Introduction to High Performance Computing for Scientists and Engineers

Georg Hager

ISBN 10: 1138470899 / ISBN 13: 9781138470897

Published by Taylor & Francis Ltd Nov 2017, 2017

About this Item

Neuware - Suitable for scientists, engineers, and students, this book presents a practical introduction to high performance computing (HPC). It discusses the architecture of modern processors, providing a solid understanding of the performance potentials and limitations of current architectures and code.

Seller Inventory # 9781138470897

Bibliographic Details

• Title: Introduction to High Performance Computing for Scientists and Engineers
• Publisher: Taylor & Francis Ltd Nov 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 1138470899
• ISBN 13: 9781138470897
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 162H x 28D millimeters 241 millimeters width by 162 millimeters height by 28 millimeters depth
• Weight: 690 grams

About this title

Synopsis

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.

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.