nir Posted November 26, 2018 Share Posted November 26, 2018 A graphics processing unit (GPU) is a processor like CPU and TPU for faster graphics processing. Specifically, it designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer to be displayed on a screen. The parallel structure of a GPU makes it more efficient for algorithms where several components can be executed in parallel such as Machine Learning algorithms/ inference. In this article, we have explored some of the basic architecture concepts in Graphics Processing Unit (GPU). Graphics Pipeline This image summaries the graphics pipeline in a GPU: You need to understand the following ideas: Vector processing Primitive Processing Rasterization Fragment processing Pixel operations Vector processing Each vector is transformed in screen space and processed independently. Primitive Processing The vertices are organized into primitives that are clipped. Rasterization Primitives are rasterized into “pixel fragments”. Each primitive is rasterized independently. Fragment processing Fragments are shaded to compute a color at each pixel. Each fragment is processed independently. Pixel operations Fragments are blended into the frame buffer at their pixel locations (z-buffer determines visibility). There are five pipeline entities: Vertices Primitives Fragments Shaded fragments Pixels Graphics architectures In this section, we will take a look at how the Graphics pipeline is implemented and how the independent nature of the operations are maintained. This image demonstrates the architecture of NVIDIA GeForce 8800 developed in 2006: The above architecture uses the concept of unified shading which is a significant improvement over the basic CPU architecture and is one of the secrets of GPU's speed. Shader programming model Shader programming model follows the following ideas: Fragments are processed independently but there is no explicit parallel programming Independent logical sequence of control per fragment. Source Link to comment Share on other sites More sharing options...
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