Details
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
Expertise
- Education
- HPC
- Coding and code optimization
- Parallel programming
- GPU Accelerators
- Machine learning
Instructor Certification
- Machine Learning Using oneAPI
- oneAPI DPC++ Essentials
- OpenMP* Offload Basics