In this tutorial, you will be introduced to several classes that will help you to create a robust and flexible framework for building DirectX 12 applications. Some of the problems that are solved with the classes introduced in this lesson are managing CPU descriptors, copying CPU descriptors to GPU visible descriptor heaps, managing resource state across multiple threads, and uploading dynamic buffer data to the GPU. To automatically manage the state and descriptors for resources, a custom command list class is also provided.
This is the second lesson in a series of lessons to teach you how to create a DirectX 12 powered application from scratch. In this lesson, vertex and index data is uploaded to the Graphics Processing Unit (GPU) for rendering. Basic vertex and pixel shaders are described and how to create a Pipeline State Object (PSO) that utilizes those shaders is also described. A root signature defines the parameters that are used by the stages of the rendering pipeline. In this lesson a simple root signature is created that defines a single constant buffer that contains the Model-View-Projection (MVP) matrix that is used to rotate a model in the scene.
This is the first lesson in a series of lessons to teach you how to create a DirectX 12 application from scratch. In this lesson, you will learn how to query for DirectX 12 capable display adapters that are available, create a DirectX 12 device, create a swap-chain, and you will also learn how to present the swap chain back buffer to the screen. In this lesson, you will also create a command queue and a command list and learn how to synchronize the CPU and GPU operations in order to correctly implement N-buffered rendering.
Visual Studio 2017 introduces the ability to open CMake projects directly in the Visual Studio development environment without the need to generate any project files first. In this tutorial, you will create a simple project that uses CMake to define the project configuration. You will also create several build configurations for the application. You will also create launch configurations to determine how the application is executed for debugging the application.
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 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 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.