|3/2009 - 18|
Workload Characterization an Essential Step in Computer Systems Performance Analysis - Methodology and ToolsCHEVERESAN, R.T. , HOLBAN., S.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (361 KB) | Citation | Downloads: 831 | Views: 3,518|
performance analysis, workload characterization, instruction traces, instruction decomposition, data locality
performance(9), modeling(5), memory(5), applications(5), systems(4), supercomputing(4), parallel(4), architecture(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2009-10-26
Volume 9, Issue 3, Year 2009, On page(s): 100 - 106
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.03018
Web of Science Accession Number: 000271872000018
SCOPUS ID: 77954752048
Computer system performance is a very complex process in which the hardware and software manufacturers invest important human and financial resources. Workload characterization represents an essential component of performance analysis. This paper presents a trace based methodology for software applications evaluation. It introduces a new analysis concept designed to significantly ease this process and it presents a set of experimental data collected using the new analysis structure on a representative set of scientific and commercial applications. Several important conclusions are drawn regarding workload characteristics, classifications and runtime behavior. This type of data is used by the computer architects in their efforts to maximize the performance of the hardware platforms these applications are going to execute on.
|References|||||Cited By «-- Click to see who has cited this paper|
| D. Bailey, J. Barton, T. Lasinski, and H. Simon, "The NAS parallel benchmarks", International Journal of Supercomputing Applications, 27(2):63-73, 1991 |
[CrossRef] [Web of Science Times Cited 344] [SCOPUS Times Cited 534]
 I. Sharapov, R. Kroeger, G. Delamarter, R. Cheveresan, and M. Ramsay. "A case study in top-down performance estimation for a large-scale parallel application", ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, March 2006
 R. Brown and I. Sharapov, "Parallelization of a molecular modeling application: Programmability comparison between OpenMP and MPI", Workshop on Productivity and Performance in High-End Computing, February 2006
 J. Dean, J. Hicks, C. Waldspruger, W. Weihl, and G. Chrysos, "Profileme: Hardware support for instruction-level profiling on out-of-order processors", Proceedings of Annual International Symposium on Microarchitecture, 1997
 Sun studio performance analyzer: developers.sun.com/prodtech/cc/analyzer/index.html
 Intel vtune performance analyzer: www.intel.com/cd/software/products/asmo-na/eng/vtune/index.htm
 M. Martonosi, A. Gupta, and T. Anderson, "Memspy: Analyzing memory system bottlenecks in programs", Measurement and Modeling of Computer Systems, pages 1-12, 1992
 A. Lebeck and D. Wood, "Cache profiling and the spec benchmarks: A case study", IEEE Computer, 27(10):15-26, October 1994
[CrossRef] [Web of Science Times Cited 51] [SCOPUS Times Cited 107]
 S. Graham, P. Kessler, and M. McKusick, "gprof: a call graph execution profile", SIGPLAN: Symposium on Compiler Construction, 1982
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 41]
 J. Roberts and C. Zilles, "Tracevis: An execution trace visualization tool", Workshop on Modeling, Benchmarking and Simulation, 2005
 E. Vlaovic and S. Davidson, "Taxi: Trace analysis for x86 interpretation", IEEE International Conference on Computer Design, 2002
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 10]
 J. Mauro and R. McDougall, "Solaris Internals - Core Kernel Architecture", Sun Microsystems Press, 2005
 J. Hennessy and D. Patterson, "Computer Architecture: A Quantitative Approach", Morgan Kaufmann Publishers, 2007
 J. Weinberg, M. McCracken, A. Snavely, and E. Strohmair, "Quantifying locality in the memory access patterns of HPC applications", Supercomputing, 2005
[CrossRef] [SCOPUS Times Cited 40]
 K. Rupnow, A. Rodrigues, K. Underwood, and K. Compton, "Scientific applications vs. spec-fp: A comparison of program behavior", ICS'06: Proceedings of the 20th ACM International Conference on Supercomputing, Cairns, Australia, 2006
[CrossRef] [SCOPUS Times Cited 11]
 F. Darema-Rogers, G. Pfister, and K. So, "Memory access patterns of parallel scientific programs", ACM SIGMETRICS Conference on Measurement and Modeling of Computer Systems, pages 46-58. ACM Press, 1987
[CrossRef] [SCOPUS Times Cited 22]
 L. Carrington, A. Snavely, X. Gao, and N. Wolter, "A Performance prediction framework for scientic applications", Lecture Notes in Computer Science, 2659, pages 926-935. Springer, January 2003
 R. Bunt and C. Williamson, "Temporal and spatial locality: A time and place for everything", International Symposium in Honour of Professor Guenter Haring's 60th Birthday, 2003
 P. Trancoso, J.-L. Larriba-Pey, Z. Zhang, J. Torrellas, "The memory performance of DSS commercial workloads in shared-memory multiprocessors", Proc. of the 3rd IEEE Symp.on High-Performance Computer Architecture (HPCA-3), 1997
[CrossRef] [Web of Science Times Cited 13]
 E. Strohmaier and H. Shan, "Architecture independent performance characterization and benchmarking for scientific applications", International Symposium on Modeling, Analysis and Simulation of Computer Telecommunications Systems, 2004
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 25]
 J. Anderson, L. Berc, J. Dean, S. Ghemawat, M. Henzinger, S. Leung, R. Sites, M. Vandevoorde, C. Waldspruger, and W. Weihl, "Continuous profiling: Where have all the cycles gone?", Proceedings of the 16th ACM Symposium of Operating Systems Principles, October 1997
[CrossRef] [Web of Science Times Cited 88] [SCOPUS Times Cited 139]
 R. Cheveresan, M. Ramsay, C. Feucht, I. Sharapov, "Characteristics of Workloads Used in High Performance and Technical Computing", 21st ACM International Conference on Supercomputing (ICS '07), Seattle, WA, June 2007
[CrossRef] [SCOPUS Times Cited 24]
Web of Science® Citations for all references: 537 TCR
SCOPUS® Citations for all references: 953 TCR
Web of Science® Average Citations per reference: 24 ACR
SCOPUS® Average Citations per reference: 43 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2018-09-24 15:44 in 92 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.