Recent Submissions

  • CloudSkin: ML-based smart management for the cloud-edge continuum 

    Liu, Peini; Nestorov, Anna Maria; Palacín Marfil, Marc; Nou Castell, Ramon; Guitart Fernández, Jordi; Berral García, Josep Lluís (2024)
    Conference report
    Open Access
    The CloudSkin project embraces ML-based autonomous management technologies, introducing the Learning Plane (LP), which provides services and methods to embed intelligence in Cloud-Edge Continuum management layers. By ...
  • Analyzing distinct neural network models for oxygen saturation prediction towards a personalized COPD management 

    Pascual Saldaña, Heribert; Masip Bruin, Xavier; Alonso Beltran, Albert; Blanco Vich, Isabel (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference lecture
    Open Access
    Chronic Respiratory Diseases (CRDs), including Chronic Obstructive Pulmonary Disease (COPD), pose significant global health challenges. Long-term oxygen therapy (LTOT) has been widely adopted to improve respiratory function ...
  • Detecting contextual network anomalies with graph neural networks 

    Latif Martínez, Hamid; Suárez-Varela Maciá, José Rafael; Cabellos Aparicio, Alberto; Barlet Ros, Pere (Association for Computing Machinery (ACM), 2023)
    Conference report
    Open Access
    Detecting anomalies on network traffic is a complex task due to the massive amount of traffic flows in today’s networks, as well as the highly-dynamic nature of traffic over time. In this paper, we propose the use of Graph ...
  • On the relation between open project-based learning in undergraduate computer science education and contemporary technological trends 

    Tous Liesa, Rubén; Freitag, Fèlix; Berral García, Josep Lluís (SciTePress, 2024)
    Conference report
    Open Access
    Amidst rapid and constant technological change, keeping IT higher education curricula up to date is becoming increasingly challenging. For a decade, the course”Project on Information Technologies” within the undergraduate ...
  • Memento: an adaptive, compiler-assisted register file cache for GPUs 

    Abaie Shoushtary, Mojtaba; Arnau Montañés, José María; Tubella Murgadas, Jordi; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Modern GPUs require an enormous register file (RF) to store the context of thousands of active threads. It consumes considerable energy and contains multiple large banks to provide enough throughput. Thus, a RF caching ...
  • QUETZAL: Vector acceleration framework for modern genome sequence analysis algorithms 

    Pavón Rivera, Julián; Vargas Valdivieso, Ivan; Rojas Morales, Carlos; Hernández Calderón, César Alejandro; Aslan, Mehmet; Figueras Bagué, Roger; Yuan, Yichao; Lindegger, Joël; Alser, Mohammed; Moll Echeto, Francisco de Borja; Marco Sola, Santiago; Ergin, Oguz; Talati, Nishil; Mutlu, Onur; Unsal, Osman Sabri; Valero Cortés, Mateo; Cristal Kestelman, Adrián (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Genome sequence analysis is fundamental to medical breakthroughs such as developing vaccines, enabling genome editing, and facilitating personalized medicine. The exponentially expanding sequencing datasets and complexity ...
  • Hypervisor extension for a RISC-V processor 

    Gauchola Vilardell, Jaume; Costa Prats, Juan José; Morancho Llena, Enrique; Canal Corretger, Ramon; Carril Gil, Xavier; Doblas Font, Max; Otero Calviño, Beatriz; Pajuelo González, Manuel Alejandro; Rodríguez Luna, Eva; Salamero Sanz, Javier; Verdú Mulà, Javier (2023)
    Conference lecture
    Open Access
    This paper describes our experience implementing a Hypervisor extension for a 64-bit RISC-V processor. We describe the design process and the main required parts with a brief explanation of each one.
  • AI-powered personalised learning platforms for EFL learning: preliminary results 

    Folgieri, Raffaella; Gil, Marisa; Bait, Miriam; Lucchiari, Claudio (SciTePress, 2024)
    Conference report
    Open Access
    Artificial intelligence (AI) has been increasingly integrated into the field of education, including personalised learning platforms. However, concerns have been raised about the potential of AI to replace human teachers ...
  • Enabling high-level parallel programming on multi-FPGA clusters 

    Haro Ruiz, Juan Miguel de; Álvarez Martínez, Carlos; Jiménez González, Daniel; Martorell Bofill, Xavier (Association for Computing Machinery (ACM), 2024)
    Conference report
    Open Access
    Field Programmable Gate Arrays (FPGA) are still relatively new in the High Performance Computing (HPC) field. Hence, they still lack a mature ecosystem that allows non-FPGA experts to scale an application with many devices ...
  • Principios para el diseño de una educación motivadora 

    López Álvarez, David (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2024)
    Conference report
    Open Access
    Nuestro alumnado está en pleno proceso de maduración personal y mental en el que debemos ayudar, ya que es nuestro deber como profesorado y modelo. Para ello hay que incidir en ayudar a cada estudiante en la creación de ...
  • Dimensiones a considerar para diseñar las actividades de aprendizaje 

    Llorens Largo, Faraón; Sánchez Carracedo, Fermín; López Álvarez, David; Badía Contelles, José Manuel; Marco Galindo, María Jesús (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2024)
    Conference lecture
    Open Access
    En este trabajo se propone un nuevo marco de referencia para el análisis y diseño de actividades de aprendizaje. Planteamos considerar las actividades de aprendizaje teniendo en cuenta tres dimensiones: la dimensión espacial ...
  • Extending the OCATA digital twin for optical connections based on digital subcarrier multiplexing 

    Devigili, Mariano; Sequeira, Diogo Gonçalo; Ruiz Ramírez, Marc; Costa, Nelson; Castro, Carlos; Napoli, Antonio; Pedro, João; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Time-domain digital twin models for single carrier and DSCM signals are developed that propagate features to estimate the impact of filter penalties on the BER. Results show remarkable accuracy, which is used for lightpath ...

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