SMU SuperPOD 101

Course Outline

Topic	Description
Setup	Preparing for the course
1. Introduction to SMU SuperPOD
2. Working with Conda Environment	How to create personal conda environment in SuperPOD
3. Using NGC Container in SuperPOD	How to use NGC Container in SuperPOD?
4. Using Jupyter Lab in SuperPOD	How to use Jupter Lab in SuperPOD?
5. Using Batch script in SuperPOD	How to run Batch script in SuperPOD
6. Job queueing and control in SuperPOD	How to run control Job in SuperPOD
7. Data Science workflow with GPUs using RAPIDS	How to install and use RAPIDS
8. Sample Application of NEMO for Sentiment Analysis	How to use NEMO in container
9. Sample Applications of MultiGPUs for Computer Vision using Horovod	How to utilize MultiGPUs in SuperPOD
10. Using YOLOv5 for object detection	How to use train YOLOv5 to detect objects
11. Using Transfer Learning with ResNet50	How to use apply transfer learning to detect object
12. Using Stable Diffusion with SuperPOD	How to use Stable Diffusion model
13. Using Pre-trained model from HuggingFace	How to use pre-trained model already available from Hugging Face hub
Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.