Introduction to GPU computing with CUDA

Introduction to GPU computing with CUDA

Self-driving cars, machine learning and augmented reality are some of the examples of modern applications that involve parallel computing. 

With the availability of high performance GPUs and a language, such as CUDA, which greatly simplifies programming, everyone can have at home and easily use a supercomputer. 

The aim of this course is to provide the basics of the architecture of a graphics card and allow a first approach to CUDA programming by developing simple examples with a growing degree of difficulty.

What does coalescence mean? What is Halo region? And shared memory? Learn the basics of Parallel Computing with CUDA.

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What you will learn

• Understanding the basics of parallel programming on GPU.
• Understanding the basics of GPU architecture.
• Writing simple programs in CUDA language.

Rating: 3.85

Level: Beginner Level

Duration: 2 hours

Instructor: Orange Owl