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Automatic Tuning to Performance Modelling of Matrix Polynomials on Multicore and Multi-GPU Systems

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Automatic Tuning to Performance Modelling of Matrix Polynomials on Multicore and Multi-GPU Systems

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Boratto, M.; Alonso-Jordá, P.; Gimenez, D.; Lastovetsky, A. (2017). Automatic Tuning to Performance Modelling of Matrix Polynomials on Multicore and Multi-GPU Systems. The Journal of Supercomputing. 73(1):227-239. https://doi.org/10.1007/s11227-016-1694-y

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/152271

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Title: Automatic Tuning to Performance Modelling of Matrix Polynomials on Multicore and Multi-GPU Systems
Author: Boratto, Murilo Alonso-Jordá, Pedro Gimenez, Domingo Lastovetsky, Alexey
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Automatic tuning methodologies have been used in the design of routines in recent years. The goal of these methodologies is to develop routines which automatically adapt to the conditions of the underlying computational ...[+]
Subjects: Automatic Tuning , Matrix Polynomials , Performance , Multicore , Multi-GPU
Copyrigths: Reserva de todos los derechos
Source:
The Journal of Supercomputing. (issn: 0920-8542 )
DOI: 10.1007/s11227-016-1694-y
Publisher:
Springer-Verlag
Publisher version: https://doi.org/10.1007/s11227-016-1694-y
Thanks:
This work has been partially supported by Generalitat Valenciana under Grant PROM-ETEOII/2014/003, and by the Spanish MINECO, as well as European Commission FEDER funds, under Grant TEC2015-67387-C4-1-R and TIN2015-66972-C5-3-R, ...[+]
Type: Artículo

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