Carlos García

Intel® Certified Instructor




Carlos García is an associate professor at the Complutense University of Madrid (UCM) with expertise in high-performance computing (HPC) for heterogeneous parallel architecture. His research interests include optimizing parallel computation on modern devices like multicore CPUs, GPUs, and FPGAs. He applies his expertise to a variety of fields, including physical computing, life sciences, image processing, AI, and engineering simulation.

Location: Spain


  • Education
  • HPC
  • Coding and code optimization
  • Parallel programming
  • GPU Accelerators
  • Machine learning

Instructor Certification

  • Machine Learning Using oneAPI
  • oneAPI DPC++ Essentials
  • OpenMP* Offload Basics