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thesis
oaioai:iris.uniroma1.it:11573/864567

HPC techniques for large scale data analysis

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Publication date
12 December 2015
Publisher
Università degli Studi di Roma "La Sapienza"

Abstract

In the present work we apply High-Performance Computing techniques to two Big Data problems. The frst one deals with the analysis of large graphs by using a parallel distributed architecture, whereas the second one consists in the design and implementation of a scalable solution for fast indexing and searching of large datasets of heterogeneous documents

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Archivio della ricerca- Università di Roma La Sapienza

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Last time updated on 12/11/2016

This paper was published in Archivio della ricerca- Università di Roma La Sapienza.

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