FFT BENCHMARKING FOR DIGITAL SIGNAL PROCESSING TECHNOLOGIES

F. Stefani, A. Moschitta, D. Macii, D. Petri

Abstract

An appropriate choice of the computing devices employed in digital signal processing applications requires to characterize and to compare various technologies, so that the best component in terms of cost and performance can be used in a given system design. In this paper, a benchmark strategy is presented to measure the performances of various types of digital signal processing devices. Although different metrics can be used as performance indexes, Fast Fourier Transform (FFT) computation time and Real-Time Bandwidth (RTBW) have proved to be excellent and complete performance parameters. Moreover, a new index, measuring the architectural efficiency in computing FFT, is introduced and explained. Both parameters can be used to compare several digital signal processing technologies, thus guiding designers in optimal component selection.

Keywords

Fast Fourier Transform (FFT), digital signal processing, kernel benchmark

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PWC-2003-TC4-034.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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