Introduction to High Performance Computing for Scientists and Engineers 1st edition by Georg Hager, Gerhard Wellein ISBN 143981192X 978-1439811924

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ISBN 10: 143981192X  
ISBN 13 978-1439811924
Author: Georg Hager, Gerhard Wellein

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.

Introduction to High Performance Computing for Scientists and Engineers 1st Table of contents:

Chapter 1: Modern processors

Chapter 2: Basic optimization techniques for serial code

Chapter 3: Data access optimization

Chapter 4: Parallel computers

Chapter 5: Basics of parallelization

Chapter 6: Shared-memory parallel programming with OpenMP

Chapter 7: Efficient OpenMP programming

Back cover

Chapter 8: Locality optimizations on ccNUMAarchitectures

Chapter 9: Distributed-memory parallel programming with MPI

Chapter 10: Efficient MPI programming

Chapter 11: Hybrid parallelization with MPI andOpenMP

 
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Georg Hager,Gerhard Wellein,High Performance,Computing for Scientists