Parallelization of Hierarchical Matrix Algorithms for Electromagnetic Scattering Problems-Reference-Cited by-同舟云学术

Parallelization of Hierarchical Matrix Algorithms for Electromagnetic Scattering Problems

Published:2019 Issue: Volume: Page:36-68
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Larsson Elisabeth^ORCID,Zafari Afshin,Righero Marco^ORCID,Francavilla M. Alessandro,Giordanengo Giorgio,Vipiana Francesca^ORCID,Vecchi Giuseppe,Kessler Christoph^ORCID,Ancourt Corinne^ORCID,Grelck Clemens^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-16272-6_2

Reference67 articles.

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2. Agullo, E., Bramas, B., Coulaud, O., Darve, E., Messner, M., Takahashi, T.: Task-based FMM for multicore architectures. SIAM J. Sci. Comput. 36(1), C66–C93 (2014). https://doi.org/10.1137/130915662

3. Anderson, E., et al.: LAPACK Users’ Guide, 3rd edn. Society for Industrial and Applied Mathematics, Philadelphia (1999)

4. Lecture Notes in Computer Science;P Atkinson,2017

5. Augonnet, C., Thibault, S., Namyst, R., Wacrenier, P.: StarPU: a unified platform for task scheduling on heterogeneous multicore architectures. Concurr. Comput.: Pract. Exper. 23(2), 187–198 (2011). https://doi.org/10.1002/cpe.1631

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