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Introduction to Parallel Programming with CUDA

This course is part of GPU Programming Specialization

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  • Reviews ( 27 )
Free

This Course Includes

  • iconcoursera
  • icon0 (27 reviews )
  • icon21 hours (approximately)
  • iconenglish
  • iconOnline - Self Paced
  • iconcourse
  • iconJohns Hopkins University

About Introduction to Parallel Programming with CUDA

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

What You Will Learn?

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