In this article, I will introduce the reader to CUDA 5.0. I will briefly talk about the architecture of the Kepler GPU (Graphics Processing Unit) and I will show you how you can take advantage of the many CUDA (Compute Unified Device Architecture) cores in the GPU to create massively parallel programs.
In this article I will demonstrate how to implement a basic lighting model using the Cg shader language. If you are unfamiliar with using Cg in your own applications, then please refer to my previous article titled Introduction to Shader Programming with Cg 3.1.
This article is an updated version of the previous article titled Transformation and Lighting in Cg. In this article, I will not use any deprecated features of OpenGL. I will only use the core OpenGL 3.1 API.
In this article I will introduce the reader to shader programming using the Cg shader programming language. I will use OpenGL graphics API to communicate with the Cg shaders. This article does not explain how use OpenGL. If you require an introduction to OpenGL, you can follow my previous article titled Introduction to OpenGL.
In this post, I will analyze the CUDA implementation of the N-Body simulation. The implementation that I will be using as a reference for this article is provided with the CUDA GPU Computing SDK 4.0. The source code for this implementation is available in the “C\src\nbody” in the GPU Computing SDK 4.0 base folder.
I assume the reader has a good understanding of the CUDA programming API.
In a previous article, I gave an introduction to programming with CUDA. Now I’d like to go into a little bit more depth about the CUDA thread execution model and the architecture of a CUDA enabled GPU. I assume that the reader has basic knowledge about CUDA and already knows how to setup a project that uses the CUDA runtime API. If you don’t know how to setup a project with CUDA, you can refer to my previous article: Introduction to CUDA.
In this article, I will give a brief introduction to using NVIDIA’s CUDA programming API to perform General Purpose Graphics Processing Unit Programming (or just GPGPU Programming). I will also show how to setup a project in Visual Studio that uses the CUDA runtime API to create a simple CUDA program.