This document provides information about trainings, workshops, and seminars offered by KAUST IT Research Computing. Specifically, it describes the Parallèles Training Class which teaches best practices in high performance computing. The class covers scientific problems, discretization methods, programming, and running applications on supercomputers. It uses a 2D acoustic wave propagation problem solved with finite difference methods in the time domain as a demonstration.

1. DATASHEET
TRAININGS, WORKSHOPS, AND
SEMINARS
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Parallèles Training Class
The Parallèles Class is meant to share best practices in high performance
computing. It spans over the scientific computing architecture, from the scientific
problems, (usually as partial derivated equations), to discretization and
numerical method, to programming and finally to supercomputer. In its current
version, it is illustrated as a 2D acoustic wave propagation problem by finite
difference in the time domain.
Spanning over the Scientific Architecture
• Acoustic Wave Equation: focuses on the Physics and Mathematics aspects of the
problem to be solved.
• Discretization and Finite Difference: focuses on the Numerical methods.
• Programming: Several languages such as Fortran, C, Python, MATLAB and Julia are
introduced, and used to code the acoustic wave propagation as a 2D FDTD.
• Optimization: Vectorization and parallelization techniques such as OpenMP, MPI,
OpenACC will be introduced and demonstrated.
• Supercomputers: The code will run on systems such as MacBook Pro, Dell T7500, Noor
clusters with GPU/Intel Phi nodes.