Now showing items 1-4 of 4

  • An open benchmark implementation for multi-CPU multi-GPU pedestrian detection in automotive systems 

    Trompouki, Matina M.; Kosmidis, Leonidas; Navarro, Nacho (IEEE, 2017-12-14)
    Conference lecture
    Open Access
    Modern and future automotive systems incorporate several Advanced Driving Assistance Systems (ADAS). Those systems require significant performance that cannot be provided with traditional automotive processors and programming ...
  • Brook Auto: High-Level Certification-Friendly Programming for GPU-powered Automotive Systems 

    Trompouki, Matina M.; Kosmidis, Leonidas (Association for Computing Machinery (ACM), 2018)
    Conference lecture
    Open Access
    Modern automotive systems require increased performance to implement Advanced Driving Assistance Systems (ADAS). GPU-powered platforms are promising candidates for such computational tasks, however current low-level ...
  • Optimisation opportunities and evaluation for GPGPU applications on low-end mobile GPUs 

    Trompouki, Matina M.; Kosmidis, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2017-05-15)
    Conference lecture
    Open Access
    Previous works in the literature have shown the feasibility of general purpose computations for non-visual applications on low-end mobile graphics processors using graphics APIs. These works focused only on the functional ...
  • Towards general purpose computations on low-end mobile GPUs 

    Trompouki, Matina M.; Kosmidis, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2016-03)
    Conference report
    Open Access
    GPUs traditionally offer high computational capabilities, frequently higher than their CPU counterparts. While high-end mobile GPUs vendors introduced recently general purpose APIs, such as OpenCL, to leverage their ...