Now showing items 1-7 of 7

  • A novel register renaming technique for out-of-order processors 

    Tabani, Hamid; Arnau Montañés, José María; Tubella Murgadas, Jordi; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Restricted access - publisher's policy
    Modern superscalar processors support a large number of in-flight instructions, which requires sizeable register files. Conventional register renaming techniques allocate a new storage location, i.e. physical register, for ...
  • An ultra low-power hardware accelerator for acoustic scoring in speech recognition 

    Tabani, Hamid; Arnau Montañés, José María; Tubella Murgadas, Jordi; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Restricted access - publisher's policy
    Accurate, real-time Automatic Speech Recognition (ASR) comes at a high energy cost, so accuracy has often to be sacrificed in order to fit the strict power constraints of mobile systems. However, accuracy is extremely ...
  • Assessing the Adherence of an Industrial Autonomous Driving Framework to ISO 26262 Software Guidelines 

    Tabani, Hamid; Kosmidis, Leonidas; Abella, Jaume; Cazorla, Francisco J.; Bernat, Guillem (Association for Computing Machinery (ACM), 2019-06-06)
    Conference lecture
    Open Access
    The complexity and size of Autonomous Driving (AD) software are comparably higher than that of software implementing other (standard) functionalities in the car. To make things worse, a big fraction of AD software is not ...
  • Generating and Exploiting Deep Learning Variants to Increase Heterogeneous Resource Utilization in the NVIDIA Xavier 

    Pujol, Roger; Tabani, Hamid; Kosmidis, Leonidas; Mezzetti, Enrico; Abella, Jaume; Cazorla, Francisco J. (2019)
    Conference lecture
    Open Access
    Deep learning-based solutions and, in particular, deep neural networks (DNNs) are at the heart of several functionalities in critical-real time embedded systems (CRTES) from vision-based perception (object detection and ...
  • Low-power architectures for automatic speech recognition 

    Tabani, Hamid (Universitat Politècnica de Catalunya, 2018-02-21)
    Doctoral thesis
    Open Access
    Automatic Speech Recognition (ASR) is one of the most important applications in the area of cognitive computing. Fast and accurate ASR is emerging as a key application for mobile and wearable devices. These devices, such ...
  • Performance analysis and optimization of automatic speech recognition 

    Tabani, Hamid; Arnau Montañés, José María; Tubella Murgadas, Jordi; González Colás, Antonio María (2018-10-01)
    Article
    Open Access
    Fast and accurate Automatic Speech Recognition (ASR) is emerging as a key application for mobile devices. Delivering ASR on such devices is challenging due to the compute-intensive nature of the problem and the power ...
  • Safety-Related Challenges and Opportunities for GPUs in the Automotive Domain 

    Alcaide, Sergi; Kosmidis, Leonidas; Tabani, Hamid; Hernandez, Carles; Abella, Jaume; Cazorla, Francisco J. (IEEE, 2018-10-09)
    Article
    Open Access
    GPUs have been shown to cover the computing performance needs of autonomous driving (AD) systems. However, since the GPUs used for AD build on designs for the mainstream market, they may lack fundamental properties for ...