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Description
  • This study introduces a novel fine-grained parallel implementation of a neural principal component analysis (neural PCA) variant and the maximum Likelihood Hebbian Learning (MLHL) network designed for modern many-core graphics processing units (GPUs). The parallel implementation as well as the computational experiments conducted in order to evaluate the speedup achieved by the GPU are presented and discussed. The evaluation was done on a well-known artificial data set, the 2D bars data set.
  • This study introduces a novel fine-grained parallel implementation of a neural principal component analysis (neural PCA) variant and the maximum Likelihood Hebbian Learning (MLHL) network designed for modern many-core graphics processing units (GPUs). The parallel implementation as well as the computational experiments conducted in order to evaluate the speedup achieved by the GPU are presented and discussed. The evaluation was done on a well-known artificial data set, the 2D bars data set. (en)
Title
  • Neural PCA and maximum likelihood hebbian learning on the GPU
  • Neural PCA and maximum likelihood hebbian learning on the GPU (en)
skos:prefLabel
  • Neural PCA and maximum likelihood hebbian learning on the GPU
  • Neural PCA and maximum likelihood hebbian learning on the GPU (en)
skos:notation
  • RIV/61989100:27740/12:86084952!RIV13-MSM-27740___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(EE.2.3.20.0073)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
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  • 153866
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/12:86084952
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • performance; CUDA; GPU; Exploratory Projection Pursuit; Maximum Likelihood Hebbian Learning; neural PCA (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [30446FF2E810]
http://linked.open...v/mistoKonaniAkce
  • Lausanne
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Computer Science. Volume 7553
http://linked.open...in/vavai/riv/obor
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Krömer, Pavel
  • Platoš, Jan
  • Snášel, Václav
  • Corchado, Emilio
  • Garcia-Hernandez, Laura
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-33266-1_17
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-33265-4
http://localhost/t...ganizacniJednotka
  • 27740
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