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  • The MAMe dataset: On the relevance of high resolution and variable shape image properties 

    Parés Pont, Ferran; Arias Duart, Anna; Garcia Gasulla, Dario; Campo Francés, Gema; Viladrich Iglesias, Nina; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Springer, 2022-08)
    Article
    Open Access
    The mostcommon approach in image classification tasks is to resize all images in the dataset to a unique shape, while reducing their resolution to a size that makes experimentation at scale easier. This practice has benefits ...

  • Can we trust undervolting in FPGA-based deep learning designs at harsh conditions? 

    Koc, Fahrettin; Salami, Behzad; Ergin, Oguz; Unsal, Osman Sabri; Cristal Kestelman, Adrián (2022-05)
    Article
    Open Access
    As more Neural Networks on Field Programmable Gate Arrays (FPGAs) are used in a wider context, the importance of power efficiency increases. However, the focus on power should never compromise application accuracy. One ...

  • 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
    Open Access
    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 ...

  • 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 (2023-03)
    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 ...

  • A closer look at referring expressions for video object segmentation 

    Bellver Bueno, Míriam; Ventura Royo, Carles; Silberer, Carina; Kazakos, Ioannis; Torres Viñals, Jordi; Giró Nieto, Xavier (2023-01)
    Article
    Open Access
    The task of Language-guided Video Object Segmentation (LVOS) aims at generating binary masks for an object referred by a linguistic expression. When this expression unambiguously describes an object in the scene, it is ...

  • 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, 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, ...

  • TunaOil: A tuning algorithm strategy for reservoir simulation workloads 

    Albuquerque Portella, Felipe; Buchaca Prats, David; Rodrigues, José Roberto; Berral García, Josep Lluís (Elsevier, 2022-09)
    Article
    Open Access
    Reservoir simulations for petroleum fields and seismic imaging are known as the most demanding workloads for high-performance computing (HPC) in the oil and gas (O&G) industry. The optimization of the simulator numerical ...

  • Burst-aware predictive autoscaling for containerized microservices 

    Abdullah, Muhammad; Iqbal, Waheed; Berral García, Josep Lluís; Polo Bardés, Jorda; Carrera Pérez, David (2022-05-01)
    Article
    Open Access
    Autoscaling methods are used for cloud-hosted applications to dynamically scale the allocated resources for guaranteeing Quality-of-Service (QoS). The public-facing application serves dynamic workloads, which contain bursts ...

  • A holistic scalability strategy for time series databases following cascading polyglot persistence 

    García Calatrava, Carlos; Becerra Fontal, Yolanda; Cucchietti, Fernando (Multidisciplinary Digital Publishing Institute (MDPI), 2022-08-18)
    Article
    Open Access
    Time series databases aim to handle big amounts of data in a fast way, both when introducing new data to the system, and when retrieving it later on. However, depending on the scenario in which these databases participate, ...

  • A security model for randomization-based protected caches 

    Ribes González, Jordi; Farràs Ventura, Oriol; Hernández Luz, Carles; Kostalampros, Ioannis-Vatistas; Moretó Planas, Miquel (2022)
    Article
    Open Access
    Cache side-channel attacks allow adversaries to learn sensitive information about co-running processes by using only access latency measures and cache contention. This vulnerability has been shown to lead to several ...

  • Fine-grain task-parallel algorithms for matrix factorizations and inversion on many-threaded CPUs 

    Catalán Pallarés, Sandra; Herrero Zaragoza, José Ramón; Igual Peña, Francisco D.; Quintana Ortí, Enrique Salvador; Rodríguez Sánchez, Rafael (Wiley (John Wiley & Sons), 2023-12)
    Article
    Open Access
    We extend a two-level task partitioning previously applied to the inversion of dense matrices via Gauss–Jordan elimination to the more challenging QR factorization as well as the initial orthogonal reduction to band form ...

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