Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures

Research output: Research - peer-reviewArticle in proceedings

  • Kenneth Sejdenfaden Bøgh
    Kenneth Sejdenfaden Bøgh
  • Sean Chester
  • Darius Sidlauskas
    Darius SidlauskasÉcole Polytechnique Fédérale de Lausanne
  • Ira Assent
Original languageEnglish
Title of host publicationProceedings of the 2017 International Conference on Management of Data, (ACM SIGMOD)
Number of pages16
Place of publicationACM New York, NY, USA
PublisherAssociation for Computing Machinery
Publication year9 May 2017
Pages447-462
ISBN (print)978-1-4503-4197-4
DOIs
StatePublished - 9 May 2017
EventACM International Conference on Management of Data - Hilton Chicago, Chicago, United States
Duration: 14 May 201719 May 2017
http://sigmod2017.org/#

Conference

ConferenceACM International Conference on Management of Data
LocationHilton Chicago
LandUnited States
ByChicago
Periode14/05/201719/05/2017
Internetadresse

    Research areas

  • GPU, multicore, parallel algorithms, skyline, skycube, template methodology

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