Recent Submissions

  • Evaluation of joint controller placement for latency and reliability-aware control plane 

    Rasol, Kurdman Abdulrahman Rasol; Domingo Pascual, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference lecture
    Open Access
    The separation of the forwarding and control planes in software-defined networking provides flexibility for network management. The Controller Placement Problem (CPP) is an important issue affecting network performance. ...
  • BePOCH: Improving federated learning performance in resource-constrained computing devices 

    Ibraimi, Lenart; Selimi, Mennan; Freitag, Fèlix (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Inference with trained machine learning models is now possible with small computing devices while only a few years ago it was run mostly in the cloud only. The recent technique of Federated Learning offers now a way to do ...
  • Implementation of privacy and security for a genomic information system 

    Delgado Mercè, Jaime; Llorente Viejo, Silvia; Reig Gaset, Guillem (IOS Press, 2021)
    Conference report
    Open Access
    Genomic information is key for the implementation of real personalized medicine. Nevertheless, access to this kind of information must be controlled because of its high privacy and security requirements. Several genomic ...
  • FAIR aspects of a genomic information protection and management system 

    Delgado Mercè, Jaime; Llorente Viejo, Silvia (IOS Press, 2021)
    Conference report
    Open Access
    To handle genomic information while supporting FAIR principles, we present GIPAMS, a modular architecture. GIPAMS provides security and privacy to manage genomic information by means of several independent services and ...
  • Poster: Testbed in wireless city mesh network with application to federated learning experiments 

    Freitag, Fèlix; Vilchez Blanco, Pedro; Wei, Lu; Liu, Chun-Hung; Selimi, Mennan (Association for Computing Machinery (ACM), 2021)
    Conference lecture
    Open Access
    The increase of the computing capacity of IoT devices and the appearance of lightweight machine learning frameworks have led to the situation that machine learning can nowadays be run in IoT applications at the network ...
  • Unveiling the potential of graph neural networks for robust intrusion detection 

    Pujol Perich, David; Suárez-Varela Maciá, José Rafael; Cabellos Aparicio, Alberto; Barlet Ros, Pere (2021)
    Conference report
    Open Access
    The last few years have seen an increasing wave of attacks with serious economic and privacy damages, which evinces the need for accurate Network Intrusion Detection Systems (NIDS). Recent works propose the use of Machine ...
  • Predict ATFCM weather regulations using a time-distributed recurrent neural network 

    Mas Pujol, Sergi; Salamí San Juan, Esther; Pastor Llorens, Enric (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Restricted access - publisher's policy
    In recent years, prior to COVID-19, capacity shortfalls in airspace and airports inevitably caused an increase in aircraft delays. Therefore, when it returns to normal conditions, the airspace will exhibit the same capacity ...
  • DO-178C certification of general-purpose GPU software: review of existing methods and future directions 

    Trompouki, Matina Maria; Kosmidis, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    —General-Purpose GPU software is considered for use in avionics to satisfy the increased computational requirements of future systems. Therefore, it needs to be certified following the DO-178C guidance as all airborne ...
  • An FPGA accelerator of the wavefront algorithm for genomics pairwise alignment 

    Haghi, Abbas; Marco-Sola, Santiago; Álvarez Martí, Lluc; Diamantopoulos, Dionysios; Hagleitner, Christoph; Moreto Planas, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    In the last years, advances in next-generation sequencing technologies have enabled the proliferation of genomic applications that guide personalized medicine. These applications have an enormous computational cost due to ...
  • DTM-NUCA: dynamic texture mapping-NUCA for energy-efficient graphics rendering 

    Corbalán Navarro, David; Aragón, Juan Luis; Parcerisa Bundó, Joan Manuel; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Modern mobile GPUs integrate an increasing number of shader cores to speedup the execution of graphics workloads. Each core integrates a private Texture Cache to apply texturing effects on objects, which is backed-up by a ...
  • TCOR: a tile cache with optimal replacement 

    Joseph, Diya; Aragón, Juan Luis; Parcerisa Bundó, Joan Manuel; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Cache Replacement Policies are known to have an important impact on hit rates. The OPT replacement policy [27] has been formally proven as optimal for minimizing misses. Due to its need to look far ahead for future memory ...
  • Explicit uncore frequency scaling for energy optimisation policies with EAR in Intel architectures 

    Corbalán González, Julita; Vidal Teruel, Oriol; Alonso Jane, Lluís; Aneas Gómez, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    EAR is an energy management framework which offers three main services: energy accounting, energy control and energy optimisation. The latter is done through the EAR runtime library (EARL). EARL is a dynamic, transparent, ...

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