intermediate

Introduction to CUDA Kernel Programming

Learn CUDA from the ground up by managing GPU memory, launching 1D and 2D kernels, optimizing with shared memory, and building practical image-processing pipelines for graphics-oriented parallel computing.

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Verified skills you'll gain

INTERMEDIATE

GPU Architecture and Memory Hierarchy

INTERMEDIATE

GPU Programming Models and Frameworks

Tools you'll use

CUDA

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Course 2

2D Grids and Matrix Math

3 lessons

15 practices

Master 2D thread indexing in CUDA by mapping multidimensional grids to linear memory. You will implement row-major indexing, build a naive matrix multiplication kernel, and apply 2D grid-stride loops. These skills allow you to process large, rectangular datasets efficiently while ensuring your kernels remain scalable and flexible across various GPU architectures.

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Course 3

Shared Memory Optimization

4 lessons

22 practices

In this course, you will tackle global memory latency by harnessing the power of fast, on-chip shared memory. You will learn to synchronize threads using shared memory, implement a boundary-safe tiled matrix multiplication algorithm, and empirically compare it against a naive implementation using validated benchmarks.

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Course 4

Image Processing with CUDA

3 lessons

16 practices

Apply your CUDA skills to image buffers by processing pixels on the GPU. You will map RGB data to threads, handle boundary conditions, and build a pipeline chaining grayscale conversion and Sobel edge detection. Finally, you will validate and export results, mastering real-world GPU image manipulation.

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From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11