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Pushing memory bandwidth limitations through efficient implementations of Block-Krylov space solvers on GPUs

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Year: 2018
Type: article
Source: Computer Physics Communications
DOI: 10.1016/j.cpc.2018.06.019
Authors: M.A. Clark, Alexei Strelchenko, Alejandro Vaquero, Mathias Wagner, Evan Weinberg
Institutions: Nvidia (United States), Fermi National Accelerator Laboratory, University of Utah, Boston University
Language: English

Topic: Matrix Theory and Algorithms
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, U.S. Department of Energy, Office of Science, National Nuclear Security Administration, High Energy Physics, Oak Ridge National Laboratory
Awards: Lattice Gauge Theory at the Intensity Frontier, G1193633358, G1796307089, G2366088775, G3886122786, G4404904460, G498139845, G5616713406, G585908603, G716412294, G86560745, G969889393
OpenAlex ID: W2767023738
FWCI: 1.939
Cites: 48
Cited by: 17
Related to: 10
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