Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.825
JCR 5-Year IF: 0.752
SCOPUS CiteScore: 2.5
Issues per year: 4
Current issue: Aug 2022
Next issue: Nov 2022
Avg review time: 76 days
Avg accept to publ: 48 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

1,972,670 unique visits
787,499 downloads
Since November 1, 2009



Robots online now
Googlebot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 22 (2022)
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
 Volume 20 (2020)
 
     »   Issue 4 / 2020
 
     »   Issue 3 / 2020
 
     »   Issue 2 / 2020
 
     »   Issue 1 / 2020
 
 
 Volume 19 (2019)
 
     »   Issue 4 / 2019
 
     »   Issue 3 / 2019
 
     »   Issue 2 / 2019
 
     »   Issue 1 / 2019
 
 
  View all issues  








LATEST NEWS

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

2021-Jun-06
SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

2021-Apr-15
Release of the v3 version of AECE Journal website. We moved to a new server and implemented the latest cryptographic protocols to assure better compatibility with the most recent browsers. Our website accepts now only TLS 1.2 and TLS 1.3 secure connections.

Read More »


    
 

  3/2009 - 18

Workload Characterization an Essential Step in Computer Systems Performance Analysis - Methodology and Tools

CHEVERESAN, R.T. See more information about CHEVERESAN, R.T. on SCOPUS See more information about CHEVERESAN, R.T. on IEEExplore See more information about CHEVERESAN, R.T. on Web of Science, HOLBAN., S. See more information about HOLBAN., S. on SCOPUS See more information about HOLBAN., S. on SCOPUS See more information about HOLBAN., S. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (361 KB) | Citation | Downloads: 1,075 | Views: 4,569

Author keywords
performance analysis, workload characterization, instruction traces, instruction decomposition, data locality

References keywords
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

Abstract
Quick view
Full text preview
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

[1] 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 551] [SCOPUS Times Cited 738]


[2] 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
[CrossRef] [SCOPUS Times Cited 14]


[3] 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

[4] 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

[5] Sun studio performance analyzer: developers.sun.com/prodtech/cc/analyzer/index.html

[6] Intel vtune performance analyzer: www.intel.com/cd/software/products/asmo-na/eng/vtune/index.htm

[7] M. Martonosi, A. Gupta, and T. Anderson, "Memspy: Analyzing memory system bottlenecks in programs", Measurement and Modeling of Computer Systems, pages 1-12, 1992

[8] 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 57] [SCOPUS Times Cited 121]


[9] 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 54] [SCOPUS Times Cited 55]


[10] J. Roberts and C. Zilles, "Tracevis: An execution trace visualization tool", Workshop on Modeling, Benchmarking and Simulation, 2005

[11] 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 11]


[12] J. Mauro and R. McDougall, "Solaris Internals - Core Kernel Architecture", Sun Microsystems Press, 2005

[13] J. Hennessy and D. Patterson, "Computer Architecture: A Quantitative Approach", Morgan Kaufmann Publishers, 2007

[14] 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 2]


[15] 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 12]


[16] 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 26]


[17] 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
[CrossRef] [SCOPUS Times Cited 31]


[18] 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

[19] 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 15]


[20] 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 9] [SCOPUS Times Cited 29]


[21] 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 99] [SCOPUS Times Cited 164]


[22] 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 30]


References Weight

Web of Science® Citations for all references: 788 TCR
SCOPUS® Citations for all references: 1,233 TCR

Web of Science® Average Citations per reference: 36 ACR
SCOPUS® Average Citations per reference: 56 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 2022-09-25 08:44 in 83 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.

Copyright ©2001-2022
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.




Website loading speed and performance optimization powered by: