About: A new approach for indexing powder diffraction data suitable for GPGPU execution     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Powder diffraction (based typically on X-ray usage) is a well-established method for a complete analysis and structure determination of crystalline materials. One of the key parts of the experimental data processing is the process of indexation - determination of lattice parameters. The lattice parameters are essential information required for phase identification as well as for eventual phase structure solution. Nowadays computer hardware with efficient implementation of indexation algorithms gives a chance to to solve several problematic situations not covered fully by existing methods. This paper deals with design of algorithm for indexing powder diffraction data suitable for massively parallel platforms such as GPUs.
  • Powder diffraction (based typically on X-ray usage) is a well-established method for a complete analysis and structure determination of crystalline materials. One of the key parts of the experimental data processing is the process of indexation - determination of lattice parameters. The lattice parameters are essential information required for phase identification as well as for eventual phase structure solution. Nowadays computer hardware with efficient implementation of indexation algorithms gives a chance to to solve several problematic situations not covered fully by existing methods. This paper deals with design of algorithm for indexing powder diffraction data suitable for massively parallel platforms such as GPUs. (en)
Title
  • A new approach for indexing powder diffraction data suitable for GPGPU execution
  • A new approach for indexing powder diffraction data suitable for GPGPU execution (en)
skos:prefLabel
  • A new approach for indexing powder diffraction data suitable for GPGPU execution
  • A new approach for indexing powder diffraction data suitable for GPGPU execution (en)
skos:notation
  • RIV/68407700:21240/13:00194605!RIV14-MSM-21240___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 58787
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21240/13:00194605
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • powder diffraction; indexing; McMaille; parallel simulating annealing; GPGPU (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4DFA13BF7602]
http://linked.open...v/mistoKonaniAkce
  • Ostrava
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Soft Computing Models in Industrial and Environmental Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Šimeček, Ivan
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000312974600042
http://linked.open.../riv/zahajeniAkce
issn
  • 2194-5357
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-32922-7_42
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-32921-0
http://localhost/t...ganizacniJednotka
  • 21240
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software