CUDA Basics and 1D Operations

Embedded Systems & Firmware

In this course, you will dive into the core mechanics of heterogeneous computing using C++ and CUDA. You will learn how to allocate GPU memory safely, transfer datasets correctly between the CPU and GPU, and configure block dimensions to execute and verify your first one-dimensional kernels.

CUDA

See path

4 lessons

22 practices

3 hours

GPU Programming Models and Frameworks

Course details

Device Memory Allocation

Preview

Safe CUDA Calls

Build the Memory Helper

Hunt the Memory Bug

Safe GPU Cleanup

Closing the Memory Loop

Triple Array Challenge

Next Course: 2D Grids and Matrix Math

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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