Enviaments recents

  • PyCOMPSs: Parallel computational workflows in Python 

    Tejedor, Enric; Becerra Fontal, Yolanda; Alomar, Guillem; Queralt Calafat, Anna; Badia, Rosa M.; 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 ...
  • PaaS-IaaS inter-layer adaptation in an energy-aware cloud environment 

    Djemame, Karim; Bosch, Raimon; Kavanagh, Richard; Alvarez, Pol; Ejarque, Jorge; Guitart Fernández, Jordi; Blasi, Lorenzo (Institute of Electrical and Electronics Engineers (IEEE), 2017-06)
    Article
    Accés obert
    Cloud computing providers resort to a variety of techniques to improve energy consumption at each level of the cloud computing stack. Most of these techniques consider resource-level energy optimization at IaaS layer. This ...
  • Dataclay: A distributed data store for effective inter-player data sharing 

    Marti Fraiz, Jonathan; Queralt Calafat, Anna; Gasull Moreira, Daniel; Barceló Cuerda, Alex; Costa Prats, Juan José; Cortés, Toni (2017-09-01)
    Article
    Accés restringit per política de l'editorial
    In the Big Data era, both the academic community and industry agree that a crucial point to obtain the maximum benefits from the explosive data growth is integrating information from different sources, and also combining ...
  • Modelo en red de los contenidos mediáticos en la era de los dispositivos inteligentes 

    Morales Morante, Luís Fernando; Mas Manchón, Lluís; Tous Liesa, Rubén (2016-01-01)
    Article
    Accés obert
    The changes in the information technologies of the last two decades, represented by the democratization of the Internet and the availability of portable and intelligent handhelds, is associated with new business, communication ...
  • New benchmarking methodology and programming model for big data processing 

    Kos, Anton; Tomažic, Sašo; Salom, Jakob; Trifunovic, Nemanja; Valero Cortés, Mateo; Milutinovic, Veljko (2015-08)
    Article
    Accés obert
    Big data processing is becoming a reality in numerous real-world applications. With the emergence of new data intensive technologies and increasing amounts of data, new computing concepts are needed. The integration of big ...
  • Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster 

    Campos, Victor; Sastre, Francesc; Yagües, Maurici; Bellver, Míriam; Giró Nieto, Xavier; Torres Viñals, Jordi (Elsevier, 2017)
    Article
    Accés obert
    Deep learning algorithms base their success on building high learning capacity models with millions of parameters that are tuned in a data-driven fashion. These models are trained by processing millions of examples, so ...
  • The AXIOM platform for next-generation cyber physical systems 

    Theodoropoulos, Dimitris; Mazumdar, Somnath; Ayguadé Parra, Eduard; Bettin, Nicola; Bueno Hedo, Javier; Ermini, Sara; Filgueras Izquierdo, Antonio; Jiménez González, Daniel; Álvarez Martínez, Carlos; Martorell Bofill, Xavier; Montefoschi, Francesco; Oro Garcia, David; Pnevmatikatos, Dionisis; Rizzo, Antonio; Gai, Paolo; Garzarella, Stefano; Morelli, Bruno; Pomella, Alberto; Giorgi, Roberto (2017-06-03)
    Article
    Accés restringit per política de l'editorial
    Cyber-Physical Systems (CPSs) are widely used in many applications that require interactions between humans and their physical environment. These systems usually integrate a set of hardware-software components for optimal ...
  • Workflows for science: a challenge when facing the convergence of HPC and big data 

    Badia Sala, Rosa Maria; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (2017)
    Article
    Accés obert
    Workflows have been used traditionally as a mean to describe and implement the computing usually parametric studies and explorations searching for the best solution that scientific researchers want to perform. A workflow ...
  • An integrated vector-scalar design on an in-order ARM core 

    Stanic, Milan; Palomar Pérez, Óscar; Hayes, Timothy; Ratkovic, Ivan; Cristal Kestelman, Adrián; Unsal, Osman Sabri; Valero Cortés, Mateo (2017-07)
    Article
    Accés obert
    In the low-end mobile processor market, power, energy, and area budgets are significantly lower than in the server/desktop/laptop/high-end mobile markets. It has been shown that vector processors are a highly energy-efficient ...
  • Tweet-SCAN: an event discovery technique for geo-located tweets 

    Capdevila Pujol, Joan; Cerquides, Jesús; Nin, Jordi; Torres Viñals, Jordi (Elsevier, 2017-07-01)
    Article
    Accés restringit per política de l'editorial
    Twitter has become one of the most popular Location-based Social Networks (LBSNs) that bridges physical and virtual worlds. Tweets, 140-character-long messages, are aimed to give answer to the What’s happening? question. ...
  • cuHinesBatch: solving multiple hines systems on GPUs Human Brain Project 

    Valero-Lara, Pedro; Martinez-Perez, Ivan; Peña, Antonio J.; Martorell Bofill, Xavier; Sirvent, Raul; Labarta Mancho, Jesús José (Elsevier, 2017)
    Article
    Accés obert
    The simulation of the behavior of the Human Brain is one of the most important challenges today in computing. The main problem consists of finding efficient ways to manipulate and compute the huge volume of data that this ...
  • Dynamic configuration of partitioning in spark applications 

    Gounaris, Anastasios; Kougka, Georgia; Tous Liesa, Rubén; Tripiana, Carlos; Torres Viñals, Jordi (2017-07-01)
    Article
    Accés obert
    Spark has become one of the main options for large-scale analytics running on top of shared-nothing clusters. This work aims to make a deep dive into the parallelism configuration and shed light on the behavior of parallel ...

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