Recent Submissions

  • Enabling system wide shared memory for performance improvement in PyCOMPSs applications 

    Foyer, Clément; Conejero Bañón, Francisco Javier; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria; Tate, Adrian; McIntosh-Smith, Simon (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Python has been gaining some traction for years in the world of scientific applications. However, the high-level abstraction it provides may not allow the developer to use the machines to their peak performance. To address ...
  • Characterizing the impact of last-level cache replacement policies on big-data workloads 

    Jamet, Alexandre Valentin; Álvarez Martí, Lluc; Jiménez, Daniel A.; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    The vast disparity between Last Level Cache (LLC) and memory latencies has motivated the need for efficient cache management policies. The computer architecture literature abounds with work on LLC replacement policy. ...
  • Internet routing paths stability model and relation to forwarding paths 

    Papadimitriou, Dimitri; Careglio, Davide; Tarissan, Fabien; Demeester, Piet M.A. (Institute of Electrical and Electronics Engineers (IEEE), 2013)
    Conference report
    Open Access
    Analysis of real datasets to characterize the local stability properties of the Internet routing paths suggests that extending the route selection criteria to account for such property would not increase the routing path ...
  • Nonparametric statistical methods to analyze the internet connectivity reliability 

    Papadimitriou, Dimitri; Careglio, Davide (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Open Access
    Facing computational complexity when modeling network reliability by means of parametric models and corresponding statistical methods, in the present study, we apply nonparametric statistical methods, such as the Kaplan-Meier ...
  • On the experimentation of the novel GCMR multicast routing in a large-scale testbed 

    Careglio, Davide; Papadimitriou, Dimitri; Agraz Bujan, Fernando; Sahhaf, Sahel; Perelló Muntan, Jordi; Tavernier, Wouter (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Conference lecture
    Open Access
    Originally defined in the 90s, multicast is nowadays (re)gaining interest given the increasing popularity of multimedia streaming/content traffic and the explosion of cloud services. In fact, multicast yields bandwidth ...
  • ILP modeling of many-to-many transmissions in computer networks 

    Walkowiak, Krzysztof; Bulira, Damian; Careglio, Davide (Polish Academy of Sciences, 2012)
    Conference report
    Open Access
    Information flow in nowadays networks spreads in the exponential way. This fact is caused by the intensive changes in the Internet communication paradigms. Transmission in the Internet evolved from the simple one-to-one ...
  • Cost-aware prediction of uncorrected DRAM errors in the field 

    Boixaderas Coderch, Isaac; Živanovič, Darko; Moré Codina, Sergi; Bartolomé Rodríguez, Javier; Vicente Dorca, David; Casas Guix, Marc; Carpenter, Paul Matthew; Radojkovic, Petar; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    This paper presents and evaluates a method to predict DRAM uncorrected errors, a leading cause of hardware failures in large-scale HPC clusters. The method uses a random forest classifier, which was trained and evaluated ...
  • Supporting beyond 5G applications by coordinating AI-based intent operation: an example for multilayer metro networks 

    Tabatabaeimehr, Fatemehsadat; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Intent-based Networking (IBN) promises facilitating autonomous decision-making for service assurance. In this paper, we extend IBN by coordinating AI-based intents targeting at supporting beyond 5G services, like immersive ...
  • Reinforcement learning-based autonomous multilayer network operation 

    Barzegar, Sima; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    We propose an Intent-Based Networking solution based on Reinforcement Learning (RL). RL-based intents with specific operational objectives and coordinated operation between network layers are developed. Results show service ...
  • Guaranteeing QoS requirements in long-haul RINA networks 

    León Gaixas, Sergio; Perelló Muntan, Jordi; Careglio, Davide; Tarzan Lorente, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Open Access
    In the last years, networking scenarios have been evolving, hand-in-hand with new and varied applications with heterogeneous Quality of Service (QoS) requirements. These requirements must be efficiently and effectively ...
  • A hybrid packet/circuit optical transport architecture for DCN 

    Panahi, Nogol; Careglio, Davide; Solé Pareta, Josep (2019)
    Conference report
    Open Access
    The aim of this paper is to move away from today's multi-tier, manually operated, and performance limited Data Centre Network (DCN) towards more scalable, flexible, and optimized architecture of tomorrow. We propose a new ...
  • Improving predication efficiency through compaction/restoration of SIMD instructions 

    Barredo Ferreira, Adrián; Cebrián González, Juan Manuel; Moreto Planas, Miquel; Casas Guix, Marc; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Vector processors offer a wide range of unexplored opportunities to improve performance and energy efficiency. However, despite its potential, vector code generation and execution have significant challenges, the most ...

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