Computer and microprocessor architectures are advancing at an astounding pace. However, increasing demands on performance coupled with a wide variety of specialized operating environments act to slow this pace by complicating the performance evaluation process. Carefully balancing efficiency and accuracy is key to avoid slowdowns, and such a balance can be achieved with an in-depth understanding of the available evaluation methodologies. Performance Evaluation and Benchmarking outlines a variety of evaluation methods and benchmark suites, considering their strengths, weaknesses, and when each is appropriate to use.
Following a general overview of important performance analysis techniques, the book surveys contemporary benchmark suites for specific areas, such as Java, embedded systems, CPUs, and Web servers. Subsequent chapters explain how to choose appropriate averages for reporting metrics and provide a detailed treatment of statistical methods, including a summary of statistics, how to apply statistical sampling for simulation, how to apply SimPoint, and a comprehensive overview of statistical simulation. The discussion then turns to benchmark subsetting methodologies and the fundamentals of analytical modeling, including queuing models and Petri nets. Three chapters devoted to hardware performance counters conclude the book.
Supplying abundant illustrations, examples, and case studies, Performance Evaluation and Benchmarking offers a firm foundation in evaluation methods along with up-to-date techniques that are necessary to develop next-generation architectures.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Academic and Professional Practice & Development
Maße
Höhe: 234 mm
Breite: 156 mm
Dicke: 16 mm
Gewicht
ISBN-13
978-0-367-39216-1 (9780367392161)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Lizy Kurian John, Lieven Eeckhout
Herausgeber*in
The University of Texas at Austin, USA
Introduction and Overview. Performance Modeling and Measurement Techniques. Benchmarks. Aggregating Performance Metrics Over a Benchmark Suite. Statistical Techniques for Computer Performance Analysis. Statistical Sampling for Processor and Cache Simulation. SimPoint: Picking Representative Samples to Guide Simulation. Statistical Simulation. Benchmark Selection. Introduction to Analytical Models. Performance Monitoring Hardware and the Pentium 4 Processor. Performance Monitoring on the POWER5 (TM) Microprocessor. Performance Monitoring in the itanium (R) Processor Family. Index.
