Training

Appentra will present a 3-part Parallelware training series intended to help new and existing programmers understand best practices for GPU programming with OpenMP and OpenACC. Part one will include a presentation and example exercises to be completed using the Parallelware tools. Questions about these materials and the exercises will be answered during the office hours of Part two. Finally, Part three will showcase  the parallelization and performance study of the ZPIC (a particle-in-cell code) case study using Parallelware tools as a guide, focusing on GPU programming challenges that appear frequently in real scientific and engineering applications. Users can also bring their own codes to explore using Appentra tools for Part 3.  The list of topics is shown in the table below.

Part, Date & TimeTopic and Format

More information and registration: https://www.nersc.gov/users/training/events/parallelware-training-series-oct-nov-2020/ 

Appentra will present a 3-part Parallelware training series intended to help new and existing programmers understand best practices for GPU programming with OpenMP and OpenACC. Part one will include a presentation and example exercises to be completed using the Parallelware tools. Questions about these materials and the exercises will be answered during the office hours of Part two. Finally, Part three will showcase  the parallelization and performance study of the ZPIC (a particle-in-cell code) case study using Parallelware tools as a guide, focusing on GPU programming challenges that appear frequently in real scientific and engineering applications. Users can also bring their own codes to explore using Appentra tools for Part 3.  The list of topics is shown in the table below.

Part, Date & TimeTopic and Format

More information and registration: https://www.nersc.gov/users/training/events/parallelware-training-series-oct-nov-2020/