Enviaments recents

  • A methodology approach to compare performance of parallel programming models for shared-memory architectures 

    Utrera Iglesias, Gladys Miriam; Gil, Marisa; Martorell Bofill, Xavier (Springer, 2020)
    Capítol de llibre
    Accés obert
    The majority of current HPC applications are composed of complex and irregular data structures that involve techniques such as linear algebra, graph algorithms, and resource management, for which new platforms with varying ...
  • Petri net analysis using boolean manipulation 

    Pastor Llorens, Enric; Roig Mansilla, Oriol; Cortadella, Jordi; Badia Sala, Rosa Maria (Springer, 1994)
    Capítol de llibre
    Accés obert
    This paper presents a novel analysis approach for bounded Petri nets. The net behavior is modeled by boolean functions, thus reducing reasoning about Petri nets to boolean calculation. The state explosion problem is managed ...
  • Towards an energy-aware framework for application development and execution in heterogeneous parallel architectures 

    Djemame, Karim; Kavanagh, Richard; Kelefouras, Vasilios; Aguilà, Adrià; Ejarque, Jorge; Badia Sala, Rosa Maria; García-Pérez, David; Pezuela, Clara; Deprez, Jean-Christophe; Guedria, Lofti; De Landtsheer, Renaud; Georgiou, Yiannis (Springer, 2019)
    Capítol de llibre
    Accés obert
    The Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation (TANGO) project’s goal is to characterise factors which affect power consumption in software development and operation for ...
  • Hierarchical object detection with deep reinforcement learning 

    Bellver, Míriam; Giró Nieto, Xavier; Marqués Acosta, Fernando; Torres Viñals, Jordi (IOS Press, 2017-11-23)
    Capítol de llibre
    Accés restringit per política de l'editorial
    Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ...
  • Tackling IoT ultra large scale systems: Fog computing in support of hierarchical emergent behaviors 

    Roca, Damian; Milito, Rodolfo; Nemirovsky, Mario; Valero Cortés, Mateo (Springer, 2018)
    Capítol de llibre
    Accés obert
    The Internet of Things (IoT) marks a phase transition in the evolution of the Internet, distinguished by a massive connectivity and the interaction with the physical world. The organic evolution of IoT requires the ...
  • Overview on agent-based social modelling and the use of formal languages 

    Montañola Sales, Cristina; Cela Espín, José M.; Rubio Campillo, Xavier; Casanovas Garcia, Josep; Kaplan Marcusan, Adriana (IGI Global, 2013-07)
    Capítol de llibre
    Accés obert
    Transdisciplinary Models and Applications investigates a variety of programming languages used in validating and verifying models in order to assist in their eventual implementation. This book will explore different methods ...
  • ASCETiC: adapting service lifeCycle towards efficienT clouds 

    Juan Ferrer, Ana; Garcia Perez, David; Agiatzidou, Eleni; Lordan Gomis, Francesc-Josep; Ejarque, Jorge; Sirvent, Raul; Badia Sala, Rosa Maria; Guitart Fernández, Jordi; Ortiz, David; Macías Lloret, Mario; Deprez, Jean-Christophe; Ponsard, Christophe; Temporale, Christian; Panuccio, Pasquale; Sommacampagna, Davide; Blasi, Lorenzo; Djemame, Karim; Armstrong, Django; Kammer, Michael (SCITEPRESS, 2014-04)
    Capítol de llibre
    Accés restringit per política de l'editorial
    Reducing energy consumption is increasingly gaining attention in the area of Cloud computing, as means to reduce costs and improve corporate sustainability image. ASCETiC is focused on providing novel methods and tools to ...
  • Event detection in location-based social networks 

    Capdevila Pujol, Joan; Cerquides, Jesús; Torres Viñals, Jordi (Springer, 2017)
    Capítol de llibre
    Accés obert
    With the advent of social networks and the rise of mobile technologies, users have become ubiquitous sensors capable of monitoring various real-world events in a crowd-sourced manner. Location-based social networks have ...
  • Task-based crowd simulation for heterogeneous architectures 

    Perez, Hugo; Hernandez, Benjamin; Rudomin, Isaac; Ayguadé Parra, Eduard (2016-07-01)
    Capítol de llibre
    Accés restringit per política de l'editorial
    Industry trends in the coming years imply the availability of cluster computing with hundreds to thousands of cores per chip, as well as the use of accelerators. Programming presents a challenge due to this heterogeneous ...
  • AXIOM: a flexible platform for the smart home 

    Giorgi, Roberto; Bettin, Nicola; Gai, Paolo; Martorell Bofill, Xavier; Rizzo, Antonio (Springer, 2016-09-24)
    Capítol de llibre
    Accés restringit per política de l'editorial
    The AXIOM hardware/software platform aims at bringing easy programmability on top of a cluster of processors by using a fast interconnect and FPGA as a basis for building a scalable embedded system. The Smart Home is one ...
  • Large-scale social simulation, dealing with complexity challenges in high performance environments 

    Montañola Sales, Cristina; Rubio Campillo, Xavier; Casanovas Garcia, Josep; Cela Espín, José M.; Kaplan Marcusan, Adriana (IGI Global Inc, 2014-04-01)
    Capítol de llibre
    Accés restringit per política de l'editorial
    Advances on information technology in the past decades have provided new tools to assist scientists in the study of social and natural phenomena. Agent-based modeling techniques have flourished recently, encouraging the ...
  • Scaling DBSCAN-like algorithms for event detection systems in Twitter 

    Capdevila Pujol, Joan; Pericacho, Gonzalo; Torres Viñals, Jordi; Cerquides, Jesús (Springer, 2016-11-25)
    Capítol de llibre
    Accés obert
    The increasing use of mobile social networks has lately transformed news media. Real-world events are nowadays reported in social networks much faster than in traditional channels. As a result, the autonomous detection of ...

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