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Real-time embedded systems powered by FPGA dynamic partial self-reconfiguration: a case study oriented to biometric recognition applications
dc.contributor.author | Fons Lluis, Francesc |
dc.contributor.author | Fons Lluis, Mariano |
dc.contributor.author | Canto Navarro, Enrique Fernando |
dc.contributor.author | López García, Mariano |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.date.accessioned | 2011-02-22T09:04:38Z |
dc.date.available | 2011-02-22T09:04:38Z |
dc.date.created | 2011-01-14 |
dc.date.issued | 2011-01-14 |
dc.identifier.citation | Fons, F. [et al.]. Real-time embedded systems powered by FPGA dynamic partial self-reconfiguration: a case study oriented to biometric recognition applications. "Journal of real-time image processing", 14 Gener 2011, núm. Special Issue, p. 1-23. |
dc.identifier.issn | 1861-8200 |
dc.identifier.uri | http://hdl.handle.net/2117/11461 |
dc.description.abstract | This work aims to pave the way for an efficient open system architecture applied to embedded electronic applications to manage the processing of computationally complex algorithms at real-time and low-cost. The target is to define a standard architecture able to enhance the performance-cost trade-off delivered by other alternatives nowadays in the market like general-purpose multi-core processors. Our approach, sustained by hardware/software (HW/SW) co-design and run-time reconfigurable computing, is synthesizable in SRAM-based programmable logic. As proof-of-concept, a run-time partially reconfigurable field-programmable gate array (FPGA) is addressed to carry out a specific application of high-demanding computational power such as an automatic fingerprint authentication system (AFAS). Biometric personal recognition is a good example of compute-intensive algorithm composed of a series of image processing tasks executed in a sequential order. In our pioneer conception, these tasks are partitioned and synthesized first in a series of coprocessors that are then instantiated and executed multiplexed in time on a partially reconfigurable region of the FPGA. The implementation benchmark of the AFAS either as a pure software approach on a PC platform under a dual-core processor (Intel Core 2 Duo T5600 at 1.83 GHz) or as a reconfigurable FPGA co-design (identical algorithm partitioned in HW/SW tasks operating at 50 or 100 MHz on the second smallest device of the Xilinx Virtex-4 LX family) highlights a speed-up of one order of magnitude in favor of the FPGA alternative. These results let point out biometric recognition as a sensible killer application for run-time reconfigurable computing, mainly in terms of efficiently balancing computational power, functional flexibility and cost. Such features, reached through partial reconfiguration, are easily portable today to a broad range of embedded applications with identical system architecture. |
dc.format.extent | 23 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Enginyeria electrònica::Microelectrònica::Sistemes digitals programables |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | Field programmable gate arrays |
dc.subject.lcsh | Fingerprints--Identification--Automation |
dc.subject.lcsh | Computer architecture |
dc.title | Real-time embedded systems powered by FPGA dynamic partial self-reconfiguration: a case study oriented to biometric recognition applications |
dc.type | Article |
dc.subject.lemac | Temps real (Informàtica) |
dc.subject.lemac | Ordinadors immersos, Sistemes d' -- Disseny i construcció |
dc.subject.lemac | Arquitectura d'ordinadors |
dc.contributor.group | Universitat Politècnica de Catalunya. SARTI - Centre de Desenvolupament Tecnològic de Sistemes d'Adquisició Remota i Tractament de la Informació |
dc.identifier.doi | 10.1007/s11554-010-0186-1 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.springerlink.com/content/1222401085803758/ |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 5090410 |
dc.description.version | Postprint (published version) |
local.citation.author | Fons, F.; Fons, M.; Cantó, E.; Lopez, M. |
local.citation.publicationName | Journal of real-time image processing |
local.citation.number | Special Issue |
local.citation.startingPage | 1 |
local.citation.endingPage | 23 |
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