Academic Feature

The achievements of Machine Learning have been made possible by the incredible power of GPUs (Graphics Processing Units) which were originally designed for generating graphics but are now used for a variety of applications in High Performance Computing, including Machine Learning. This course introduces students to NVIDIA’s CUDA programming language which is an extension of C/C++. Through a combination of lectures and practicals students will learn how to write codes to execute on GPUs, how to assess the performance of those codes, and how to optimise the performance by understanding the movement of data within the GPU. Example applications include Monte Carlo simulation and the solution of finite difference PDE approximations.