Recent Submissions

  • Heuristic-based task-to-thread mapping in multi-core processors 

    Samadi Gharajeh, Mohammad; Royuela Alcázar, Sara; Pinho, Luis Miguel; Carvalho, Tiago; Quiñones Moreno, Eduardo (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    OpenMP can be used in real-time applications to enhance system performance. However, predictability of OpenMP applications is still a challenge. This paper investigates heuristics for the mapping of OpenMP task graphs in ...
  • On the MC/DC code coverage of Vulkan SC GPU code 

    Martín Alemán, Jaime Luis; Agenjo, Antonio; Carretero Jiménez, Sergio; Kosmidis, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Next generation avionics systems require high performance, which can be provided by graphics processing units (GPUs). The newly introduced API Vulkan SC, enables the development of safety critical GPU software with complex ...
  • OmpSs-2@Cluster: Distributed memory execution of nested OpenMP-style tasks 

    Aguilar Mena, Jimmy; Ali, Omar Shaaban Ibrahim; Beltran Querol, Vicenç; Carpenter, Paul Matthew; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Springer Nature, 2022)
    Conference report
    Restricted access - publisher's policy
    State-of-the-art programming approaches generally have a strict division between intra-node shared memory parallelism and inter-node MPI communication. Tasking with dependencies offers a clean, dependable abstraction for ...
  • Functional and timing implications of transient faults in critical systems 

    Kritikakou, Angeliki; Nikolaou, Panagiota; Rodríguez Ferrández, Iván; Paturel, Joseph; Kosmidis, Leonidas; Michael, Maria K.; Sentieys, Olivier; Steenari, David (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Embedded systems in critical domains, such as auto-motive, aviation, space domains, are often required to guarantee both functional and temporal correctness. Considering transient faults, fault analysis and mitigation ...
  • Sources of single event effects in the NVIDIA Xavier SoC family under proton irradiation 

    Rodríguez Ferrández, Iván; Tali, Maris; Kosmidis, Leonidas; Rovituso, Marta; Steenari, David (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    In this paper we characterise two embedded GPU devices from the NVIDIA Xavier family System-on-Chip (SoC) using a proton beam. We compare the NVIDIA Xavier NX and Industrial devices, that respectively target commercial and ...
  • Focus and bias: will it blend? 

    Arias Duart, Anna; Parés Pont, Ferran; Giménez Ábalos, Víctor; Garcia Gasulla, Dario (IOS Press, 2022)
    Conference report
    Open Access
    One direct application of explainable AI feature attribution methods is to be used for detecting unwanted biases. To do so, domain experts typically have to review explained inputs, checking for the presence of unwanted ...
  • Deep Air: A smart city AI synthetic data digital twin solving the scalability data problems 

    Almirall, Esteve; Callegaro, Davide; Bruins, Peter; Santamaría Varas, Mar; Martínez Díez, Pablo; Cortés García, Claudio Ulises (IOS Press, 2022)
    Conference report
    Open Access
    Cities are becoming data-driven, re-engineering their processes to adapt to dynamically changing needs. A.I. brings new capabilities, effectively enlarging the space of policy interventions that can be explored and applied. ...
  • Automatic vehicle counting area creation based on vehicle deep learning detection and DBSCAN 

    Alvarez Piña, Gerardo; Moya Sánchez, Eduardo Ulises; Sánchez-Pérez, Abraham; Cortés García, Claudio Ulises (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Deep learning and high-performance computing have augmented and speed-up the scope of video-based vehicles' massive counting. The automatic vehicle counts result from the detection and tracking of the vehicles in certain ...
  • End-to-end QoS for the open source safety-relevant RISC-V SELENE platform 

    Andreu Cerezo, Pablo; Hernández Luz, Carles; Picornell Sanjuan, Tomás; López Rodríguez, Pedro; Alcaide Portet, Sergi; Bas Jalón, Francisco; Benedicte Illescas, Pedro; Chang, Feng; Cabo Pitarch, Guillem; Fuentes Díaz, Francisco Javier; Abella Ferrer, Jaume (arXiv, 2022)
    Conference report
    Open Access
    This paper presents the end-to-end QoS approach to provide performance guarantees followed in the SELENEplatform, a high-performance RISC-V based heterogeneous SoC for safety-related real-time systems. Our QoS approach ...
  • Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation 

    Bravo Rocca, Gusseppe Jesus; Liu, Peini; Guitart Fernández, Jordi; Dholakia, Ajay; Ellison, David; Hodak, Miroslav (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference lecture
    Open Access
    Increasing a ML model accuracy is not enough, we must also increase its trustworthiness. This is an important step for building resilient AI systems for safety-critical applications such as automotive, finance, and healthcare. ...
  • A review of CNN accelerators for embedded systems based on RISC-V 

    Sanchez Flores, Alejandra; Álvarez Martí, Lluc; Alorda Ladaria, Bartomeu (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference lecture
    Open Access
    One of the great challenges of computing today is sustainable energy consumption. In the deployment of edge computing this challenge is particularly important considering the use of embedded equipment with limited energy ...
  • Obstruction level detection of sewers videos using convolutional neural networks 

    Gutiérrez Mondragón, Mario Alberto; Garcia Gasulla, Dario; Álvarez Napagao, Sergio; Brossa Ordoñez, Jaume; Gimenez Esteban, Rafael (International journal of structural and civil engineering research (IJSCER), 2021)
    Conference report
    Open Access
    Worldwide, sewer networks are designed to transport wastewater to a centralized treatment plant to be treated and returned to the environment. This is a critical process for preventing waterborne illnesses, providing safe ...

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