GPU Programming
About this course
This specialization is intended for data scientists and software developers to create software that uses commonly available hardware. Students will be introduced to CUDA and libraries that allow for performing numerous computations in parallel and rapidly. Applications for these skills are machine learning, image/audio signal processing, and data processing.
75/100
CourseAsk score
- What the provider tells you
- 24/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understanding of CUDA programming
- ability to implement parallel computations
- skills in using libraries for GPU applications
- knowledge of applications in machine learning and signal processing
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