Now showing items 1-4 of 4

  • Advanced vector architectures for future applications 

    Arriaga-Valera, Enrique; Espinosa-Oviedo, Javier A.; Vargas-Solar, Genoveva; Dávila-Pérez, Rogelio (Barcelona Supercomputing Center, 2017-05-04)
    Conference report
    Open Access
    Although there has been a lot of progress in the domain of automatic knowledge discovery (e.g., deep learning), we believe humans play a central role in the data analysis task. Therefore, we propose to build a visual stream ...
  • Comparing electoral campaigns by analysing online data 

    Espinosa-Oviedo, Javier; Vargas-Solar, Genoveva; Alexandrov, Vassil; Castel, Géraldine (Barcelona Supercomputing Center, 2015-05-05)
    Conference report
    Open Access
    The use of information and communication technologies (ICT) in the political sphere is nowadays a key aspect for running electoral campaigns. Thus, our work addresses the influence of ICT and candidate practices during ...
  • Crowd simulation and visualization 

    Perez, Hugo; Rudomin, Isaac; Ayguadé Parra, Eduard; Hernandez, Benjamin; Espinosa-Oviedo, Javier A.; Vargas-Solar, Genoveva (Barcelona Supercomputing Center, 2015-05-05)
    Conference report
    Open Access
    This paper presents a methodology to simulate and visualize crowds. Our goal is to represent the most realistic possible scenarios in a city. Due to the high demand of resources a GPU Cluster is used. We use real data from ...
  • Efficient and versatile data analytics for deep networks 

    Garcia Gasulla, Dario; Moreno Vázquez, Jonatan; Espinosa-Oviedo, Javier A.; Conejero, Javier; Vargas-Solar, Genoveva; Badia Sala, Rosa Maria; Cortés García, Claudio Ulises; Suzumura, Toyotaro (Barcelona Supercomputing Center, 2015-05-05)
    Conference report
    Open Access
    Deep networks (DN) perform cognitive tasks related with image and text at human-level. To extract and exploit the knowledge coded within these networks we propose a framework which combines state-of-the-art technology in ...