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A Data Analysis Method for Software Performance Prediction
Paris, France March 04-March 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DATE.2002.9984172002 Design, Automation and Test in E ...
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G. Bontempi, W. Kruijtzer, "A Data Analysis Method for Software Performance Prediction," Design, Automation and Test in Europe Conference and Exhibition, pp. 0971, 2002 Design, Automation and Test in Europe Conference and Exhibition (DATE'02), 2002.
 
 
BibTex
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@article{ 10.1109/DATE.2002.998417,
author = {G. Bontempi and W. Kruijtzer},
title = {A Data Analysis Method for Software Performance Prediction},
journal ={Design, Automation and Test in Europe Conference and Exhibition},
volume = {0},
year = {2002},
isbn = {0-7695-1471-5},
pages = {0971},
doi = {http://doi.ieeecomputersociety.org/10.1109/DATE.2002.998417},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Design, Automation and Test in Europe Conference and Exhibition
TI - A Data Analysis Method for Software Performance Prediction
SN - 0-7695-1471-5
SP
EP
A1 - G. Bontempi,
A1 - W. Kruijtzer,
PY - 2002
VL - 0
JA - Design, Automation and Test in Europe Conference and Exhibition
ER -
 
This paper explores the role of data analysis methods to support system-level designers in characterising the performance of embedded applications. In particular, we address the performance modelling of software applications running on an embedded microprocessor. We propose a data analysis method, which, on the basis of a parameterisation of the software functionality and the hardware architecture, is able to predict the number of execution cycles on an embedded processor. Experiments with standard computational code (sorting, mathematical computation) and with MPEG variable length decoding are presented to support this claim.
Citation:
G. Bontempi, W. Kruijtzer, "A Data Analysis Method for Software Performance Prediction," date, pp.0971, 2002 Design, Automation and Test in Europe Conference and Exhibition (DATE'02), 2002
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