A data analysis method for software performance prediction

Author

Bontempi, Gianluca ; Kruijtzer, Wido

Author_Institution

IMEC, Leuven, Belgium

fYear

2002

fDate

2002

Firstpage

971

Lastpage

976

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;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Paris

ISSN

1530-1591

Print_ISBN

0-7695-1471-5

Type

conf

DOI

10.1109/DATE.2002.998417

Filename

998417