Title :
A data analysis method for software performance prediction
Author :
Bontempi, Gianluca ; Kruijtzer, Wido
Author_Institution :
IMEC, Leuven, Belgium
Abstract :
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
Keywords :
data analysis; embedded systems; software performance evaluation; MPEG variable length decoding; data analysis method; embedded applications; execution cycles; hardware architecture; parameterisation; performance modelling; software functionality; software performance prediction; standard computational code; system-level designers; Application software; Code standards; Computer architecture; Data analysis; Decoding; Embedded software; Hardware; Microprocessors; Software performance; Sorting;
Conference_Titel :
Design, Automation and Test in Europe Conference and Exhibition, 2002. Proceedings
Conference_Location :
Paris
Print_ISBN :
0-7695-1471-5
DOI :
10.1109/DATE.2002.998417
