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Multi-threaded dense linear algebra libraries for low-power asymmetric multicore processors

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Multi-threaded dense linear algebra libraries for low-power asymmetric multicore processors

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Catalán, S.; Herrero, JR.; Igual Peña, FD.; Rodríguez-Sánchez, R.; Quintana Ortí, ES.; Adeniyi-Jones, C. (2018). Multi-threaded dense linear algebra libraries for low-power asymmetric multicore processors. Journal of Computational Science. 25:140-151. https://doi.org/10.1016/j.jocs.2016.10.020

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/147617

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Title: Multi-threaded dense linear algebra libraries for low-power asymmetric multicore processors
Author: Catalán, Sandra Herrero, José R. Igual Peña, Francisco Daniel Rodríguez-Sánchez, Rafael Quintana Ortí, Enrique Salvador Adeniyi-Jones, Chris
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] Dense linear algebra libraries, such as BLAS and LAPACK, provide a relevant collection of numerical tools for many scientific and engineering applications. While there exist high performance implementations of the ...[+]
Subjects: Dense linear algebra , BLAS , LAPACK , Asymmetric multicore processors , Multi-threading , High performance computing
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Journal of Computational Science. (issn: 1877-7503 )
DOI: 10.1016/j.jocs.2016.10.020
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.jocs.2016.10.020
Thanks:
The researchers from Universidad Jaume I were supported by projects CICYT TIN2011-23283 and TIN2014-53495-R of MINECO and FEDER, and the FPU program of MECD. The researcher from Universidad Complutense de Madrid was supported ...[+]
Type: Artículo

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