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Report . 2015
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Métodos Iterativos para Sistemas Lineales Grandes

descriptionPublicationkeyboard_double_arrow_right Report 01 Oct 2015 Costa Rica Spanish Publisher:Instituto Tecnológico de Costa Rica
Authors: Figueroa-Mata, Geovanni; Carrera-Retana, Ernesto;

handle: 2238/6283

Métodos Iterativos para Sistemas Lineales Grandes

Abstract

The computing power built into the graphics processing units (GPU) from Nvidia new video cards has permitted parallel processing to solve problems that require computational power and are not linked to the graphical environment for that were originally created. This project apply this technology to the solution of large linear systems.

Proyecto de Investigación (Código 5402-1701-0101) Instituto Tecnológico de Costa Rica. Vicerrectoría de Investigación y Extensión (VIE). Escuela de Matemática, 2012

Instituto Tecnológico de Costa Rica.

Country
Costa Rica
Related Organizations
Keywords

Gradiente, Matrices, Procesamiento, Características

  • BIP!
    Impact byBIP!
    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green