Nvidia Deep Learning Institute

 

Fundamentals of Accelerated Computing with CUDA C/C++

Course information and schedule

 

DURATION: 8 Hours | STRUCTURE: Instructor Lead Workshop |   PRE-REQUISITES: A bachelor’s or master’s degree in STEM

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  2. Fundamentals of Accelerated Computing with CUDA C/C++

 

What you will learn

Upon completion, you’ll be able to accelerate and optimise existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications fast.

 

Course Modules

 

  •   Accelerating CPU-only applications to run their latent parallelism on GPUs

  •  Utilising essential CUDA memory management techniques to optimise accelerated applications
  •  Exposing accelerated application potential for concurrency and exploiting it with CUDA streams

  •   Leveraging command line and visual profiling to guide and check your work

 

 

 

Who
should apply?

 

  •  Developers working in the machine learning domain
  •  Numerical and Scientific Computing Developers
  •  Freshers looking to build a career in programming

 

 

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