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Ara es mostren els items 22-32 de 32

    • Mejora del rendimiento de las aplicaciones Java usando cooperación entre el sistema operativo y la máquina virtual de Java 

      Becerra Fontal, Yolanda (Universitat Politècnica de Catalunya, 2006-09-15)
      Tesi
      Accés obert
      El uso de los entornos virtualizados de ejecución se ha extendido a todos los ámbitos y, en particular, se está utilizando para el desarrollo y la ejecución de aplicaciones con un alto consumo de recursos. Por lo tanto, ...

    • NagareDB: A resource-efficient document-oriented time-series database 

      García Calatrava, Carlos; Becerra Fontal, Yolanda; Cucchietti, Fernando; Diví Cuesta, Carla (2021-08-13)
      Article
      Accés obert
      The recent great technological advance has led to a broad proliferation of Monitoring Infrastructures, which typically keep track of specific assets along time, ranging from factory machinery, device location, or even ...

    • ParaView + Alya + D8tree: Integrating high performance computing and high performance data analytics 

      Artigues, Antoni; Cugnasco, Cesare; Becerra Fontal, Yolanda; Cucchietti, Fernando; Houzeaux, Guillaume; Vázquez, Mariano; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Elsevier, 2017)
      Article
      Accés obert
      Large scale time-dependent particle simulations can generate massive amounts of data, making it so that storing the results is often the slowest phase and the primary time bottleneck of the simulation. Furthermore, analysing ...

    • PyCOMPSs: Parallel computational workflows in Python 

      Tejedor, Enric; Becerra Fontal, Yolanda; Alomar, Guillem; Queralt Calafat, Anna; Badia Sala, Rosa Maria; Torres Viñals, Jordi; Cortés, Toni; Labarta Mancho, Jesús José (2017-01-01)
      Article
      Accés obert
      The use of the Python programming language for scientific computing has been gaining momentum in the last years. The fact that it is compact and readable and its complete set of scientific libraries are two important ...

    • 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 ...