In this talk, we are presenting a short introduction to CUDA and GPU computing to help anyone who reads it to get started with this technology.
At first, we are introducing the GPU from the hardware point of view: what is it? How is it built? Why use it for General Purposes (GPGPU)? How does it differ from the CPU?
The second part of the presentation is dealing with the software abstraction and the use of CUDA to implement parallel computing. The software architecture, the kernels and the different types of memories are tackled in this part.
Finally, and to illustrate what has been presented previously, examples of codes are given. These examples are also highlighting the issues that may occur while using parallel-computing.