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.
HPC techniques for large scale data analysis / Carbone, Giancarlo. - ELETTRONICO. - (2015 Dec 12).
HPC techniques for large scale data analysis
CARBONE, Giancarlo
12/12/2015
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.File allegati a questo prodotto
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Tesi dottorato Carbone
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