CUDA study 1. Intro
These pages tagged with #CUDA summarizes my study of the book “CUDA Parallel Programming”. This page explains what CUDA is and why I want to study it.
What is CUDA?
CUDA (or Compute Unified Device Architecture) is a proprietary and closed source parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for general purpose processing, an approach called general-purpose computing on GPUs (GPGPU, General Purpose Graphics Processing Unit).
Advantages of CUDA
The advantages of CUDA are as follows:
- High computational processing power
- Scalability of parallel programs
- Affordable price
- Convenient installation
Why CUDA?
As a student majoring in computer graphics, I think this is an essential environment to learn and use. In particular, I realized the importance of parallel programming when working on personal projects such as rendering engine and physics engine development, and started this project to realize it.