GPU programming language CUDA

With Google's focus on machine learning, GPU programming has become an undeniable trend. Machine learning, cryptocurrency mining, self-driving cars, AI, chatbots, and big data analysis all utilize GPUs. CUDA is the GPU programming language.

Because it's a language derived from C and C++, it's easily accessible to any C or C++ developer. However, understanding the characteristics of GPU machines and CUDA programming is essential. This course will teach you how to understand GPU machines and write CUDA code to execute matrix multiplication, a fundamental operation in deep learning. Through this course, you'll become proficient in GPU programming.

What is a GPU?

A graphics card, which processes a computer's image information and displays it on the screen, is designed to assist the central processing unit's graphics processing tasks. GPUs are widely used in AI and machine learning fields because they can dramatically increase computational speed.

Helpful people

• Anyone interested in machine learning.
• AI startups

Introduction of knowledge sharers

Choi Gwang-seong

I've been immersed in programming since graduate school. After graduation, I stayed in the lab and worked on developing semiconductor factory prediction simulation software. My primary languages are C++ and CUDA.

I served as CTO at a startup called CCG. I developed SIMPLE, an interpreted language for GPUs. https://github.com/cks3443/simple