Recent Submissions

  • Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case 

    Almasan Puscas, Felician Paul; Suárez-Varela Maciá, José Rafael; Rusek, Krzysztof; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Elsevier, 2022-12-01)
    Article
    Restricted access - publisher's policy
    Deep Reinforcement Learning (DRL) has shown a dramatic improvement in decision-making and automated control problems. Consequently, DRL represents a promising technique to efficiently solve many relevant optimization ...
  • Graph signal reconstruction techniques for IoT air pollution monitoring platforms 

    Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2022-08-03)
    Article
    Open Access
    Air pollution monitoring platforms play a very important role in preventing and mitigating the effects of pollution. Recent advances in the field of graph signal processing have made it possible to describe and analyze air ...
  • A low-power IoT device for measuring water table levels and soil moisture to ease increased crop yields 

    López, Emiliano; Vionnet, Carlos; Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge; Contini, Guillermo; Prodolliet, Jorge; Maiztegui, José (2022-09-09)
    Article
    Open Access
    The simultaneous measurement of soil water content and water table levels is of great agronomic and hydrological interest. Not only does soil moisture represent the water available for plant growth but also water table ...
  • Building a Digital Twin for network optimization using graph neural networks 

    Ferriol Galmés, Miquel; Suárez-Varela Maciá, José Rafael; Paillissé Vilanova, Jordi; Shi, Xiang; Xiao, Shihan; Cheng, Xiangle; Barlet Ros, Pere; Cabellos Aparicio, Alberto (2022-11-09)
    Article
    Open Access
    Network modeling is a critical component of Quality of Service (QoS) optimization. Current networks implement Service Level Agreements (SLA) by careful configuration of both routing and queue scheduling policies. However, ...
  • Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach 

    Agosta, Giovanni; Aldinucci, Marco; Álvarez Martínez, Carlos; Ammendola, Roberto; Arfat, Yasir; Beaumont, Olivier; Bernaschi, Massimo; Filgueras Izquierdo, Antonio; Martorell Bofill, Xavier; Vidal, Miquel (2022-11)
    Article
    Restricted access - publisher's policy
    In the near future, Exascale systems will need to bridge three technology gaps to achieve high performance while remaining under tight power constraints: energy efficiency and thermal control; extreme computation efficiency ...
  • ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning 

    Almasan Puscas, Felician Paul; Xiao, Shihan; Cheng, Xiangle; Shi, Xiang; Barlet Ros, Pere; Cabellos Aparicio, Alberto (2022-09-04)
    Article
    Open Access
    Wide Area Networks (WAN) are a key infrastructure in today’s society. During the last years, WANs have seen a considerable increase in network’s traffic and network applications, imposing new requirements on existing network ...
  • Vector extensions in COTS processors to increase guaranteed performance in real-time systems 

    Pujol Torramorell, Roger; Jorba Jorba, Josep; Tabani, Hamid; Kosmidis, Leonidas; Mezzetti, Enrico; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (2022-08-31)
    Article
    Open Access
    The need for increased application performance in high-integrity systems like those in avionics is on the rise as software continues to implement more complex functionalities. The prevalent computing solution for future ...
  • SynFull-RTL: evaluation methodology for RTL NoC designs 

    Leyva Santes, Neiel Israel; Monemi, Alireza; Vallejo Gutiérrez, Enrique (Institute of Electrical and Electronics Engineers (IEEE), 2022-12)
    Article
    Open Access
    SynFull is a widely employed tool that generates realistic traffic patterns for the performance evaluation of a NoC. In this work, we identify the main limitations of SynFull: high variability and long simulation time and ...
  • Amazon Alexa traffic traces 

    Barceló Armada, Rubén; Castell Uroz, Ismael; Barlet Ros, Pere (2022-03)
    Article
    Open Access
    The number of devices that make up the Internet of Things (IoT) has been increasing every year, including smart speakers such as Amazon Echo devices. These devices have become very popular around the world where users with ...
  • Data reconstruction applications for IoT air pollution sensor networks using graph signal processing 

    Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Elsevier, 2022-09)
    Article
    Restricted access - publisher's policy
    The analysis of sensor networks for air pollution monitoring is challenging. Recent studies have demonstrated the ability to reconstruct the network measurements with graphs derived from the acquired data, thus describing ...
  • The holistic perspective of the INCISIVE Project: artificial intelligence in screening mammography 

    Lazic, Ivan; Agulló López, Ferran; Aussó Trias, Susanna; Alves, Bruno; Barelle, Caroline; Berral García, Josep Lluís; Bizopoulos, Paschalis; Bunduc, Oana; Gutiérrez Torre, Alberto (Multidisciplinary Digital Publishing Institute, 2022-08-31)
    Article
    Open Access
    Finding new ways to cost-effectively facilitate population screening and improve cancer diagnoses at an early stage supported by data-driven AI models provides unprecedented opportunities to reduce cancer related mortality. ...
  • A BF16 FMA is all you need for DNN training 

    Osorio Ríos, John Haiber; Armejach Sanosa, Adrià; Petit, Eric; Henry, Greg; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2022-07-01)
    Article
    Open Access
    Fused Multiply-Add (FMA) functional units constitute a fundamental hardware component to train Deep Neural Networks (DNNs). Its silicon area grows quadratically with the mantissa bit count of the computer number format, ...

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