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Workshop Objective: The workshop is intended to introduce accelerated computing and AI-ML on the GPUs. GPU computing will also be introduced. The latest GPU and CPU architectures and the best methods to program them will be presented. AI-ML will be introduced and ease of doing AI-ML with the help of containers will also be discussed. On the second day of the workshop people will get a chance to work on the GPUs in hands-on sessions for both the performance coding and the AI-ML.


Morning (2.5 to 3 Hrs) (Speaker : Prathu)

  1. Introduction to GPU Compute.
  2. N-ways to do accelerated Computing.
  3. Latest GPU architecture A100, H100 and Grace.
  4. Programming considerations and Cuda features.

Afternoon (2.5 to 3 Hrs) (Speaker : Amit)

  1. Introduction of AI/ML through GPUs and why GPUs are critical for AI/ML
  2. NVIDIA AI stacks’ introduction for both Deep Learning and classical Machine-learning:
    1. Data preprocessing.
    2. Model training.
    3. Model Inferencing.
    4. Model deployment and MLOPS cycle.

Day 2:

  • Working with NGC containers.
  • Hands-on session for Accelerated computing.
  • Hands-on session for AI-ML

Last Date of Registration: 26th Oct 2022