Annotation
You learn the basics of OpenACC, a high-level programming language for programming on GPUs. Discover how to accelerate the performance of your applications beyond the limits of CPU-only programming with simple pragmas. You will learn:
- How to profile and optimize your CPU-only applications to identify hot spots for acceleration
- How to use OpenACC directives to GPU accelerate your codebase
- How to optimize data movement between the CPU and GPU accelerator
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.
This training is a part of NVIDIA AI & HPC ACADEMY 2020.
The workshop is co-organized by LRZ, IT4Innovations and NVIDIA Deep Learning Institute (DLI) for the Partnership for Advanced Computing in Europe (PRACE). Both IT4Innovations and LRZ, as part of GCS, are PRACE Training Centres, 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.
Level
Beginner
Language
English
Purpose of the course
Upon completion, you will be able to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. You will understand an iterative style of CUDA development that will allow you to ship accelerated applications fast.
About the tutor
Dr. Volker Weinberg studied physics at the Ludwig Maximilian University of Munich and later worked at the research centre DESY. He received his PhD from the Free University of Berlin for his studies in the field of lattice QCD. Since 2008 he is working in the HPC group at the Leibniz Supercomputing Centre and is education and training coordinator at LRZ. Volker is an NVIDIA Deep Learning Institute (DLI) certified OpenACC instructor participating in the University Ambassador program. Within PRACE, the Partnership for Advanced Computing in Europe, he is leading the workpackage WP5 "HPC Commissioning and Prototyping".
NVIDIA Deep Learning Institute
The NVIDIA Deep Learning Institute delivers hands-on training for developers, data scientists, and engineers. The program is designed to help you get started with training, optimizing, and deploying neural networks to solve real-world problems across diverse industries such as self-driving cars, healthcare, online services, and robotics.
Acknowledgement
This event was partially supported by The Ministry of Education, Youth and Sports from the Large Infrastructures for Research, Experimental Development and Innovations project "e-Infrastruktura CZ – LM2018140“ and partially by the PRACE-6IP project - the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 823767. We would like to also thank Bayncore Labs for their contributions to this event.
