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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Nov 2018
Next issue: Feb 2019
Avg review time: 81 days


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

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


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Wavelet-Based Adaptive Anisotropic Diffusion Filter, TANYERI, U., DEMIRCI, R.
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A Current-Forced Line-Commutated Inverter for Single-Phase Grid-Connected Photovoltaic Generation Systems, UNLU, M., CAMUR, S., BESER, E., ARIFOGLU, B.
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Speeding Up VM Image Distribution for Cloud Data Centers, LEE, C., LEE, H., KIM, E.
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Output Choice of a Chaotic Jerk Circuit Used as Transmitter in Data Secure Communications, DATCU, O., STANCIU, M., TAULEIGNE, R., BURILEANU, C., BARBOT, J.-P.
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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  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
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Download PDF pdficon (361 KB) | Citation | Downloads: 837 | Views: 3,602

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

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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 352]

[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

[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:

[6] Intel vtune performance analyzer:

[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 52]

[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 34]

[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]

[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

[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

[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

[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

[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 13]

[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 7]

[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 89]

[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

References Weight

Web of Science® Citations for all references: 550 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 25 ACR
SCOPUS® Average Citations per reference: 0

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 2019-01-15 02:09 in 89 seconds.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

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