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Introduction to Parallel Programming with CUDA

By External Provider

Price

Free

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Level

INTERMEDIATE

Duration

30 h

About this course

This course will help prepare students for developing code that can process large amounts of data in parallel on Graphics Processing Units (GPUs). It will learn on how to implement software that can solve complex problems with the leading consumer to enterprise-grade GPUs available using Nvidia CUDA. They will focus on the hardware and software capabilities, including the use of 100s to 1000s of threads and various forms of memory.

What you will learn

  • S​tudents will learn how to utilize the CUDA framework to write C/C++ software that runs on CPUs and Nvidia GPUs.
  • S​tudents will transform sequential CPU algorithms and programs into CUDA kernels that execute 100s to 1000s of times simultaneously on GPU hardware.