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Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science) [Paperback]

Georg Hager , Gerhard Wellein

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Book Description

7 July 2010 143981192X 978-1439811924 1

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


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Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science) + High Performance Computing: Programming and Applications (Chapman & Hall/CRC Computational Science)
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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

About the Author

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.


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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Amazon.com: 4.7 out of 5 stars  3 reviews
14 of 15 people found the following review helpful
5.0 out of 5 stars best book of its kind 24 Oct 2011
By Jeff - Published on Amazon.com
Format:Paperback
There are not many books available on the subject of high-performance programming, but this is the best of them, in part due to it being up-to-date. I also own Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics), High Performance Computing (RISC Architectures, Optimization & Benchmarks), and Performance Optimization of Numerically Intensive Codes (Software, Environments and Tools), all of which I like, but none of these address the current generation of computer hardware.

This book should be required reading for anyone who programs supercomputers or needs to write performance-critical scientific code. I find the examples to be relevant and well-written; I currently use them in workshops at the Argonne Leadership Computing Facility.

The topics covered include serial optimization, OpenMP programming and MPI programming. I find the serial optimization and treatment of memory hierarchies to be the most useful. The OpenMP coverage is also good and not duplicated elsewhere. There is nothing wrong with the treatment of MPI other than it is too short to be useful for some.

This book intentionally overlooks performance issues related to programming language, particularly C++, so if that is your interest, there are plenty of other good books. Most of the examples are in Fortran but I have no trouble reproducing them in C.
1 of 2 people found the following review helpful
5.0 out of 5 stars Great book if you're looking to optimize performance 11 Oct 2012
By jd305 - Published on Amazon.com
Format:Paperback|Verified Purchase
This is a great guide for someone looking to optimize code. I find that their way of presenting the material is great: they start off with basic performance optimizations that can be applied to serial code and then go on to address parallel code. Even computer scientists who are already familiar with the relevant computer architecture issues can benefit.
0 of 1 people found the following review helpful
4.0 out of 5 stars I find it to be pretty well written but not always organized the greatest 29 Jun 2014
By M. Sinclair - Published on Amazon.com
Format:Paperback|Verified Purchase
I would give this 4.5 stars if I could. I find it to be pretty well written but not always organized the greatest. This means if you want to study a certain concept (e.g., OpenMP) you need to hop around the book a lot. This is a stylistic thing -- clearly the authors just think of organizing things differently than me, but I would prefer a different ordering. Having said that, all of the material is there and helpful.
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