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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F11%3A00364084%21RIV12-AV0-67985556
rdf:type
skos:Concept n15:Vysledek
dcterms:description
The resource management (RM) of heterogeneous hardware cores within the large-scale embedded systems have been one of the key implementation and research subjects in last years. In future systems, consisting of growing number of heterogeneous hardware cores, the RM have to be implemented to control the energy drain, exploit maximally the performance potential, and also to improve robustness of the system by bypassing failing components. We present the resource management providing an API for parallel execution of operations on a heterogeneous set of resources. The RM controls the tasks execution and monitors the performance. The information collected by the RM is used to optimize the execution. In this paper, we propose and present the SW implementation of the RM for the MicroBlaze soft-core processor running the Linux OS and accelerated by the heterogeneous array of hardware accelerators. The resource management (RM) of heterogeneous hardware cores within the large-scale embedded systems have been one of the key implementation and research subjects in last years. In future systems, consisting of growing number of heterogeneous hardware cores, the RM have to be implemented to control the energy drain, exploit maximally the performance potential, and also to improve robustness of the system by bypassing failing components. We present the resource management providing an API for parallel execution of operations on a heterogeneous set of resources. The RM controls the tasks execution and monitors the performance. The information collected by the RM is used to optimize the execution. In this paper, we propose and present the SW implementation of the RM for the MicroBlaze soft-core processor running the Linux OS and accelerated by the heterogeneous array of hardware accelerators.
dcterms:title
Resource Management for the Heterogeneous Arrays of Hardware Accelerators Resource Management for the Heterogeneous Arrays of Hardware Accelerators
skos:prefLabel
Resource Management for the Heterogeneous Arrays of Hardware Accelerators Resource Management for the Heterogeneous Arrays of Hardware Accelerators
skos:notation
RIV/67985556:_____/11:00364084!RIV12-AV0-67985556
n15:predkladatel
n16:ico%3A67985556
n3:aktivita
n14:Z n14:P
n3:aktivity
P(7H09005), Z(AV0Z10750506)
n3:dodaniDat
n6:2012
n3:domaciTvurceVysledku
n4:2751100 n4:8143404
n3:druhVysledku
n22:D
n3:duvernostUdaju
n13:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
226761
n3:idVysledku
RIV/67985556:_____/11:00364084
n3:jazykVysledku
n20:eng
n3:klicovaSlova
resource management; FPGA; embedded systems; hardware acceleration; power management; scalability
n3:klicoveSlovo
n11:resource%20management n11:hardware%20acceleration n11:FPGA n11:power%20management n11:scalability n11:embedded%20systems
n3:kontrolniKodProRIV
[4630F92C2E52]
n3:mistoKonaniAkce
Chania
n3:mistoVydani
Chania
n3:nazevZdroje
Proceedings of 21st International Conference on Field Programmable Logic and Applications
n3:obor
n21:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n18:7H09005
n3:rokUplatneniVysledku
n6:2011
n3:tvurceVysledku
Pohl, Zdeněk Tichý, Milan
n3:typAkce
n8:WRD
n3:zahajeniAkce
2011-09-05+02:00
n3:zamer
n10:AV0Z10750506
s:numberOfPages
4
n9:hasPublisher
IEEE
n19:isbn
978-0-7695-4529-5