Workshop: Use of Student HPC Platform – GPU Cluster

Use of Student HPC Platform – GPU Cluster 

Date: 27 Sep

Time: 14:30 - 17:00

Target Audience: All Students

Medium of Instruction: English

Pre-requisite: Basic Linux knowledge and programming skills

What you will learn

• Leverage Student HPC Platform – GPU Cluster to run, test and develop the application with GPU support for research purpose.
• Understand to execute Machine Learning and Deep Learning Python application with Singularity by using pre-built NVIDIA NGC TensorFlow docker image.
• Develop Python application with GPU support with interactive and GUI-based Jupyter notebook.
• Understand to execute Machine Learning Python application under Anaconda virtual environment.
  
  
  

Course outline

1. Introduction of Student HPC platform – GPU Cluster
2. Account Application
3. Resources available
4. Core operations
5. Introduction of Anaconda
6. Introduction of Singularity
7. Practical examples for the use of Student HPC Platform – GPU Cluster
   1. Development with Python with interactive GUI interface: Jupyter notebook
   2. Machine Learning:
      1. Running TensorFlow with Singularity
      2. Running TensorFlow under Anaconda
   3. Deep Learning: Running TensorFlow with Singularity