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Workload Characterization of Emerging Computer Applications Softcover Repri Edition
Contributor(s): Kurian John, Lizy (Editor), Maynard, Ann Marie Grizzaffi (Editor)
ISBN: 1461356415     ISBN-13: 9781461356417
Publisher: Springer
OUR PRICE:   $208.99  
Product Type: Paperback - Other Formats
Published: November 2012
Qty:
Additional Information
BISAC Categories:
- Computers | Systems Architecture - General
- Computers | Computer Science
- Computers | Programming Languages - General
Dewey: 004
Series: The Springer International Engineering and Computer Science
Physical Information: 0.51" H x 6.14" W x 9.21" (0.76 lbs) 231 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
The formal study of program behavior has become an essential ingredient in guiding the design of new computer architectures. Accurate characterization of applications leads to efficient design of high performing architectures. Quantitative and analytical characterization of workloads is important to understand and exploit the interesting features of workloads. This book includes ten chapters on various aspects of workload characterizati on. File caching characteristics of the industry-standard web-serving benchmark SPECweb99 are presented by Keller et al. in Chapter 1, while value locality of SPECJVM98 benchmarks are characterized by Rychlik et al. in Chapter 2. SPECJVM98 benchmarks are visited again in Chapter 3, where Tao et al. study the operating system activity in Java programs. In Chapter 4, KleinOsowski et al. describe how the SPEC2000 CPU benchmark suite may be adapted for computer architecture research and present the small, representative input data sets they created to reduce simulation time without compromising on accuracy. Their research has been recognized by the Standard Performance Evaluation Corporation (SPEC) and is listed on the official SPEC website, http: //www. spec. org/osg/cpu2000/research/umnl. The main contribution of Chapter 5 is the proposal of a new measure called locality surface to characterize locality of reference in programs. Sorenson et al. describe how a three-dimensional surface can be used to represent both of programs. In Chapter 6, Thornock et al