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   <dc:title>Optimization of the cluster analysis tool pyProCT with pyCOMPSs</dc:title>
   <dc:title>pyProCT optimization</dc:title>
   <dc:creator>Alvarez Vecino, Pol</dc:creator>
   <dc:subject>Àrees temàtiques de la UPC::Informàtica</dc:subject>
   <dc:subject>Supercomputers</dc:subject>
   <dc:subject>paral·lel</dc:subject>
   <dc:subject>python</dc:subject>
   <dc:subject>clustering</dc:subject>
   <dc:subject>superordinadors</dc:subject>
   <dc:subject>hpc</dc:subject>
   <dc:subject>Supercomputadors</dc:subject>
   <dcterms:abstract>PyProCT és una eina Python de clustering de propòsit general. PyCOMPSs és un entorn de treball que facilita el desenvolupament de d'aplicacions paral·leles en Python. L'objectiu d'aquest projecte és modificar pyProCT per a que usi pyCOMPSs per a millorar el seu rendiment.</dcterms:abstract>
   <dcterms:abstract>PyProCT is a general purpose clustering analysis software. PyCOMPSs is a parallelization framework that facilitates the development of parallel computational workflows in Python. This project will refactor pyProCT with the pyCOMPSs framework to increase its performance.</dcterms:abstract>
   <dcterms:issued>2015-10-26</dcterms:issued>
   <dc:type>Bachelor thesis</dc:type>
   <dc:rights>Open Access</dc:rights>
   <dc:publisher>Universitat Politècnica de Catalunya</dc:publisher>
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