Daniel Hernández

Daniel Hernández

GPU Optimization - Ph.D. Student

Personal website

Daniel Hernández

I am a PhD student under the supervision of Dr. Juan Carlos Moure andDr. David Vázquez, at the Computer Architecture and Operating Systems(UAB department) in Barcelona. Additionally, I collaborate as a teaching assistant. I am also an active member of the High Performance Computing Applications for Science and Engineering (HPCA4SE) and Advanced Driver Assistance Systems (ADAS), where I do all my research. The topic of my thesis is Performance engineering on embedding vision for autonomous driving. My focus is to implement (and adapt to GPU devices) state-of-the-art computer vision algorithms efficiently. To this end, I am immerse in the study of parallel optimizations for GPUs.

My research interest include:

  • HPC: Parallel Computing, CUDA, GPGPU and Real-time Algorithms.
  • Computer Vision: Stereo Estimation, Stixel World and 3D Reconstruction.
  • Robotics: Autonomous Driving.
  • Embedeed: Low-energy embedeed GPU systems.

Currently, I am working on the implementation of an efficient GPU version of Semi-global matching for achieving accurate and real-time stereo estimation algorithm.