GPU Programming Specialization

Solve Challenges with Powerful GPUs. Develop mastery in high performance computing and apply to numerous fields.

Instructor: Chancellor Thomas Pascale

What you'll learn

  •   Develop CUDA software for running massive computations on commonly available hardware
  •   Utilize libraries that bring well-known algorithms to software without need to redevelop existing capabilities

    • Skills you'll gain

  •   Numerical Analysis
  •   Image Analysis
  •   Linear Algebra
  •   Distributed Computing
  •   Deep Learning
  •   Software Development
  •   Computer Hardware
  •   Computer Architecture
  •   Artificial Neural Networks
  •   Performance Testing
  •   C and C++
  •   Performance Tuning

    • Specialization - 4 course series

    Learners will complete at least 2 projects that allow them the freedom to explore CUDA-based solutions to image/signal processing, as well as a topic of choosing, which can come from their current or future professional career. They will also create short demonstrations of their efforts and share their code.

    Introduction to Parallel Programming with CUDA

    CUDA at Scale for the Enterprise

    CUDA Advanced Libraries

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