Artículo

SMArtOp: A Java library for distributing high-dimensional sparse-matrix arithmetic operations

Tommasel, AntonelaIcon ; Godoy, Daniela LisIcon ; Zunino Suarez, Alejandro OctavioIcon
Fecha de publicación: 12/2017
Editorial: Elsevier Science
Revista: Science of Computer Programming
ISSN: 0167-6423
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

Sparse-matrix operations are commonplace in computational science, and novel solutions for speeding-up them are essential for numerous applications. SMArtOp is a software for efficiently dividing and distributing the processing of large-scale sparse-matrix arithmetic operations. This software relies on both the distinctive characteristics of each type of arithmetic operation and the particular matrices involved to split the operations into parallel and simpler tasks. Experimental evaluation showed the speeding-up and resource consumption advantages of the proposed software, in comparison to other linear-algebra libraries.
Palabras clave: Big-Scale Sparse-Matrix , Distributed Computing , Matrix Arithmetic Operation
 
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/58610
URL: http://www.sciencedirect.com/science/article/pii/S0167642317301260
DOI: https://doi.org/10.1016/j.scico.2017.06.005
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Articulos(ISISTAN)
Articulos de INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Citación
Tommasel, Antonela; Godoy, Daniela Lis; Zunino Suarez, Alejandro Octavio; SMArtOp: A Java library for distributing high-dimensional sparse-matrix arithmetic operations; Elsevier Science; Science of Computer Programming; 150; 12-2017; 26-30
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