Sandro Fiore

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Jack Dongarra, Pete Beckman, Terry Moore, Patrick Aerts, Giovanni Aloisio, Jean-­‐Claude Andre, David Barkai, Jean-­‐Yves Berthou, Taisuke Boku, Bertrand Braunschweig, Franck Cappello, Barbara Chapman, Xuebin Chi, Alok Choudhary, Sudip Dosanjh, Thom Dunning, Sandro Fiore, Al Geist, Bill Gropp, Robert Harrison, Mark Hereld, Michael Heroux, Adolfy Hoisie, Koh(More)
Current production Grids involve hundreds of sites and thousands of machines. In this context, P2P solutions are well suited - with regard to existing centralized and hierarchical approaches - to implement highly scalable, decentralized, reliable and manageable grid services. In this paper we describe the GReIC Data Gather Service from an architectural and(More)
Even though many useful tools for sequence alignment are available, such as BLAST and PSI-BLAST by NCBI and FASTA by the University of Virginia, a key issue regarding sequence databases is their size, growing at an exponential rate. Grid and parallel computing are crucial techniques to maintain and improve the effectiveness of sequence comparison tools,(More)
This work introduces Ophidia, a big data analytics research effort aiming at supporting the access, analysis and mining of scientific (n-dimensional array based) data. The Ophidia platform extends, in terms of both primitives and data types, current relational database system implementations (in particular MySQL) to enable efficient data analysis tasks on(More)
The Ophidia project is a research effort addressing big data analytics requirements, issues, and challenges for eScience. We present here the Ophidia analytics framework, which is responsible for atomically processing, transforming and manipulating array-based data. This framework provides a common way to run on large clusters analytics tasks applied to big(More)
Today Geographic Information Systems (GIS) provide several tools for studying and analyzing varied human and natural phenomena, therefore GIS and geospatial data has grown so much in both public and private organizations. A challenge is the integration of these data to get innovative and exhaustive knowledge about topics of interest. In this paper we(More)