Friday, January 30, 2009

Measuring Computer Performance or The Engineering Design of Systems

Measuring Computer Performance: A Practitioner's Guide

Author: David J Lilja

Measuring Computer Performance sets out the fundamental techniques used in analyzing and understanding the performance of computer systems. The emphasis is on practical methods of measurement, simulation, and analytical modeling. David Lilja discusses performance metrics and provides detailed coverage of the strategies used in benchmark programs. In addition to intuitive explanations of key statistical tools, he describes the general "design of experiments" technique and shows how the maximum amount of information can be obtained with minimum effort. Features include appendices listing common probability distributions and statistical tables and a glossary of important technical terms.



Table of Contents:
Preface
Acknowledgements
1Introduction1
2Metrics of performance9
3Average performance and variability25
4Errors in experimental measurements43
5Comparing alternatives61
6Measurement tools and techniques82
7Benchmark programs111
8Linear-regression models139
9The design of experiments157
10Simulation and random-number generation181
11Queueing analysis217
App. A: Glossary239
App. BSome useful probability distributions242
App. CSelected statistical tables249
Index258

Read also Cocina Vegetariana Baja En Calorias or Tapas

The Engineering Design of Systems: Models and Methods

Author: Dennis M Bued

Systems engineering is the design of a complex interconnection of many elements to maximize performance. As such, the science relates to all fields of engineering. While systems engineering has always played an important role in industrial and military applications, advances in communications and computer technology have made this discipline especially relevant. This book introduces design methods and models used by systems engineers in the real world. It offer a comprehensive, integrated treatment that includes modeling, underlying design principles, and the process of optimization for peak performance.



No comments:

Post a Comment