SLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library

The SLATE (Software for Linear Algebra Targeting Exascale) library is being developed to provide fundamental dense linear algebra capabilities for current and upcoming distributed high-performance systems, both accelerated CPU-GPU based and CPU based. SLATE will provide coverage of existing ScaLAPAC...

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Vydané v:	SC19: International Conference for High Performance Computing, Networking, Storage and Analysis s. 1 - 18
Hlavní autori:	Gates, Mark, Kurzak, Jakub, Charara, Ali, YarKhan, Asim, Dongarra, Jack
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 17.11.2019
Predmet:	C++ languages dense linear algebra distributed computing Eigenvalues and eigenfunctions GPU computing Libraries Linear systems Parallel processing Performance evaluation Processor scheduling Scheduling Software Vectors
ISSN:	2167-4337
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