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Statements

Subject Item
n2:RIV%2F68407700%3A21110%2F12%3A00193935%21RIV13-GA0-21110___
rdf:type
skos:Concept n9:Vysledek
rdfs:seeAlso
http://www.engmech.cz/2012/proceedings/
dcterms:description
Homogenization methods are becoming the most popular approach to modelling of heterogeneous materials. The main principle is to represent the heterogeneous microstructure with an equivalent homogeneous material. When dealing with the complex random microstructures, the unit cell representing exactly periodic morphology needs to be replaced by a statistically equivalent periodic unit cell (SEPUC) preserving the important materiál properties in the statistical manner. One of the statistical descriptors suitable for SEPUC definition is the lineal path function. It is a low-order descriptor based on a more complex fundamental function able to capture certain information about the phase connectedness. Its main disadvantage is the computational cost. In this contribution, we present the reformulation of the sequential C code for evaluation of the lineal path function into the parallel C code with Compute Unified Device Architecture (CUDA) extensions enabling the usage of computational potential of the NVIDIA graphics processing unit (GPU). Homogenization methods are becoming the most popular approach to modelling of heterogeneous materials. The main principle is to represent the heterogeneous microstructure with an equivalent homogeneous material. When dealing with the complex random microstructures, the unit cell representing exactly periodic morphology needs to be replaced by a statistically equivalent periodic unit cell (SEPUC) preserving the important materiál properties in the statistical manner. One of the statistical descriptors suitable for SEPUC definition is the lineal path function. It is a low-order descriptor based on a more complex fundamental function able to capture certain information about the phase connectedness. Its main disadvantage is the computational cost. In this contribution, we present the reformulation of the sequential C code for evaluation of the lineal path function into the parallel C code with Compute Unified Device Architecture (CUDA) extensions enabling the usage of computational potential of the NVIDIA graphics processing unit (GPU).
dcterms:title
Computationally efficient algorithms for evaluation of statistical descriptors Computationally efficient algorithms for evaluation of statistical descriptors
skos:prefLabel
Computationally efficient algorithms for evaluation of statistical descriptors Computationally efficient algorithms for evaluation of statistical descriptors
skos:notation
RIV/68407700:21110/12:00193935!RIV13-GA0-21110___
n9:predkladatel
n20:orjk%3A21110
n5:aktivita
n16:P
n5:aktivity
P(GAP105/12/1146)
n5:dodaniDat
n6:2013
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n8:7182333 n8:8165580 n8:5131391
n5:druhVysledku
n15:D
n5:duvernostUdaju
n21:S
n5:entitaPredkladatele
n22:predkladatel
n5:idSjednocenehoVysledku
128300
n5:idVysledku
RIV/68407700:21110/12:00193935
n5:jazykVysledku
n10:eng
n5:klicovaSlova
lineal path function; homogenization; statistically equivalent periodic unit cell; graphics processing unit.
n5:klicoveSlovo
n12:homogenization n12:statistically%20equivalent%20periodic%20unit%20cell n12:graphics%20processing%20unit. n12:lineal%20path%20function
n5:kontrolniKodProRIV
[4D81E95D837F]
n5:mistoKonaniAkce
Svratka
n5:mistoVydani
Prague
n5:nazevZdroje
Engineering Mechanics 2012
n5:obor
n7:JD
n5:pocetDomacichTvurcuVysledku
3
n5:pocetTvurcuVysledku
3
n5:projekt
n23:GAP105%2F12%2F1146
n5:rokUplatneniVysledku
n6:2012
n5:tvurceVysledku
Sýkora, Jan Kučerová, Anna Havelka, Jan
n5:typAkce
n13:WRD
n5:zahajeniAkce
2012-05-14+02:00
s:numberOfPages
5
n11:hasPublisher
Ústav teoretické a aplikované mechaniky AV ČR
n14:isbn
978-80-86246-40-6
n17:organizacniJednotka
21110