Techniques for Optimizing Applications: High Performance Computing

✍ Scribed by Garg R.P.

• Tongue: English
• Leaves: 662
• Category: Library

✦ Synopsis

Prentice Hall, 2001 — 672 p.
This book is a practical guide to performance optimization of computationally intensive programs on Sun UltraSPARC platforms. It is primarily intended for developers of technical or high performance computing (HPC) applications for the Solaris(tm) operating environment. This audience includes both independent software vendor (ISV) developers and noncommercial developers. It can also be used by end-users of HPC applications to help them better understand how applications utilize system resources. The book presents information so that it follows logical stages of the process for application development and optimization. We pay special attention to issues related to parallel applications and to using appropriate performance measurement tools. Wherever applicable, sections are illustrated with code examples that show benefits of methods described. Unless otherwise noted, topics in this book are not limited to a particular programming language, parallelization method, software version, or hardware product. However, emphasis is on techniques relevant to applications written in Fortran 77, Fortran 90, and C, because these languages are most commonly used in HPC and technical applications. Most topics can be applied to C++ programs; however, we do not address performance optimization issues specific to object-oriented programming.

Contents
Acknowledgments.
Preface.
Who Should Read This Book.
How This Book Is Organized.
Additional Resources.
Code Examples.
Typographical Conventions.
Getting Started.
Introduction.
Overview of Sun UltraSPARC Solaris Platforms.
Application Development on Solaris.
Optimizing Serial Applications.
Measuring Program Performance.
Basic Compiler Optimizations.
Advanced Compiler Optimizations.
Linker and Libraries in Performance Optimization.
Source Code Optimization.
Loop Optimization.
Optimizing Parallel Applications.
Parallel Processing Models on Solaris.
Parallel Performance Measurement Tools.
Optimization of Explicitly Threaded Programs.
Optimization of Programs Using Compiler Parallelization.
Optimization of Message-Passing Programs.
Appendices.
References.
Index.

✦ Subjects

Информатика и вычислительная техника;Методы программирования и прикладные алгоритмы