NVIDIA GPUS offer huge acceleration capabilities, and are used today in a wide range of scientific disciplines. More than 2,000 applications are accelerated on NVIDIA GPUs, and more are being added each day. This event is aimed at researchers and developers interested in harnessing the power of GPUs. In a morning lecture, we'll discuss the four ways you can use a GPU. For a developer focus, we'll go through GPU programming languages, optimized GPU-accelerated libraries, and performance portable programming models. And for the application end-user, we'll show how to access GPU-optimized, pre-compiled containers for some of the most popular scientific applications.