In this article I will attempt to explain the concept of Quaternions in an easy to understand way. I will explain how you might visualize a Quaternion as well as explain the different operations that can be applied to quaternions. I will also compare applications of matrices, euler angles, and quaternions and try to explain when you would want to use quaterions instead of Euler angles or matrices and when you would not.
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 article, I will explain how to use the ARB_vertex_buffer_object extension to efficiently render geometry in OpenGL.
If you are not sure how to use extensions in OpenGL, you can refer to my previous article titled OpenGL Extensions. If you have never programmed an OpenGL application before, you can refer to my previous article titled Introduction to OpenGL.
In this article I will talk about OpenGL extensions. Every extension is defined by an extension specification. I will explain how to read the extension specification so that you will know how to use the extensions. I will also show how you can check for the existence of extensions and how to initialize extensions in your own source code. I will show how you can use GLEW to query and use extensions with very little extra effort.
I assume the reader is familiar with the C++ programming language. If you want to know how to start programming in OpenGL, refer to my previous article titled Introduction to OpenGL.
In this article, I will demonstrate how to apply 2D textures to your 3D models. I will also show how to define lights in your scene that are used to illuminate the objects in your scene.
I assume that the reader has a basic knowledge of C++ and how to create and compile C++ programs. If you have never created an OpenGL program, then I suggest that you read my previous article titled “Introduction to OpenGL” here before continuing with this article.
In this article, I will examine multiple methods for rendering primitives in OpenGL. The first method I will look at is using immediate-mode rendering to render simple primitives in 3D. Another method of rending primitives in OpenGL uses vertex arrays. And finally I will also examine the use of display lists to generate a set of render calls that can be executed at another point in time. The reader is expected to have a basic understanding of programming techniques in C++. If you want to know how you can get started with OpenGL, you can refer to 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 this article I will provide a brief introduction to OpenCL. OpenCL is a open standard for general purpose parallel programming across CPUs, GPUs, and other programmable parallel devices. I assume that the reader is familiar with the C/C++ programming languages. I will use Microsoft Visual Studio 2008 to show how you can setup a project that is compiled with the OpenCL API.
In this article I will discuss a few of the best practices items as described in the “CUDA C Best Practices Guide”. This guide mentions about 40 best practices over more than 70 pages of documentation. This might be a bit more information than the average casual programmer will care to understand. In this article, I want to focus on what I feel are the most important best practices that will result in a direct performance increase to your CUDA application. If you are not familiar with CUDA yet, you may want to refer to my previous articles titled Introduction to CUDA, CUDA Thread Execution, and CUDA memory.