Introduction to High Performance Computing for Scientists and Engineers

Georg Hager, Gerhard Wellein

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English

CRC Press
28 November 2017

Computing: general; Supercomputers; Computer architecture & logic design

Series: Chapman & Hall/CRC Computational Science

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 non-uniform 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.

By: Georg Hager, Gerhard Wellein
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9781138470897
ISBN 10: 1138470899
Series: Chapman & Hall/CRC Computational Science
Pages: 360
Publication Date: 28 November 2017
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Modern Processors. Basic Optimization Techniques for Serial Code. Data Access Optimization. Parallel Computers. Basics of Parallelization. Shared-Memory Parallel Programming with OpenMP. Efficient OpenMP Programming. Locality Optimizations on ccNUMA Architectures. Distributed-Memory Parallel Programming with MPI. Efficient MPI Programming. Hybrid Parallelization with MPI and OpenMP. Appendices. Bibliography. Index.

Georg Hager is a senior research scientist in the high performance computing group of the Erlangen Regional Computing Center at the University of Erlangen-Nuremberg in Germany. Gerhard Wellein leads the high performance computing group of the Erlangen Regional Computing Center and is a professor in the Department for Computer Science at the University of Erlangen-Nuremberg in Germany.

Reviews for Introduction to High Performance Computing for Scientists and Engineers

Georg Hager and Gerhard Wellein have developed a very approachable introduction to high performance computing for scientists and engineers. Their style and description is easy to read and follow. ... This book presents a balanced treatment of the theory, technology, architecture, and software for modern high performance computers and the use of high performance computing systems. The focus on scientific and engineering problems makes this both educational and unique. I highly recommend this timely book for scientists and engineers. I believe this book will benefit many readers and provide a fine reference. -From the Foreword by Jack Dongarra, University of Tennessee, Knoxville, USA