PRACE Course: Deep Learning and GPU Programming Workshop @ CSC 2022
OVERVIEW
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-organised by CSC, IT4Innovations, LRZ and NVIDIA Deep Learning Institute (DLI) for the Partnership for Advanced Computing in Europe (PRACE). CSC, IT4Innovations and LRZ as part of GCS are all PRACE Training Centres 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.
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.
TRAINING SETUP
To get started, follow these steps:
- Create an NVIDIA Developer account at http://courses.nvidia.com/join Select "Log in with my NVIDIA Account" and then '"Create Account".
- Make sure that WebSockets works for you:
- Test your Laptop at http://websocketstest.com
- Under ENVIRONMENT, confirm that '"WebSockets" is checked yes.
- Under WEBSOCKETS (PORT 80]. confirm that "Data Receive", "Send", and "Echo Test" are checked yes.
- lf there are issues with WebSockets, try updating your browser.
We recommend Chrome, Firefox, or Safari for an optimal performance. - Visit http://courses.nvidia.com/dli-event and enter the event code provided by the instructor.
- You're ready to get started. Please complete the survey at the end of the course to share your feedback.
To be able to visualise Nsight System profiler output during the course, please install Nsight System latest version on your local system before the course. The software can be downloaded from https://developer.nvidia.com/nsight-systems.
1st day Fundamentals of Accelerated Computing with OpenACC
Lecturer: Dr. Volker Weinberg (LRZ)
AGENDA (all times in EEST)
10:00-10:15 Welcome & Intro
10:15-12:00 Profiling
12:00-13:00 Lunch Break
13:00-14:20 OpenACC Directives
14:20-14:30 Coffee Break
14:30-15:45 GPU Programming and Data Management
15:45-16:00 Q&A, Final Remarks
SLIDES
DOCUMENTATION
2nd day: Fundamentals of Accelerated Computing with CUDA C/C++
Lecturer: Dr. Momme Allalen (LRZ)
AGENDA (all times in EEST)
10:00-10:15 Introduction CUDA C/C++
10:15-12:00 Accelerating Applications with CUDA C/C++
12:00-13:00 Lunch Break
13:00-14:20 Managing Accelerated Application Memory with CUDA unified memory and nsys
14:20-14:30 Coffee Break
14:30-15:45 Asynchronous Streaming and Visual Profiling for Accelerated Applications with CUDA C/C++
15:45-16:00 Q&A, Final Remarks
SLIDES
DOCUMENTATION
3rd day: Fundamentals of Deep Learning
Lecturer: Georg Zitzlsberger (IT4Innovations)
AGENDA (all times in EEST)
10:00-10:20 Welcome and Intro
10:20-12:00 Introduction to Deep Learning and Convolutional Neural Networks
12:00-13:00 Lunch Break
13:00-14:20 Data Augmentation, Deployment and Pre-Trained Models
14:20-14:30 Coffee Break
14:30-15:45 Advanced Architectures
15:45-16:00 Q&A
SLIDES
- Fundamentals_of_Deep_Learning_1.pdf
- Fundamentals_of_Deep_Learning_2.pdf
- Fundamentals_of_Deep_Learning_3.pdf
- Fundamentals_of_Deep_Learning_4.pdf
- Fundamentals_of_Deep_Learning_5.pdf
- Fundamentals_of_Deep_Learning_6.pdf
DOCUMENTATION
4th day: Fundamentals of Deep Learning for Multi-GPUs
Lecturer: PD Dr. Juan Durillo Barrionuevo (LRZ)
AGENDA (all times in EEST)
10:00-10:15 Intro
10:15-12:00 Stochastic Gradient Descent
12:00-13:00 Lunch Break
13:00-14:20 Introduction to Distributed Training
14:20-14:30 Coffee Break
14:30-15:45 Algorithmic Challenges of Distributed SGD
15:45-16:00 Q&A
SLIDES
- Fundamentals_of_deep_learning_for_multiple_gpus.pdf
- Introduction_Neural_Networks_Operations_And_Distributed_Training.pdf
- dli-wrapup-csc-2022-v1.pdf
-
PRACE Survey
- Please fill out the PRACE online survey under https://tinyurl.com/dli-survey-lrz by Friday, 27 May 2022!.
- This helps us and PRACE to
- increase the quality of the courses,
- design the future training programme at CSC, LRZ, IT4Innovations and in Europe according to your needs and wishes,
- get future funding for training events.
NEXT STEPS
Visit the NVIDIA Deep Learning lnstitute's website at https://www.nvidia.com/en-us/training/ to access more training and resources.
- Start online, self-paced training in deep learning and accelerated computing (using the account you created today).
- View upcoming workshops around the world and request an onsite workshop at your company or organization.
- Learn about the University Ambassador Program.
