Going Parallel (part II)

Going parallel is crucial to speed up your gain and to use the full power of HPC center. In this session, we will start by presenting the share memory model (OpenMP) and then move on parralelism with GPU (CUDA and OpenACC)

Contents:

• Parallel programming with OpenMP
• Directive Based Parallel programming on GPU (OpenACC)
• Parallel programming on GPU with CUDA

Prerequisite:

• Being able to use SSH with private keys 
• Being familiar with a text editor 
• Mastering the Linux command line and the GNU utilities (mkdir, cp, scp, etc.)
• Passive knowledge of C

Type: Hands-on
Target audience: Rookie programmer
Must: This session is a must-have for anyone that want to move to GPU or use parralelism with shared memory