Partial Reconfigurable FIR Filtering System Using Distributed Arithmetic

Dynamic partial reconfiguration (DPR) allows us to adapt hardware resources to meet time-varying requirements in power, resources, or performance. In this paper, we present two new DPR systems that allow for efficient implementations of 1D FIR filters on modern FPGA devices. To minimize the required...

Full description

Saved in:
Bibliographic Details
Main Authors: Daniel Llamocca, Marios Pattichis, G. Alonzo Vera
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:International Journal of Reconfigurable Computing
Online Access:http://dx.doi.org/10.1155/2010/357978
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832553439565971456
author Daniel Llamocca
Marios Pattichis
G. Alonzo Vera
author_facet Daniel Llamocca
Marios Pattichis
G. Alonzo Vera
author_sort Daniel Llamocca
collection DOAJ
description Dynamic partial reconfiguration (DPR) allows us to adapt hardware resources to meet time-varying requirements in power, resources, or performance. In this paper, we present two new DPR systems that allow for efficient implementations of 1D FIR filters on modern FPGA devices. To minimize the required partial reconfiguration region (PRR), both implementations are based on distributed arithmetic. For a smaller required PRR, the first system only allows changes to the filter coefficient values while keeping the rest of the architecture fixed. The second DPR system allows full FIR-filter reconfiguration while requiring a larger PR region. We investigate the proposed system performance in terms of the dynamic reconfiguration rates. At low reconfiguration rates, the DPR systems can maintain much higher throughputs. We also present an example that demonstrates that the system can maintain a throughput of 10 Mega-samples per second while fully reconfiguring about seventy times per second.
format Article
id doaj-art-f99add32e35743209730c9e94565ee04
institution Kabale University
issn 1687-7195
1687-7209
language English
publishDate 2010-01-01
publisher Wiley
record_format Article
series International Journal of Reconfigurable Computing
spelling doaj-art-f99add32e35743209730c9e94565ee042025-02-03T05:54:02ZengWileyInternational Journal of Reconfigurable Computing1687-71951687-72092010-01-01201010.1155/2010/357978357978Partial Reconfigurable FIR Filtering System Using Distributed ArithmeticDaniel Llamocca0Marios Pattichis1G. Alonzo Vera2Electrical and Computer Engineering Department, The University of New Mexico, Albuquerque, NM 87131, USAElectrical and Computer Engineering Department, The University of New Mexico, Albuquerque, NM 87131, USAMicroelectronics Research and Development Corporation, Albuquerque, NM 87110, USADynamic partial reconfiguration (DPR) allows us to adapt hardware resources to meet time-varying requirements in power, resources, or performance. In this paper, we present two new DPR systems that allow for efficient implementations of 1D FIR filters on modern FPGA devices. To minimize the required partial reconfiguration region (PRR), both implementations are based on distributed arithmetic. For a smaller required PRR, the first system only allows changes to the filter coefficient values while keeping the rest of the architecture fixed. The second DPR system allows full FIR-filter reconfiguration while requiring a larger PR region. We investigate the proposed system performance in terms of the dynamic reconfiguration rates. At low reconfiguration rates, the DPR systems can maintain much higher throughputs. We also present an example that demonstrates that the system can maintain a throughput of 10 Mega-samples per second while fully reconfiguring about seventy times per second.http://dx.doi.org/10.1155/2010/357978
spellingShingle Daniel Llamocca
Marios Pattichis
G. Alonzo Vera
Partial Reconfigurable FIR Filtering System Using Distributed Arithmetic
International Journal of Reconfigurable Computing
title Partial Reconfigurable FIR Filtering System Using Distributed Arithmetic
title_full Partial Reconfigurable FIR Filtering System Using Distributed Arithmetic
title_fullStr Partial Reconfigurable FIR Filtering System Using Distributed Arithmetic
title_full_unstemmed Partial Reconfigurable FIR Filtering System Using Distributed Arithmetic
title_short Partial Reconfigurable FIR Filtering System Using Distributed Arithmetic
title_sort partial reconfigurable fir filtering system using distributed arithmetic
url http://dx.doi.org/10.1155/2010/357978
work_keys_str_mv AT danielllamocca partialreconfigurablefirfilteringsystemusingdistributedarithmetic
AT mariospattichis partialreconfigurablefirfilteringsystemusingdistributedarithmetic
AT galonzovera partialreconfigurablefirfilteringsystemusingdistributedarithmetic