• Sistema avançat d'assistència a la conducció per a Jetson TK1 de NVIDIA 

      Bernadas Leal, Ignasi (Universitat Politècnica de Catalunya, 2016-07-12)
      Treball Final de Grau
      Accés obert
      This project explores the potential of the Jetson TK1 NVIDIA embedded system and, makes the adaptation of an existing advanced driver assistance software (ADAS). First of all, a software development environment has been ...
    • Tasking in accelerators: performance evaluation 

      Toledo, Leonel; Peña, Antonio J.; Catalán, Sandra; Valero-Lara, Pedro (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
      Accés obert
      In this work, we analyze the implications and results of implementing dynamic parallelism, concurrent kernels and CUDA Graphs to solve task-oriented problems. As a benchmark we propose three different methods for solving ...
    • The AMPERE Project: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimization 

      Quiñones, Eduardo; Royuela Alcázar, Sara; Scordino, Claudio; Gai, Paolo; Pinho, Luis Miguel; Nogueira, Luis; Rollo, Jan; Cuccinottta, Tommaso; Biondi, Alessandro; Hammam, Arne; Ziegenbein, Dirk; Saoud, Hadi; Forsberg, Björn; Benini, Luca; Mando, Gianluca; Rucher, Luigi (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
      Accés obert
      The high-performance requirements needed to implement the most advanced functionalities of current and future Cyber-Physical Systems (CPSs) are challenging the development processes of CPSs. On one side, CPSs rely on ...
    • Towards enhancing coding productivity for GPU programming using static graphs 

      Toledo, Leonel; Valero Lara, Pedro; Vetter, Jeffrey S.; Peña, Antonio (MDPI, 2022)
      Article
      Accés obert
      The main contribution of this work is to increase the coding productivity of GPU programming by using the concept of Static Graphs. GPU capabilities have been increasing significantly in terms of performance and memory ...