A Grid Framework to enable parallel and concurrent TMA image analyses (Articolo in rivista)

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Label
  • A Grid Framework to enable parallel and concurrent TMA image analyses (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1504/IJGUC.2009.027653 (literal)
Alternative label
  • Galizia A.; D'Agostino D.; Clematis A. (2009)
    A Grid Framework to enable parallel and concurrent TMA image analyses
    in International journal of grid and utility computing (Print); Inderscience Publishers, Ginevra (Svizzera)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Galizia A.; D'Agostino D.; Clematis A. (literal)
Pagina inizio
  • 261 (literal)
Pagina fine
  • 271 (literal)
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  • This special issue follows the Second Workshop on P2P, Parallel, Grid and Internet Computing (3PGIC-2008) held at the Technical University of Catalonia in Barcelona, Spain, on 4-7 March, 2008. It comprises eight papers carefully selected based on their originality, significance, technical soundness and clarity of exposition. (literal)
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  • http://www.inderscience.com/search/index.php?action=record&rec_id=27653 (literal)
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  • 1 (literal)
Rivista
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  • Inderscience Publisher, 2009 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 3 (literal)
Note
  • Scopu (literal)
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  • Galizia A.; D'Agostino D.; Clematis A. IMATI-CNR, Via De Marini 6, 16149 Genova, Italy (literal)
Titolo
  • A Grid Framework to enable parallel and concurrent TMA image analyses (literal)
Abstract
  • The Grid represents a great opportunity for the scientific community to solve computing intensive problems and share data. To actually allow its use, it is necessary to provide specific tools and enable a simplified exploitation of Grid resources. We address these topics in bioinformatics community to process images obtained through Tissue MicroArray technique. We developed Grid Framework for Tissue Microarray Analysis, shortly GF4TMA, that allows the selection and the analysis of TMA images on the Grid. In particular, users can analyse several images concurrently, and analyses are performed in parallel using Parallel IMAGE processing GEnoa Library, shortly PIMA(GE)² Lib. Therefore GF4TMA enables two levels of parallelism, the scheduling and the parallelism of the analyses are hidden to the users. A particular emphasis is posed on the two levels of parallelism provided by GF4TMA, and its effectiveness is discussed simulating different scenarios in Grid. (literal)
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