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Advanced GPU Computing Workshop

· 2 min read
Workshop Instructor
Workshop Instructor
HPC Training Specialist

Take your HPC skills to the next level with our comprehensive GPU computing workshop. Learn how to leverage ASU's GPU resources for machine learning, scientific computing, and high-performance applications.

Workshop Overview​

Date: February 20, 2025
Time: 2:00 PM - 4:30 PM MST
Location: Virtual (Zoom)
Prerequisites: Basic HPC experience required

Topics Covered​

GPU Architecture and Programming​

  • Understanding GPU hardware and memory hierarchy
  • CUDA programming fundamentals
  • Memory management and optimization techniques

Machine Learning on GPUs​

  • Setting up ML frameworks (PyTorch, TensorFlow)
  • GPU-accelerated data processing
  • Model training and inference optimization

Scientific Computing Applications​

  • GPU-accelerated numerical libraries
  • Parallel algorithms for scientific computing
  • Performance profiling and optimization

Hands-on Exercises​

  • Interactive coding sessions
  • Real-world project examples
  • Performance benchmarking

Prerequisites​

  • Experience with HPC systems (Sol/Phoenix)
  • Basic programming knowledge (Python, C++, or similar)
  • Familiarity with command line interfaces
  • Previous attendance at HPC Introduction workshop recommended

What You'll Build​

During this workshop, you'll work on practical projects including:

  • GPU-accelerated matrix operations
  • Machine learning model training
  • Scientific simulation optimization
  • Performance profiling and analysis

Registration​

Cost: Free for ASU affiliates
Capacity: 25 participants
Deadline: February 15, 2025

Register Now

Preparation​

Before the workshop, please:

  1. Ensure you have access to ASU HPC systems
  2. Install required software (instructions will be provided)
  3. Review basic GPU computing concepts (optional reading list provided)

Contact​

For questions about this workshop, contact rc-help@asu.edu with "GPU Workshop" in the subject line.