. du vendeur 6734271

Détails bibliographiques

Titre : Introduction to High Performance Computing ...

Éditeur : Taylor & Francis Group

Date d'édition : 2010

Reliure : Couverture souple

Etat : New

A propos de ce titre

Synopsis :

Rare Book

Présentation de l'éditeur:

Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the authors gained a unique perspective on the requirements and attitudes of users as well as manufacturers of parallel computers.

The text first introduces the architecture of modern cache-based microprocessors and discusses their inherent performance limitations, before describing general optimization strategies for serial code on cache-based architectures. It next covers shared- and distributed-memory parallel computer architectures and the most relevant network topologies. After discussing parallel computing on a theoretical level, the authors show how to avoid or ameliorate typical performance problems connected with OpenMP. They then present cache-coherent nonuniform memory access (ccNUMA) optimization techniques, examine distributed-memory parallel programming with message passing interface (MPI), and explain how to write efficient MPI code. The final chapter focuses on hybrid programming with MPI and OpenMP.

Users of high performance computers often have no idea what factors limit time to solution and whether it makes sense to think about optimization at all. This book facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge. It also prepares readers for studying more advanced literature.

Read about the authors’ recent honor: Informatics Europe Curriculum Best Practices Award for Parallelism and Concurrency