This HTML5 document contains 50 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n10http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n19http://localhost/temp/predkladatel/
n5http://purl.org/net/nknouf/ns/bibtex#
n21http://linked.opendata.cz/resource/domain/vavai/projekt/
n17http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n20http://linked.opendata.cz/resource/domain/vavai/subjekt/
n13http://linked.opendata.cz/ontology/domain/vavai/
n16http://linked.opendata.cz/resource/domain/vavai/zamer/
n14https://schema.org/
shttp://schema.org/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/
skoshttp://www.w3.org/2004/02/skos/core#
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n9http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216305%3A26230%2F11%3APU96201%21RIV12-MSM-26230___/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n18http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n8http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n23http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n22http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n15http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F11%3APU96201%21RIV12-MSM-26230___
rdf:type
skos:Concept n13:Vysledek
dcterms:description
This paper presents an analysis of the fault tolerance achieved by an autonomous, fully embedded evolvablehardware system, which uses a combination of partial dynamic reconfiguration and an evolutionary algorithm (EA). Itdemonstrates that the system may self-recover from both transient and cumulative permanent faults. This self-adaptive system, based on a 2D array of 16 (4x4) Processing Elements (PEs), is tested with an image filtering application. Results show that it may properly recover from faults in up to 3 PEs, that is, more than 18% cumulative permanent faults. Two fault models are used for testing purposes, at PE and CLB levels. Two self-healing strategies are also introduced, depending on whether fault diagnosis is available or not. They are based on scrubbing, fitness evaluation, dynamic partial reconfiguration and in-system evolutionary adaptation. Since most of these adaptability features are already available on the system for its normal operation, resource cost for self-heal This paper presents an analysis of the fault tolerance achieved by an autonomous, fully embedded evolvablehardware system, which uses a combination of partial dynamic reconfiguration and an evolutionary algorithm (EA). Itdemonstrates that the system may self-recover from both transient and cumulative permanent faults. This self-adaptive system, based on a 2D array of 16 (4x4) Processing Elements (PEs), is tested with an image filtering application. Results show that it may properly recover from faults in up to 3 PEs, that is, more than 18% cumulative permanent faults. Two fault models are used for testing purposes, at PE and CLB levels. Two self-healing strategies are also introduced, depending on whether fault diagnosis is available or not. They are based on scrubbing, fitness evaluation, dynamic partial reconfiguration and in-system evolutionary adaptation. Since most of these adaptability features are already available on the system for its normal operation, resource cost for self-heal
dcterms:title
Fault Tolerance Analysis and Self-Healing Strategy of Autonomous, Evolvable Hardware Systems Fault Tolerance Analysis and Self-Healing Strategy of Autonomous, Evolvable Hardware Systems
skos:prefLabel
Fault Tolerance Analysis and Self-Healing Strategy of Autonomous, Evolvable Hardware Systems Fault Tolerance Analysis and Self-Healing Strategy of Autonomous, Evolvable Hardware Systems
skos:notation
RIV/00216305:26230/11:PU96201!RIV12-MSM-26230___
n13:predkladatel
n20:orjk%3A26230
n6:aktivita
n8:Z n8:P
n6:aktivity
P(GAP103/10/1517), Z(MSM0021630528)
n6:dodaniDat
n15:2012
n6:domaciTvurceVysledku
n17:7173873
n6:druhVysledku
n22:D
n6:duvernostUdaju
n12:S
n6:entitaPredkladatele
n9:predkladatel
n6:idSjednocenehoVysledku
199427
n6:idVysledku
RIV/00216305:26230/11:PU96201
n6:jazykVysledku
n18:eng
n6:klicovaSlova
Evolvable Hardware, Fault Tolerance, Self-Healing, Autonomous Systems, FPGA, Partial Dynamic Reconfiguration
n6:klicoveSlovo
n7:Autonomous%20Systems n7:Partial%20Dynamic%20Reconfiguration n7:Self-Healing n7:FPGA n7:Fault%20Tolerance n7:Evolvable%20Hardware
n6:kontrolniKodProRIV
[3C2A6359E581]
n6:mistoKonaniAkce
Cancun
n6:mistoVydani
Los Alamitos
n6:nazevZdroje
Proc. of the 2011 International Conference on ReConFigurable Computing and FPGAs
n6:obor
n23:IN
n6:pocetDomacichTvurcuVysledku
1
n6:pocetTvurcuVysledku
6
n6:projekt
n21:GAP103%2F10%2F1517
n6:rokUplatneniVysledku
n15:2011
n6:tvurceVysledku
Mora, Javier Sekanina, Lukáš De la Torre, Eduardo Riesgo, Teresa Otero, Andres Salvador, Ruben
n6:typAkce
n10:WRD
n6:zahajeniAkce
2011-12-08+01:00
n6:zamer
n16:MSM0021630528
s:numberOfPages
6
n5:hasPublisher
IEEE Computer Society
n14:isbn
978-0-7695-4551-6
n19:organizacniJednotka
26230