Learn how to accelerate your applications with OpenACC and CUDA, how to train and deploy a neural network to solve real-world problems, and how to effectively parallelize training of deep neural networks on Multi-GPUs.

The online workshop combines lectures about Accelerated Computing with OpenACC and CUDA with lectures about Fundamentals of Deep Learning for single and for Multi-GPUs.

The lectures are interleaved with many hands-on sessions using Jupyter Notebooks. The exercises will be done on a fully configured GPU-accelerated workstation in the cloud.

The workshop is co-organized by LRZ and NVIDIA Deep Learning Institute (DLI) for the Partnership for Advanced Computing in Europe (PRACE). LRZ as part of GCS is a PRACE Training Centre which serve as European hubs and key drivers of advanced high-quality training for researchers working in the computational sciences.

NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning.

All instructors are NVIDIA certified University Ambassadors.

Type of methodology: Combination of lecture and hands-on

Participants receive the certificate of attendance: Yes (on demand)

Paid training activity for participants: No, it's free of charge

Participants prerequisite knowledge: Technical background, basic understanding of machine learning concepts, basic C/C++ or Fortran programming skills