About this Course

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Course 3 of 4 in the
Intermediate Level

S​ome experience in C/C++ programming

Approx. 29 hours to complete
English

What you will learn

  • S​tudents will learn to develop software that can be run in computational environments that include multiple CPUs and GPUs.

  • S​tudents will develop software that uses CUDA to create interactive GPU computational processing kernels for handling asynchronous data.

  • Students will use CUDA, hardware memory capabilities, and algorithms/libraries to solve programming challenges including image processing.

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.
Course 3 of 4 in the
Intermediate Level

S​ome experience in C/C++ programming

Approx. 29 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), 1 reading, 1 quiz
Week
2

Week 2

10 hours to complete

Multiple CPU/GPU Systems

10 hours to complete
7 videos (Total 32 min)
Week
3

Week 3

4 hours to complete

CUDA Events and Streams

4 hours to complete
5 videos (Total 28 min), 2 readings, 1 quiz
Week
4

Week 4

5 hours to complete

Sorting Using GPUs

5 hours to complete
11 videos (Total 57 min), 1 reading, 1 quiz

About the GPU Programming Specialization

GPU Programming

Frequently Asked Questions

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