About this Course

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Course 2 of 4 in the
Intermediate Level

S​ome experience in C/C++ programming

Approx. 22 hours to complete
English

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.

Skills you will gain

  • Cuda
  • Algorithms
  • C/C++
  • GPU
  • Nvidia
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Course 2 of 4 in the
Intermediate Level

S​ome experience in C/C++ programming

Approx. 22 hours to complete
English

Offered by

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Johns Hopkins University

Syllabus - What you will learn from this course

Week
1
Week 1
4 hours to complete

Course Overview

4 hours to complete
3 videos (Total 11 min), 4 readings, 1 quiz
Week
2
Week 2
5 hours to complete

Threads, Blocks and Grids

5 hours to complete
8 videos (Total 50 min), 1 reading, 4 quizzes
Week
3
Week 3
5 hours to complete

Host and Global Memory

5 hours to complete
8 videos (Total 23 min)
Week
4
Week 4
4 hours to complete

Shared and Constant Memory

4 hours to complete
6 videos (Total 22 min)

About the GPU Programming Specialization

GPU Programming

Frequently Asked Questions

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