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Fast Matrix Multiplication with Big Sparse Data Cover
By: G. Somasekhar and  K. Karthikeyan  
Open Access
|Apr 2017

Abstract

Big Data becameabuzz word nowadays due to the evolution of huge volumes of data beyond peta bytes. This article focuses on matrix multiplication with big sparse data. The proposed FASTsparse MULalgorithm outperforms the state-of-the-art big matrix multiplication approaches in sparse data scenario.

DOI: https://doi.org/10.1515/cait-2017-0002 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 16 - 30
Published on: Apr 6, 2017
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 G. Somasekhar, K. Karthikeyan, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.