DiRAC Training Academy

Mashy Green

+3

In collaboration with NVIDIA and UCL, DiRAC is proud to introduce a new self-paced training course: ‘Many Ways to GPU’.  Designed for researchers with some programming experience on HPC, this course offers a comprehensive introduction to GPU programming and provides the practical skills needed to transition research workflows from CPU-based to GPU-accelerated computing.    By the end of the course, you will be able to:  Understand what a GPU is and how it differs from a CPU  Use NVIDIA’s powerful profiling tool, Nsight Systems  Write basic C++ or Fortran programs using standard syntax  Integrate OpenACC directives into C/C++ or Fortran code  Apply OpenMP directives within C/C++ or Fortran code  Develop CUDA kernels for use in C/C++ or Fortran applications    The course includes:  Interactive Jupyter notebooks featuring worked examples and hands-on exercises to build your confidence  Built-in self-assessments to help you track your progress and reinforce key learning outcomes  We hope this carefully designed course enhances your research and accelerates your journey into GPU development options.