Recent Submissions

  • PH-RLS: A parallel hybrid recursive least square algorithm for self-mixing interferometric laser sensor 

    Khan, Zohaib A.; Hussain, Tassadaq; Zabit, Usman; Usman, Muhammad; Ayguadé Parra, Eduard (2021-03-17)
    Article
    Open Access
    The authors present the parallel-hybrid recursive least square (PH-RLS) algorithm for an accurate self-mixing interferometric laser vibration sensor coupled with an accelerometer under industrial conditions. Previously, ...
  • DRMaestro: orchestrating disaggregated resources on virtualized data-centers 

    Carneiro do Amaral, Marcelo; Polo Bardés, Jorda; Carrera Pérez, David; González, Nelson; Yang, Chih-Chieh; Morari, Alessandro; D'Amora, Bruce; Youssef, Alaa; Steinder, Malgorzata (Springer, 2021-03-06)
    Article
    Open Access
    Modern applications demand resources at an unprecedented level. In this sense, data-centers are required to scale efficiently to cope with such demand. Resource disaggregation has the potential to improve resource-efficiency ...
  • Implementation of a high-accuracy phase unwrapping algorithm using parallel-hybrid programming approach for displacement sensing using self-mixing interferometry 

    Hussain, Tassadaq; Amin, Saqib; Zabit, Usman; Ayguadé Parra, Eduard (2021-02-08)
    Article
    Restricted access - publisher's policy
    Phase unwrapping is an integral part of multiple algorithms with diverse applications. Detailed phase unwrapping is also necessary for achieving high-accuracy metric sensing using laser feedback-based self-mixing interferometry ...
  • Accelerated execution via eager-release of dependencies in task-based workflows 

    Elshazly, Hatem Mohamed Abdelfattah Eid; Lordan Gomis, Francesc; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria (Sage, 2021-03-03)
    Article
    Open Access
    Task-based programming models offer a flexible way to express the unstructured parallelism patterns of nowadays complex applications. This expressive capability is required to achieve maximum possible performance for ...
  • Thermal infrared video stabilization for aerial monitoring of active wildfires 

    Verstockt, Steven; Jiménez González, Daniel; Rios Rubiras, Oriol; Queen, Lloyd; Pastor Ferrer, Elsa; Planas Cuchi, Eulàlia (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Article
    Restricted access - publisher's policy
    Measuring wildland fire behaviour is essential forfire science and fire management. Aerial thermal infrared (TIR)imaging provides outstanding opportunities to acquire suchinformation remotely. Variables ...
  • DDF Library: Enabling functional programming in a task-based model 

    Ponce, Lucas M.; Lezzi, Daniele; Badia Sala, Rosa Maria; Guedes, Dorgival (Elsevier, 2021-02)
    Article
    Restricted access - publisher's policy
    In recent years, the areas of High-Performance Computing (HPC) and massive data processing (also know as Big Data) have been in a convergence course, since they tend to be deployed on similar hardware. HPC systems have ...
  • You only run once: Spark auto-tuning from a single run 

    Buchaca Prats, David; Albuquerque Portella, Felipe; Costa, Carlos H. A.; Berral García, Josep Lluís (2020-12)
    Article
    Open Access
    Tuning configurations of Spark jobs is not a trivial task. State-of-the-art auto-tuning systems are based on iteratively running workloads with different configurations. During the optimization process, the relevant features ...
  • Open project-based learning for dynamic adaptability of IT education 

    Tous Liesa, Rubén; Freitag, Fèlix (2020-12-20)
    Article
    Open Access
    The pace of technological change is accelerating, the duration of the trends is becoming shorter and the number of technological alternatives to solve IT problems grows quickly. Keeping IT higher education course curricula ...
  • Compressed sparse FM-index: Fast sequence alignment using large K-steps 

    Langarita Benítez, Rubén; Armejach Sanosa, Adrià; Setoain, Javier; Ibáñez Marín, Pablo Enrique; Alastruey Benedé, Jesús; Moreto Planas, Miquel (2020-06-05)
    Article
    Open Access
    The FM-index is a data structure used in genomics for exact search of input sequences over large reference genomes. Algorithms based on the FM-index show an irregular memory access pattern, resulting in a memory bound ...
  • Deep neural networks for earthquake detection and source region estimation in north-central Venezuela 

    Tous Liesa, Rubén; Alvarado Bermúdez, Leonardo; Otero Calviño, Beatriz; Cruz de la Cruz, Stalin Leonel; Rojas Ulacio, Otilio (2020-10-01)
    Article
    Open Access
    Reliable earthquake detection algorithms are necessary to properly analyze and catalog the continuously growing seismic records. We report the results of applying a deep convolutional neural network, called UPC‐UCV ...
  • Work-efficient parallel non-maximum suppression kernels 

    Oro García, David; Fernandez Tena, Carles; Martorell Bofill, Xavier; Hernando Pericás, Francisco Javier (Wiley Heyden, 2020-08-21)
    Article
    Restricted access - publisher's policy
    In the context of object detection, sliding-window classifiers and single-shot convolutional neural network (CNN) meta-architectures typically yield multiple overlapping candidate windows with similar high scores around ...
  • GMAI: Understanding and exploiting the internals of GPU resource allocation in critical systems 

    Calderón Torres, Alejandro Josué; Kosmidis, Leonidas; Nicolás Ramírez, Carlos Fernando; Cazorla Almeida, Francisco Javier; Onaindia, Peio (2020-09)
    Article
    Open Access
    Critical real-time systems require strict resource provisioning in terms of memory and timing. The constant need for higher performance in these systems has led industry to recently include GPUs. However, GPU software ...

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