Recent Submissions

  • Enabling system wide shared memory for performance improvement in PyCOMPSs applications 

    Foyer, Clément; Conejero Bañón, Francisco Javier; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria; Tate, Adrian; McIntosh-Smith, Simon (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Python has been gaining some traction for years in the world of scientific applications. However, the high-level abstraction it provides may not allow the developer to use the machines to their peak performance. To address ...
  • Article community risk factors in the COVID-19 incidence and mortality in Catalonia (Spain). A population-based study 

    Zaldo-Aubanell, Quim; Campillo López, Ferran; Bach, Albert; Serra, Isabel; Olivet-Vila, Joan; Saez, Marc; Pino González, David; Maneja, Roser (2021-04-04)
    Article
    Open Access
    The heterogenous distribution of both COVID-19 incidence and mortality in Catalonia (Spain) during the firsts moths of the pandemic suggests that differences in baseline risk factors across regions might play a relevant ...
  • Characterizing the impact of last-level cache replacement policies on big-data workloads 

    Jamet, Alexandre Valentin; Álvarez Martí, Lluc; Jiménez, Daniel A.; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    The vast disparity between Last Level Cache (LLC) and memory latencies has motivated the need for efficient cache management policies. The computer architecture literature abounds with work on LLC replacement policy. ...
  • 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, ...
  • Comparative analysis of geolocation information through mobile-devices under different COVID-19 mobility restriction patterns in Spain 

    Pérez Arnal, Raquel; Conesa Ortega, David; Álvarez Napagao, Sergio; Suzumura, Toyotaro; Català Sabaté, Martí; Álvarez Lacalle, Enrique; Garcia Gasulla, Dario (Multidisciplinary Digital Publishing Institute (MDPI), 2021-02-13)
    Article
    Open Access
    The COVID-19 pandemic is changing the world in unprecedented and unpredictable ways. Human mobility, being the greatest facilitator for the spread of the virus, is at the epicenter of this change. In order to study mobility ...
  • A genetic attack against machine learning classifiers to steal biometric actigraphy profiles from health related sensor data 

    Garcia Ceja, Enrique; Morin, Brice; Aguilar Rivera, Anton; Riegler, Michael Alexander (Springer, 2020)
    Article
    Open Access
    In this work, we propose the use of a genetic-algorithm-based attack against machine learning classifiers with the aim of ‘stealing’ users’ biometric actigraphy profiles from health related sensor data. The target ...
  • 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 ...
  • Drug2ways: Reasoning over causal paths in biological networks for drug discovery 

    Rivas Barragan, Daniel; Mubeen, Sarah; Guim Bernat, Francesc; Hofmann Apitius, Martin; Domingo Fernández, Daniel (2020-12-02)
    Article
    Open Access
    Elucidating the causal mechanisms responsible for disease can reveal potential therapeutic targets for pharmacological intervention and, accordingly, guide drug repositioning and discovery. In essence, the topology of a ...
  • Cost-aware prediction of uncorrected DRAM errors in the field 

    Boixaderas Coderch, Isaac; Živanovič, Darko; Moré Codina, Sergi; Bartolomé Rodríguez, Javier; Vicente Dorca, David; Casas Guix, Marc; Carpenter, Paul Matthew; Radojkovic, Petar; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    This paper presents and evaluates a method to predict DRAM uncorrected errors, a leading cause of hardware failures in large-scale HPC clusters. The method uses a random forest classifier, which was trained and evaluated ...
  • Improving predication efficiency through compaction/restoration of SIMD instructions 

    Barredo Ferreira, Adrián; Cebrián González, Juan Manuel; Moreto Planas, Miquel; Casas Guix, Marc; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Vector processors offer a wide range of unexplored opportunities to improve performance and energy efficiency. However, despite its potential, vector code generation and execution have significant challenges, the most ...
  • Evaluating mixed-precision arithmetic for 3D generative adversarial networks to simulate high energy physics detectors 

    Osorio Ríos, John Haiber; Armejach Sanosa, Adrià; Khattak, Gulrukh; Petit, Eric; Vallecorsa, Sofia; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Several hardware companies are proposing native Brain Float 16-bit (BF16) support for neural network training. The usage of Mixed Precision (MP) arithmetic with floating-point 32-bit (FP32) and 16-bit half-precision aims ...
  • A simulation assessment of shockwave detection and damping algorithms based on magnetometers and probe vehicle data 

    Garriga Porqueras, Albert; Linares Herreros, María Paz; Casanovas Garcia, Josep (Elsevier, 2021)
    Article
    Open Access
    Nowadays, connected cars are uncommon on our streets, but their percentage is expected to grow uninterruptedly. These devices would provide a lot of data in real-time that can be used for road operators to improve the ...

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