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

: Mueller-Roemer, Johannes; Stork, André; Fellner, Dieter W.


Schulz, Hans-Jörg (Ed.) ; European Association for Computer Graphics -EUROGRAPHICS-:
24th International Symposium on Vision, Modeling, and Visualization, VMV 2019 : Rostock, Germany, Sep 30 - Oct 2, 2019
Aire-la-Ville: Eurographics Association, 2019
ISBN: 978-3-03868-098-7
International Symposium on Vision, Modeling, and Visualization (VMV) <24, 2019, Rostock>
European Commission EC
H2020; 768892; CloudiFacturing
Cloudification of Production Engineering for Predictive Digital Manufacturing
Fraunhofer IGD ()
Lead Topic: Digitized Work; Research Line: (Interactive) simulation (SIM); general purpose computation on graphics processing unit (GPGPU); GPU computing; linear systems; code generation

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.