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A data analysis method for software performance prediction

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2 Author(s)
Bontempi, G. ; IMEC, Leuven, Belgium ; Kruijtzer, W.

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

Published in:

Design, Automation and Test in Europe Conference and Exhibition, 2002. Proceedings

Date of Conference:

2002