Recent Submissions

  • MoRS: An approximate fault modelling framework for reduced-voltage SRAMs 

    Yuksel, Ismail Emir; Salami, Behzad; Ergin, Oguz; Unsal, Osman Sabri; Cristal Kestelman, Adrián (2021)
    Article
    Open Access
    On-chip memory (usually based on Static RAMs-SRAMs) are crucial components for various computing devices including heterogeneous devices, e.g, GPUs, FPGAs, ASICs to achieve high performance. Modern workloads such as Deep ...
  • The Camp Nou Stadium as a testbed for city physiology: a modular framework for urban digital twins 

    Meta, Irene; Serra Burriel, Feliu; Carrasco Jiménez, José Carlos; Cucchietti, Fernando; Diví Cuesta, Carla; García Calatrava, Carlos; García Povedano, David; Graells Garrido, Eduardo; Navarro Jimenez, German; Lázaro Gel, Quim; Reyes Valenzuela, Patricio Alejandro; Navarro Mateu, Diego; Gil Julian, Alex; Eguskiza Martínez, Imanol (Wiley-Blackwell, 2021-10-12)
    Article
    Open Access
    In this paper, the Camp Nou stadium is used as a testbed for City Physiology, a theoretical framework for urban digital twins. With this case study, the modularity and adaptability of the framework, originally intended for ...
  • Revisiting active object stores: Bringing data locality to the limit with NVM 

    Barceló Cuerda, Alex; Queralt Calafat, Anna; Cortés, Toni (Elsevier, 2021-11-02)
    Article
    Restricted access - publisher's policy
    Object stores are widely used software stacks that achieve excellent scale-out with a well-defined interface and robust performance. However, their traditional get/put interface is unable to exploit data locality at its ...
  • Towards functional safety compliance of matrix–matrix multiplication for machine learning-based autonomous systems 

    Fernández Muñoz, Javier; Pérez Cerrolaza, Jon; Agirre Troncoso, Irune; Allende, Imanol; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (2021-12)
    Article
    Restricted access - publisher's policy
    Autonomous systems execute complex tasks to perceive the environment and take self-aware decisions with limited human interaction. This autonomy is commonly achieved with the support of machine learning algorithms. The ...
  • Environmental heterogeneity in human health studies. A compositional methodology for Land Use and Land cover data 

    Zaldo Aubanell, Quim; Serra Mochales, Isabel; Bach, Albert; Knobel, Pablo; Campillo i López, Ferran; Belmonte, Jordina; Daunis i Estadella, Pepus; Maneja, Roser (Elsevier, 2021)
    Article
    Open Access
    The use of Land use and Land cover (LULC) data is gradually becoming more widely spread in studies relating the environment to human health. However, little research has acknowledged the compositional nature of these data. ...
  • Achieving diverse redundancy for GPU Kernels 

    Alcaide Portet, Sergi; Kosmidis, Leonidas; Hernández Luz, Carles; Abella Ferrer, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Article
    Open Access
    Autonomous driving requires high-performance computing devices including general-purpose CPUs as well as specific accelerators, with GPUs having a key role due to their flexibility. Safety-critical microcontrollers have ...
  • A parallel dynamic asynchronous framework for uncertainty quantification by hierarchical Monte Carlo algorithms 

    Tosi, Riccardo; Amela Milian, Ramon; Badia Sala, Rosa Maria; Rossi, Riccardo (Springer Nature, 2021-09-13)
    Article
    Open Access
    The necessity of dealing with uncertainties is growing in many different fields of science and engineering. Due to the constant development of computational capabilities, current solvers must satisfy both statistical ...
  • Automatic distributed deep learning using resource-constrained edge devices 

    Gutiérrez Torre, Alberto; Bahadori, Kiyana; Baig, Shuja-ur-Rehman; Iqbal, Waheed; Vardanega, Tullio; Berral García, Josep Lluís; Carrera Pérez, David (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Article
    Open Access
    Processing data generated at high volume and speed from the Internet of Things, smart cities, domotic, intelligent surveillance, and e-healthcare systems require efficient data processing and analytics services at the Edge ...
  • The evolution of the ventilatory ratio is a prognostic factor in mechanically ventilated COVID-19 ARDS patients 

    Torres, Antoni; Motos, Anna; Riera, Jordi; Fernández Barat, Laia; Ceccato, Adrián; Pérez Arnal, Raquel; Garcia Gasulla, Dario (BMC, 2021)
    Article
    Open Access
    Background Mortality due to COVID-19 is high, especially in patients requiring mechanical ventilation. The purpose of the study is to investigate associations between mortality and variables measured during the first three ...
  • ADBench: benchmarking autonomous driving systems 

    Tabani, Hamid; Pujol Torramorell, Roger; Alcón Doganoc, Miguel; Moya Riera, Joan; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (2021-07-12)
    Article
    Restricted access - publisher's policy
    Driven by the improvements in a variety of domains, autonomous driving is becoming a reality and today, industry aims at moving toward fully autonomous vehicles. High-tech chip manufacturers are designing high-performance ...
  • DOME: recommendations for supervised machine learning validation in biology 

    Walsh, Ian; Fishman, Dmytro; Garcia Gasulla, Dario; Titma, Tiina; Pollastri, Gianluca; ELIXIR Machine Learning Focus Group; Harrow, Jennifer; Psomopoulos, Fotis E.; Tosatto, Silvio C. E. (Nature Research, 2021)
    Article
    Restricted access - publisher's policy
    Supervised machine learning is widely used in biology and deserves more scrutiny. We present a set of community-wide recommendations (DOME) aiming to help establish standards of supervised machine learning validation in ...
  • Directive mmWave radio channel modeling in a ship hull 

    De Beelde, Brecht; Almarcha Lopéz, Andrés; Plets, David; Yusuf, Marwan; Tanghe, Emmeric; Joseph, Wout (Cambridge University Press, 2021)
    Article
    Restricted access - publisher's policy
    Wireless connectivity has been realized for multiple environments and different frequency bands. However, little research exists about mmWave communication in industrial environments. This paper presents the 60 GHz ...

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