Performance engineering for a tall & skinny matrix multiplication kernels on GPUs

Ernst D, Hager G, Thies J, Wellein G (2020)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2020

Publisher: Springer International Publishing

City/Town: Cham

Pages Range: 505-515

Conference Proceedings Title: Lecture Notes in Computer Science book series (LNCS, volume 12043)

Event location: Bialystok, Poland

ISBN: 9783030432287

DOI: 10.1007/978-3-030-43229-4_43

Authors with CRIS profile

Dominik Ernst Professur für Höchstleistungsrechnen Georg Hager Regionales Rechenzentrum Erlangen (RRZE) Gerhard Wellein Professur für Höchstleistungsrechnen

Related research project(s)

Equipping Sparse Solvers for Exascale II (ESSEX-II) (SPPEXA) SPP 1648: Software for Exascale Computing Jan. 1, 2016 - Dec. 31, 2018

Involved external institutions

Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) / German Aerospace Center DE Germany (DE)

How to cite

APA:

Ernst, D., Hager, G., Thies, J., & Wellein, G. (2020). Performance engineering for a tall & skinny matrix multiplication kernels on GPUs. In Lecture Notes in Computer Science book series (LNCS, volume 12043) (pp. 505-515). Bialystok, Poland: Cham: Springer International Publishing.

MLA:

Ernst, Dominik, et al. "Performance engineering for a tall & skinny matrix multiplication kernels on GPUs." Proceedings of the 13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019, Bialystok, Poland Cham: Springer International Publishing, 2020. 505-515.

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