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Batched Triangular Dense Linear Algebra Kernels for Very Small Matrix Sizes on GPUs

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Publication:5237427
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DOI10.1145/3267101zbMath1471.65028OpenAlexW2601355684WikidataQ113310057 ScholiaQ113310057MaRDI QIDQ5237427

Ali Charara, Hatem Ltaief, David E. Keyes

Publication date: 18 October 2019

Published in: ACM Transactions on Mathematical Software (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10754/622975


zbMATH Keywords

hardware acceleratorsrecursive formulationdense linear algebraKBLASbatched BLAS kernels


Mathematics Subject Classification ID

Packaged methods for numerical algorithms (65Y15) Numerical linear algebra (65F99) Numerical algorithms for specific classes of architectures (65Y10)


Related Items (2)

Algorithmic patterns for \(\mathcal {H}\)-matrices on many-core processors ⋮ GPU-based matrix-free finite element solver exploiting symmetry of elemental matrices




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