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eBook Measuring Computer Performance: A Practitioner's Guide ePub

eBook Measuring Computer Performance: A Practitioner's Guide ePub

by David J. Lilja

  • ISBN: 0521641055
  • Category: Programming
  • Subcategory: Computers
  • Author: David J. Lilja
  • Language: English
  • Publisher: Cambridge University Press (August 15, 2000)
  • Pages: 278
  • ePub book: 1860 kb
  • Fb2 book: 1572 kb
  • Other: lrf mobi azw lit
  • Rating: 4.7
  • Votes: 430

Description

Measuring Computer Performance sets out the fundamental techniques used in analyzing and understanding the performance of computer systems.

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. Find all the books, read about the author, and more. Are you an author? Learn about Author Central. David J. Lilja (Author). ISBN-13: 978-0521646703.

Throughout the book, the emphasis is on practical methods of measurement, simulation, and analytical modeling. Throughout the book, the emphasis is on practical methods of measurement, simulation, and analytical modeling. The author discusses performance metrics and provides detailed coverage of the strategies used in benchmark programs. He gives intuitive explanations of the key statistical tools needed to interpret measured performance data. The book closes with a chapter on the technique of queueing analysis.

David Lilja discusses performance metrics and provides detailed coverage of the strategies used in benchmark programs. 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. The author discusses performance metrics and provides detailed coverage of the strategies used in benchmark programmes.

Rigorously compare the performance of computer systems in the presence of measurement noise. Determine whether a change made to a system has a statistically significant impact on performance

Measuring Computer Performance book. Start by marking Measuring Computer Performance: A Practitioner's Guide as Want to Read

Measuring Computer Performance book. Start by marking Measuring Computer Performance: A Practitioner's Guide as Want to Read: Want to Read savin. ant to Read.

Request PDF On Jan 1, 2001, Jack Dongarra and others published Measuring Computer Performance: A Practitioner's . This section includes two items: Fifty-year anniversaries in Norwegian Computing History by David Walden, and Computer History Museum report by Dag Spicer.

This section includes two items: Fifty-year anniversaries in Norwegian Computing History by David Walden, and Computer History Museum report by Dag Spicer. David Leroy Heabditch.

oceedings{, title {Measuring Computer Performance A Practitioner's Guide}, author {David J. . Lilja}, year {2000} }. Lilja. 1. Introduction 2. Metrics of performance 3. Average performance and variability 4. Errors in experimental measurements 5. Comparing alternatives 6. Measurement tools and techniques 7. Benchmark programs 8. Linear regression models 9. Design of experiments 10. Simulation and random number generation 11.

Measuring Computer Performance. A Practitioner's Guide. IEEE Computer Architecture Letters, Vol. 1, Issue.

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.

Comments

Zicelik Zicelik
Do NOT ever buy from 321-Books. They are deceptive.
Tygrarad Tygrarad
I bought this book used from Goodwill Industries of South Florida. It arrived pretty fast (more than expected) and the book is actually very new! (there are just some barely noticeable scratches on it).
Manemanu Manemanu
In a nutshell: nicely written introductory text that covers the basics of performance analysis. It starts with an overview of performance analysis and associated techniques. The subsequent chapters lay the groundwork by giving key concepts and techniques, and then segue into the techniques themselves.
Content and Organization: 278 pages comprised of 11 chapters, a glossary and two appendices of probability distributions and selected statistical tables. Chapter topics are: (1) Introduction, (2) Metrics of Performance (what you should be measuring), (3) Average Performance and Variability (introduces statistical concepts and techniques related to computer performance analysis), (4) Errors in Experimental Measurements (good discussion of accuracy, precision and resolution, and the fundamentals of error quantification with which to validate your findings), (5) Comparing Alternatives, (6) Measurement Tools and Techniques, (7) Benchmark Programs (this chapter merits a book of its own), (8) Linear Regression Models, (9) Design of Experiments, (10) Simulation, and (11) Queuing Analysis.
This book requires some probability and statistics skills, but is a much gentler introduction to the subject than Raj Jain's classic, The Art of Computer Systems Performance Analysis. There are two things I especially like about this book: (1) it does not immediately launch into quantitative methods. Instead, it introduces them in manageable chunks that will not intimidate a reader whose math skills are rusty. (2) It includes design of experiments, which is a powerful tool that will also prove invaluable in capacity planning - the flip side of performance analysis.
If you've thumbed through other books on computer performance analysis and felt the learning curve was too steep or your math skills were not up-to-par, this book will give you the basics and begin you on a journey towards more advanced techniques. I highly recommend it as a first text on performance analysis and give it 5 stars for making this important discipline accessible to a wider audience.