Batched one-sided factorizations of tiny matrices using GPUs: Challenges and countermeasures

Author:

Abdelfattah Ahmad,Haidar Azzam,Tomov Stanimire,Dongarra Jack

Funder

NSF

NVIDIA

Exascale Computing Project

Office of Science

National Nuclear Security Administration

Publisher

Elsevier BV

Subject

Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference32 articles.

1. Factorization and inversion of a million matrices using GPUs: challenges and countermeasures;Abdelfattah;Procedia Comput. Sci.,2017

2. LAPACK – Linear Algebra PACKage, “http://www.netlib.org/lapack/”.

3. ScaLAPACK Users’ Guide;Blackford,1997

4. PLASMA. Parallel Linear Algebra Software for Multicore Architectures, Available at: https://bitbucket.org/icl/plasma (October 2017).

5. MAGMA. Matrix Algebra on GPU and Multicore Architectures, available at http://icl.cs.utk.edu/magma/ (October 2017).

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