GPU Programming
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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.
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
Skills you'll gain
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