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paga:index [2012/10/16 08:28] morenopaga:index [2012/10/17 09:04] moreno
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 The goal of this project is to design, implement and evaluate parallel algorithms for large-scale graph analysis. In particular, we are interested in scalable approaches for computing centrality metrics on distributed memory architectures. Centrality metrics such as betweenness centrality, clustering coefficient, closeness centrality and others, are widely used in social network analysis. The goal of this project is to design, implement and evaluate parallel algorithms for large-scale graph analysis. In particular, we are interested in scalable approaches for computing centrality metrics on distributed memory architectures. Centrality metrics such as betweenness centrality, clustering coefficient, closeness centrality and others, are widely used in social network analysis.
  
-The PAGA project will last from 2012/10/02 to 2013/07/02.+The PAGA project is supported by an Italian Supercomputing Research Allocation (ISCRA) project HP10CR15I1 from 2012/10/02 to 2013/07/02. PAGA has been granted the use of [[http://www.hpc.cineca.it/hardware/ibm-bgq-fermi|FERMI]], an [[http://www.research.ibm.com/bluegene/index.html|IBM BlueGene/Q]] supercomputer installed at [[http://www.cineca.it/|CINECA]]. In June 2012, FERMI ranked at the 7th position in the [[http://www.top500.org/list/2012/06/100|Top500 list]].
  
 === Background === === Background ===
paga/index.txt · Last modified: 2013/03/27 12:41 by gdangelo

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