Detail publikace
Implementation of bio-inspired adaptive wavelet transforms in FPGAs. Modelling, validation and profiling of the algorithm
Originální název
Implementation of bio-inspired adaptive wavelet transforms in FPGAs. Modelling, validation and profiling of the algorithm
Anglický název
Implementation of bio-inspired adaptive wavelet transforms in FPGAs. Modelling, validation and profiling of the algorithm
Jazyk
en
Originální abstrakt
Providing embedded systems with adaptation capabilities is an increasing importance objective in design community. This work deals with the implementation of adaptive compression schemes in FPGA devices by means of a bioinspired algorithm. A simplified version of an Evolution Strategy using fixed point arithmetic is proposed. Specifically, a simpler than the standard (hardware friendly) mutation operator is designed, modelled and validated using a high-level language. HW/SW partitioning issues are considered and code profiling accomplished to validate the proposal. Preliminary results of the proposed hardware architecture are also shown.
Anglický abstrakt
Providing embedded systems with adaptation capabilities is an increasing importance objective in design community. This work deals with the implementation of adaptive compression schemes in FPGA devices by means of a bioinspired algorithm. A simplified version of an Evolution Strategy using fixed point arithmetic is proposed. Specifically, a simpler than the standard (hardware friendly) mutation operator is designed, modelled and validated using a high-level language. HW/SW partitioning issues are considered and code profiling accomplished to validate the proposal. Preliminary results of the proposed hardware architecture are also shown.
BibTex
@inproceedings{BUT35053,
author="Ruben {Salvador} and Felix {Moreno} and Teresa {Riesgo} and Lukáš {Sekanina}",
title="Implementation of bio-inspired adaptive wavelet transforms in FPGAs. Modelling, validation and profiling of the algorithm",
annote="Providing embedded systems with adaptation capabilities is an increasing
importance objective in design community. This work deals with the implementation
of adaptive compression schemes in FPGA devices by means of a bioinspired
algorithm. A simplified version of an Evolution Strategy using fixed point
arithmetic is proposed. Specifically, a simpler than the standard (hardware
friendly) mutation operator is designed, modelled and validated using
a high-level language. HW/SW partitioning issues are considered and code
profiling accomplished to validate the proposal. Preliminary results of the
proposed hardware architecture are also shown.",
address="The Universidad de Las Palmas de Gran Canaria",
booktitle="Proceedings of the XXV Conference on Design of Circuits and Integrated Systems",
chapter="35053",
edition="NEUVEDEN",
howpublished="print",
institution="The Universidad de Las Palmas de Gran Canaria",
year="2010",
month="november",
pages="210--215",
publisher="The Universidad de Las Palmas de Gran Canaria",
type="conference paper"
}