Session 1:
Get Just-in-time, Latest & Unlimited GPU Computing Power with Azure HPC and GPU

Target Audience: Researchers & Developers in Research Department who interested in the HPC, Parallel Computing and GPU Computing Power
Speaker:

• Dr. Auda Eltahla, Research Engagement Manager, Microsoft Asia
• Dr. Andreas Wilm, Regional Cloud Solution Architect, Higher Education and Research in Microsoft Asia

Agenda:

• Research Success with Azure HPC and GPU
   o Case Study
   o How Azure Solution Can Help on HPC, Parallel Computing and on-demand GPU Computing Power
• Azure Solution Overview
   o Azure GPU VM
  • NVIDIA Tesla V100 GPUs
  • NVIDIA Tesla M60 GPU
    
    
• Azure Batch for Job Scheduling and Compute Management
• Azure CycleCloud for HPC
  • Support any scheduler (like Slurm, Grid Engine, HPC Pack, HTCondor, LSF, PBS Pro, or Symphony)
• Solution Demo

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Session 2:
Develop Strong, Fair & Explainable Machine Learning Model with Azure Machine Learning Services

Target Audience: All Researchers & Developers in Research Department who interested in Machine Learning
Speaker:

• Mr. Hugo To, Account Technology Strategist for Higher Education and Research in Microsoft Hong Kong

Agenda:

• Research Success with Azure Machine Learning Services
  o Case Study
  o How Azure Solution Can Help on Complete Machine Learning Lifecycle
• Azure Solution Overview
  o Azure Machine Learning Services Overview
  
  
  • Computing Power for Model Training
  • Model Interpretation
  • Fair Learn
  • Automated Machine Learning
• Solution Demo