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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Veröffentlicht in:	SC19: International Conference for High Performance Computing, Networking, Storage and Analysis S. 1 - 18
Hauptverfasser:	Gates, Mark, Kurzak, Jakub, Charara, Ali, YarKhan, Asim, Dongarra, Jack
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 17.11.2019
Schlagworte:	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
Online-Zugang:	Volltext
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