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    • SISTEMES OPERATIUS (Examen 1r quadrimestre) 

      Becerra Fontal, Yolanda (Universitat Politècnica de Catalunya, 2004-01-26)
      Examen
      Accés restringit a la comunitat UPC

    • SISTEMES OPERATIUS (Examen 1r quadrimestre) 

      Becerra Fontal, Yolanda (Universitat Politècnica de Catalunya, 2003-11-20)
      Examen
      Accés restringit a la comunitat UPC

    • Spark deployment and performance evaluation on the MareNostrum supercomputer 

      Tous Liesa, Rubén; Gounaris, Anastasios; Tripiana, Carlos; Torres Viñals, Jordi; Girona Turell, Sergi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Becerra Fontal, Yolanda; Carrera Pérez, David; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Text en actes de congrés
      Accés obert
      In this paper we present a framework to enable data-intensive Spark workloads on MareNostrum, a petascale supercomputer designed mainly for compute-intensive applications. As far as we know, this is the first attempt to ...

    • Speeding up distributed MapReduce applications using hardware accelerators 

      Becerra Fontal, Yolanda; Beltran Querol, Vicenç; Carrera Pérez, David; González Tallada, Marc; Torres Viñals, Jordi; Ayguadé Parra, Eduard (2009-09)
      Text en actes de congrés
      Accés obert
      In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system architectures, operating systems and networks. ...

    • The OTree: multidimensional indexing with efficient data sampling for HPC 

      Cugnasco, Cesare; Calmet, Hadrien; Santamaria Mateu, Pol; Sirvent Pardell, Raül; Eguzkitza, Ane Beatriz; Houzeaux, Guillaume; Becerra Fontal, Yolanda; Torres Viñals, Jordi; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
      Accés obert
      Spatial big data is considered an essential trend in future scientific and business applications. Indeed, research instruments, medical devices, and social networks generate hundreds of petabytes of spatial data per year. ...

    • Towards specification of a software architecture for cross-sectoral big data applications 

      Arapakis, Ioannis; Becerra Fontal, Yolanda; Boehm, Omer; Bravos, Geroge; Chatzigiannakis, Vassilis; Cugnasco, Cesare; Demetriou, Giorgos; Eleftheriou, Iliada; Mascolo, Julien Etienne; Fodor, Lidija; Ioannidis, Sotiris; Jakovetic, Dusan; Kallipolitis, Leonidas; Kavakli, Evangelia; Kopanaki, Despina; Kourtellis, Nicolas; Marcos, Mario Maawad; Martin de Pozuelo, Ramon; Milosevic, Nemanja; Morandi, Giuditta; Pages Montanera, Enric; Ristow, Gerald; Sakellariou, Rizos; Sirvent, Raül; Skrbic, Srdjan; Spais, Ilias; Vasiliadis, Giorgos; Vinov, Michael (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Comunicació de congrés
      Accés obert
      The proliferation of Big Data applications puts pressure on improving and optimizing the handling of diverse datasets across different domains. Among several challenges, major difficulties arise in data-sensitive domains ...

    • Workflow environments for advanced cyberinfrastructure platforms 

      Badia Sala, Rosa Maria; Ejarque Artigas, Jorge; Lordan Gomis, Francesc; Lezzi, Daniele; Conejero Bañón, Javier; Álvarez Cid-Fuentes, Javier; Becerra Fontal, Yolanda; Queralt Calafat, Anna (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
      Accés obert
      Progress in science is deeply bound to the effective use of high-performance computing infrastructures and to the efficient extraction of knowledge from vast amounts of data. Such data comes from different sources that ...