Now showing items 1-10 of 10

    • BRASIL: A high-integrity GPGPU toolchain for automotive systems 

      Trompouki, Matina Maria; Kosmidis, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      Embedded General Purpose Graphics Processing Units (GPGPUs) are increasingly used in automotive to enable Advanced Driving Assistance (ADAS) and Autonomous driving. However, their functional safety certification has been ...
    • Brook GLES Pi: democratising accelerator programming 

      Trompouki, Matina Maria; Kosmidis, Leonidas (Association for Computing Machinery (ACM), 2018-08-10)
      Conference lecture
      Open Access
      Nowadays computing is heavily-based on accelerators, however, the cost of the hardware equipment prevents equal access to heterogeneous programming. In this work we present Brook GLES Pi, a port of the accelerator programming ...
    • Comparison of GPU computing methodologies for safety-critical systems: an avionics case study 

      Benito Bermúdez, Marc; Trompouki, Matina Maria; Kosmidis, Leonidas; García Martín, David; Carretero Jiménez, Sergio; Wenger, Ken (IEEE, 2021)
      Conference report
      Open Access
      Introducing advanced functionalities in safety-critical systems requires using more powerful architectures such as GPUs. However software in safety-critical industries is subject to functional certification, which cannot ...
    • DO-178C certification of general-purpose GPU software: review of existing methods and future directions 

      Trompouki, Matina Maria; Kosmidis, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Open Access
      —General-Purpose GPU software is considered for use in avionics to satisfy the increased computational requirements of future systems. Therefore, it needs to be certified following the DO-178C guidance as all airborne ...
    • Evaluating the computational capabilities of embedded multicore and GPU platforms for on-board image processing 

      Rodríguez Ferrández, Iván; Kosmidis, Leonidas; Trompouki, Matina Maria; Steenari, David; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Conference report
      Open Access
      On-board Image Processing is one of the most computationally intensive tasks performed in space payload processing. With the constant increase in the resolution of optical sensors, new powerful architectures are needed for ...
    • Evaluation of SYCL’s suitability for high-performance critical systems 

      Peralta Quesada, Cristina; Trompouki, Matina Maria; Kosmidis, Leonidas (Association for Computing Machinery (ACM), 2023)
      Conference report
      Open Access
      Upcoming safety critical systems require high performance processing, which can be provided by multi-cores and embedded GPUs found in several Systems-on-chip (SoC) targeting these domains. So far, only low-level programming ...
    • Evaluation of the multicore performance capabilities of the next generation flight computers 

      Solé i Bonet, Marc; Wolf, Jannis; Rodríguez Ferrández, Iván; Jover Álvarez, Álvaro; Trompouki, Matina Maria; Kosmidis, Leonidas; Steenari, David (2023)
      Conference report
      Open Access
      Multicore architectures are currently under adoption in the aerospace domain, however their software remains single-threaded. In this paper we argue about the benefits offered by homogeneous parallel processing, both in ...
    • METASAT: Modular model-based design and testing for applications in satellites 

      Kosmidis, Leonidas; Calderón, Alejandro J.; Álvarez Suárez, Aridane; Sinisi, Stefano; Jover Álvarez, Álvaro; Rodríguez Ferrández, Iván; Solé i Bonet, Marc; Trompouki, Matina Maria; Wolf, Jannis (Springer, 2023)
      Conference report
      Open Access
      The space domain, as many other sectors, is actively considering novel methods and tools based on artificial intelligence, digital twins, virtual design and testing, and other Industry 4.0 concepts, in order to manage the ...
    • The METASAT hardware platform: A high-performance multicore, AI SIMD and GPU RISC-V platform for on-board processing 

      Kosmidis, Leonidas; Solé i Bonet, Marc; Rodríguez Ferrández, Iván; Wolf, Jannis; Trompouki, Matina Maria (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Conference report
      Open Access
      The METASAT Horizon Europe project which is funded by the European Commission and started in January 2023, will enable model-based design methodologies in order to manage the complexity of upcoming hardware and software ...
    • Worst case execution time and power estimation of multicore and GPU software: a pedestrian detection use case 

      Rodríguez Ferrández, Iván; Jover Álvarez, Álvaro; Trompouki, Matina Maria; Kosmidis, Leonidas; Cazorla Almeida, Francisco Javier (Association for Computing Machinery (ACM), 2023)
      Conference lecture
      Open Access
      Worst Case Execution Time estimation of software running on parallel platforms is a challenging task, due to resource interference of other tasks and the complexity of the underlying CPU and GPU hardware architectures. ...