• English
  • Deutsch
  • Log In
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Joint Schedule and Layout Autotuning for Sparse Matrices with Compound Entries on GPUs
 
  • Details
  • Full
Options
2019
Conference Paper
Titel

Joint Schedule and Layout Autotuning for Sparse Matrices with Compound Entries on GPUs

Abstract
Large sparse matrices with compound entries, i.e., complex and quaternionic matrices as well as matrices with dense blocks, are a core component of many algorithms in geometry processing, physically based animation, and other areas of computer graphics. We generalize several matrix layouts and apply joint schedule and layout autotuning to improve the performance of the sparse matrix-vector product on massively parallel graphics processing units. Compared to schedule tuning without layout tuning, we achieve speedups of up to 5:5x. In comparison to cuSPARSE, we achieve speedups of up to 4:7x.
Author(s)
Mueller-Roemer, Johannes
Fraunhofer-Institut fĂ¼r Graphische Datenverarbeitung IGD
Stork, André
Fraunhofer-Institut fĂ¼r Graphische Datenverarbeitung IGD
Fellner, Dieter W.
Fraunhofer-Institut fĂ¼r Graphische Datenverarbeitung IGD
Hauptwerk
24th International Symposium on Vision, Modeling, and Visualization, VMV 2019
Project(s)
CloudiFacturing
Funder
European Commission EC
Konferenz
International Symposium on Vision, Modeling, and Visualization (VMV) 2019
Thumbnail Image
DOI
10.2312/vmv.20191324
Language
English
google-scholar
Fraunhofer-Institut fĂ¼r Graphische Datenverarbeitung IGD
Tags
  • Lead Topic: Digitized...

  • Research Line: (Inter...

  • general purpose compu...

  • GPU computing

  • linear systems

  • code generation

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022