Fundamentals of Accelerated Computing with CUDA C/C++


Miguel Á. Martínez-del-Amor, PhD

NVIDIA DLI ambassador
Research Group on Natural Computing
Department of Computer Science and Artificial Intelligence
University of Seville

"Fundamentals of Accelerated Computing with CUDA C/C++" is a Workshop of the NVIDIA Deep Learning Institute. Miguel A. Martínez-del-Amor, as NVIDIA DLI ambassador, will teach this one-day workshop.

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. Experience C/C++ application acceleration by:

  • Accelerating CPU-only applications to run their latent parallelism on GPUs
  • Utilizing essential CUDA memory management techniques to optimize accelerated applications
  • Exposing accelerated application potential for concurrency and exploiting it with CUDA streams
  • Leveraging command line and visual profiling to guide and check your work

Upon completion, you’ll be able to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications fast.

An official certification from the NVIDIA DLI will be issued after completing the assessment.


  • Date: Wednesday, May 22nd, 2019
  • Time: 9:30-18:00.
  • Place (NEW): Room H1.12, E.T.S. Ingeniería Informática, Universidad de Sevilla
  • Language: Spanish
  • Registration is closed (maximum forum reached). You can show your interest for the next edition, and hence remain in the wait list, here
  • Course website (information and registration): English, Spanish

Organized by:
NVIDIA Deep Learning Institute
Research Group on Natural Computing
Instituto de Matemáticas Universidad de Sevilla Antonio de Castro Brzezicki