Software Optimization for High Performance Computing: Creating Faster Applications

✍ Scribed by Wadleigh K.R.

Tongue: English
Leaves: 324
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Prentice Hall, 2000 — 377 p.
This book is written for programmers who want to get high performance from the software they write. The optimization techniques discussed are applicable to all computers, but are of most interest to designers of software for high performance computers, since they are most concerned with high performance. The main focus is on UNIX, though since Windows NT is now being used on high performance servers, there is limited coverage on this. Single processor and parallel performance is discussed.

Contents
Introduction.
Hardware Overview-Your Work Area.
Processors: The Core of High Performance Computing.
Data Storage.
An Overview of Parallel Processing.
Software Techniques-The Tools.
How the Compiler Can Help and Hinder Performances.
Predicting and Measuring Performance.
Is High Performance Computing Language Dependent
Parallel Processing-An Algorithmic Approach.
Applications-Using The Tools.
High Performance Libraries.
Mathematical Kernels: The Building Blocks of High Performance.
Faster Solutions for Systems of Equations.
High Performance Algorithms and Approaches for Signal Processing.
Index.

✦ Subjects

Информатика и вычислительная техника;Параллельные вычисления и ВС

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