Mathematikgebäude, Rechnerpool (M944)

This introductory compact course will be a hands-on tutorial on how to access the tremendous compute capabilities of modern Graphics Processing Units (GPUs) to accelerate scientific and especially numerical codes. The compact course adresses the general hardware- and programming models which serve as the foundation of using GPUs as floating point arithmetic accelerators especially using NVIDIA's Compute Unified Device Abstraction (CUDA) and provides practical insight into first steps as well as basic and some advanced techniques to port numerical code to GPUs and optimise it for this powerful hardware architecture.

Raphael Münster, Amir Safi

Fakultät für Mathematik, TU Dortmund