Exploiting Data Sparsity for Large-Scale Matrix Computations-Reference-Cited by-同舟云学术

Exploiting Data Sparsity for Large-Scale Matrix Computations

Published:2018 Issue: Volume: Page:721-734
ISSN:0302-9743
Container-title:Euro-Par 2018: Parallel Processing
language:
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Author:

Akbudak Kadir^ORCID,Ltaief Hatem^ORCID,Mikhalev Aleksandr^ORCID,Charara Ali^ORCID,Esposito Aniello,Keyes David^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-96983-1_51

Reference31 articles.

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3. Akbudak, K., Ltaief, H., Mikhalev, A., Charara, A., Esposito, A., Keyes, D.: HiCMA (Hierarchical Computations on Manycore Architectures) library. Presented in Euro-Par 2018 paper. Figshare. Code (2018). https://doi.org/10.6084/m9.figshare.6388202

4. Lecture Notes in Computer Science;K Akbudak,2017

5. Ambikasaran, S., Darve, E.: An $$\cal{O}({N} \log {N})$$ fast direct solver for partial HSS matrices. J. Sci. Comput. 57(3), 477–501 (2013)

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