Now showing items 1-6 of 6

    • A cross-layer review of deep learning frameworks to ease their optimization and reuse 

      Tabani, Hamid; Pujol Torramorell, Roger; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      Machine learning and especially Deep Learning (DL) approaches are at the heart of many domains, from computer vision and speech processing to predicting trajectories in autonomous driving and data science. Those approaches ...
    • ADBench: benchmarking autonomous driving systems 

      Tabani, Hamid; Pujol Torramorell, Roger; Alcón Doganoc, Miguel; Moya Riera, Joan; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (2022)
      Article
      Open Access
      Driven by the improvements in a variety of domains, autonomous driving is becoming a reality and today, industry aims at moving toward fully autonomous vehicles. High-tech chip manufacturers are designing high-performance ...
    • Empirical evidence for MPSoCs in critical systems: The case of NXP’s T2080 cache coherence 

      Pujol Torramorell, Roger; Tabani, Hamid; Abella Ferrer, Jaume; Hassan, Mohamed; Cazorla Almeida, Francisco Javier (IEEE, 2021)
      Conference lecture
      Open Access
      The adoption of complex MPSoCs in critical real-time embedded systems mandates a detailed analysis their architecture to facilitate certification. This analysis is hindered by the lack of a thorough understanding of the ...
    • Generating and Exploiting Deep Learning Variants to Increase Utilization of the Heterogeneous Resources in Autonomous Driving Platforms 

      Pujol Torramorell, Roger (Universitat Politècnica de Catalunya, 2020-06-24)
      Master thesis
      Open Access
      Nowadays, Deep learning-based solutions and, in particular, deep neural networks (DNNs) are getting into several core functionalities in critical real-time embedded systems (CRTES), like those in planes, cars, and satellites, ...
    • Improved dense trajectories for gesture recognition 

      Pujol Torramorell, Roger (Universitat Politècnica de Catalunya, 2018-07)
      Bachelor thesis
      Open Access
      En aquest projecte tractarem d'aconseguir reconèixer un conjunt de gestos prèviament establerts en temps real utilitzant l'algoritme Improved Dense Trajectories.
    • 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 ...