Fast Matrix Multiplication with Big Sparse Data

G. Somasekhar; K. Karthikeyan

doi:10.1515/cait-2017-0002

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Fast Matrix Multiplication with Big Sparse Data

Cybernetics and Information Technologies

Volume 17 (2017): Issue 1 (March 2017)

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.

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Articles in this issue

DOI: https://doi.org/10.1515/cait-2017-0002 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

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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

Keywords:

Sparse data,

sparse matrices multiplication,

Big Data,

Mapreduce

Related subjects:

Computer sciences,

Information technology

© 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.

Volume 17 (2017): Issue 1 (March 2017)