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Reproducibility artifact for paper: Efficient batched band solvers on GPUs

Name: Reproducibility artifact for paper: Efficient batched band solvers on GPUs
Keywords: band solvers, batched solvers, direct factorizations, gpu computing

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 26 Mar 2024Publisher:Zenodo

Authors: Nayak, Pratik; Aggarwal, Isha; Anzt, Hartwig;

doi: 10.5281/zenodo.10871245 , 10.5281/zenodo.10871244 , 10.5281/zenodo.10871255

Reproducibility artifact for paper: Efficient batched band solvers on GPUs

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Abstract

This repository is a companion to the paper on "Efficient batched band solvers on GPUs". The authors of this functionality are listed above, but the authors of the Ginkgo software are available on the ginkgo github page: https://github.com/ginkgo-project/ginkgo To reproduce results from the paper, the reader can use compile and use the runner from the `examples/batched-band-solver` and `examples/batched-tridiagonal-solver`. Please send any questions and issues regarding this repository to nayak .at. kit.edu

Related Organizations

Karlsruhe Institute of Technology
Germany
Technical University of Munich
Germany

Keywords

band solvers, batched solvers, direct factorizations, gpu computing

Impact byBIP!

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