Recent Submissions

  • Machine Learning-based Query Augmentation for SPARQL Endpoints 

    Rico, Mariano; Touma, Rizkallah; Queralt Calafat, Anna; Pérez, María S. (2018)
    Conference lecture
    Open Access
    Linked Data repositories have become a popular source of publicly-available data. Users accessing this data through SPARQL endpoints usually launch several restrictive yet similar consecutive queries, either to find the ...
  • When and How to Apply Statistics, Machine Learning and Deep Learning Techniques 

    Berral-García, Josep Ll. (IEEE, 2018-09-21)
    Conference lecture
    Open Access
    Machine Learning has become 'commodity' in engineering and experimental sciences, as calculus and statistics did before. After the hype produced during the 00's, machine learning (statistical learning, neural networks, ...
  • LAEC: Look-Ahead Error Correction Codes in Embedded Processors L1 Data Cache 

    Benedicte, Pedro; Hernandez, Carles; Abella, Jaume; Cazorla, Francisco J. (IEEE, 2019-05-16)
    Conference lecture
    Open Access
    As implementation technology shrinks, the presence of errors in cache memories is becoming an increasing issue in all computing domains. Critical systems, e.g. space and automotive, are specially exposed and susceptible ...
  • Assessing the Adherence of an Industrial Autonomous Driving Framework to ISO 26262 Software Guidelines 

    Tabani, Hamid; Kosmidis, Leonidas; Abella, Jaume; Cazorla, Francisco J.; Bernat, Guillem (Association for Computing Machinery (ACM), 2019-06-06)
    Conference lecture
    Open Access
    The complexity and size of Autonomous Driving (AD) software are comparably higher than that of software implementing other (standard) functionalities in the car. To make things worse, a big fraction of AD software is not ...
  • Approximating a Multi-Grid Solver 

    Le Fèvre, Valentin; Bautista-Gomez, Leonardo; Unsal, Osman; Casas, Marc (IEEE, 2019-02-14)
    Conference lecture
    Open Access
    Multi-grid methods are numerical algorithms used in parallel and distributed processing. The main idea of multigrid solvers is to speedup the convergence of an iterative method by reducing the problem to a coarser grid a ...
  • Towards limiting the impact of timing anomalies in complex real-time processors 

    Benedicte, Pedro; Abella, Jaume; Hernandez, Carles; Mezzetti, Enrico; Cazorla, Francisco J. (Association for Computing Machinery (ACM), 2019-01-21)
    Conference report
    Open Access
    Timing verification of embedded critical real-time systems is hindered by complex designs. Timing anomalies, deeply analyzed in static timing analysis, require specific solutions to bound their impact. For the first time, ...
  • Towards Ad Hoc Recovery for Soft Errors 

    Losada, Nuria; Bautista-Gomez, Leonardo; Keller, Kai; Unsal, Osman (IEEE, 2018-12-06)
    Conference lecture
    Open Access
    The coming exascale era is a great opportunity for high performance computing (HPC) applications. However, high failure rates on these systems will hazard the successful completion of their execution. Bit-flip errors in ...
  • Maximum-Contention Control Unit (MCCU): Resource Access Count and Contention Time Enforcement 

    Cardona, Jordi; Hernandez, Carles; Abella, Jaume; Cazorla, Francisco J. (IEEE, 2019-04-16)
    Conference lecture
    Open Access
    In real-time systems, the techniques to derive bounds to the contention tasks can suffer in multicore build on resource quota monitoring and enforcement. Existing techniques track and bound the number of requests to hardware ...
  • AURIX TC277 Multicore Contention Model Integration for Automotive Applications 

    Mezzetti, Enrico; Barbina, Luca; Abella, Jaume; Botta, Stefania; Cazorla, Francisco J. (IEEE, 2019-05-16)
    Conference lecture
    Open Access
    The ability to produce early guaranteed performance (worst-case execution time) estimates for multicores, i.e. before software from different providers gets integrated onto the same critical system, is pivotal. This helps ...
  • Multicore Early Design Stage Guaranteed Performance Estimates for the Space Domain 

    Fernandez, Mikel; Fernandez, Gabriel; Abella, Jaume; Cazorla, Francisco J. (IEEE, 2019-05-16)
    Conference lecture
    Open Access
    The ability to produce early guaranteed performance (worst-case execution time) estimates for multicores, i.e. before software from different providers gets integrated onto the same critical system, is pivotal. This helps ...
  • Deep Learning is blowing in the wind. Deep models applied to wind prediction at turbine level 

    Manero, Jaume; Béjar, Javier; Cortés García, Claudio Ulises (IOP Publishing, 2019-05)
    Article
    Open Access
    Wind Energy generation depends on the existence of wind, a meteorological phenomena intermittent by nature, with the consequence of generating uncertainty on the availability of wind energy in the future. The grid stability ...
  • Time-Randomized Wormhole NoCs for Critical Applications 

    Slijepcevic, Mladen; Hernandez, Carles; Abella, Jaume; Cazorla, Francisco J. (Association for Computing Machinery (ACM), 2019-02)
    Article
    Open Access
    Wormhole-based NoCs (wNoCs) are widely accepted in high-performance domains as the most appropriate solution to interconnect an increasing number of cores in the chip. However, wNoCs suitability in the context of critical ...

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