Workload Characterization of Emerging Computer Applications

. Ed(s): John, Lizy Kurian; Maynard, Ann Marie Grizzaffi

ISBN 10: 0792373154 / ISBN 13: 9780792373155

Editore: Kluwer Academic Publishers, 2001

Riguardo questo articolo

Accurate characterization of applications leads to efficient design of high performing architectures. This book includes ten chapters on various aspects of characterization. It can also be used as a text in graduate-level courses on system design. Editor(s): John, Lizy Kurian; Maynard, Ann Marie Grizzaffi. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 231 pages, biography. BIC Classification: UMX; UYD. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 14. Weight in Grams: 1150. . 2001. Hardback. . . . . Books ship from the US and Ireland.

Codice articolo V9780792373155

Dati bibliografici

• Titolo: Workload Characterization of Emerging Computer Applications
• Editore: Kluwer Academic Publishers
• Data di pubblicazione: 2001
• Lingua: Inglese
• ISBN 10: 0792373154
• ISBN 13: 9780792373155
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

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.

Contenuti

Preface. 1. Towards an Optimal File Allocation Strategy for SPECweb99; T.W. Keller, et al. 2. Characterization of Value Locality in Java Programs; B. Rychlik, J.P. Shen. 3. Characterizing Operating System Activity in SPECjvm98 Benchmarks; T. Li, et al. 4. Adapting the SPEC 2000 Benchmark Suite for Simulation-Based Computer Architecture Research; A.J. Klein-Osowski, et al. 5. Using Locality Surfaces to Characterize the SPECint 2000 Benchmark Suite; E.S. Sorenson, J.K. Flanagan. 6. Using the BACH Trace Collection Mechanism to Characterize the SPEC 2000 Integer Benchmarks; N.C. Thornock, J.K. Flanagan. 7. Choosing Representative Slices of Program Execution for Microarchitecture Simulations: A Preliminary Application to the Data Stream; T. Lafage, A. Seznec. 8. Characterization of Memory Energy Behavior; H.S. Kim, et al. 9. On the Impact of Workload Burstiness on Disk Performance; M.E. Gómez, V. Santonja. 10. Understanding the Impact of X86/NT Computing on Microarchitecture; R. Bhargava, et al. Index.