GPU rasterization is a technique used in computer graphics to efficiently convert vector graphics into raster graphics using the parallel processing power of a graphics processing unit (GPU). It is a crucial step in the rendering pipeline for real-time applications like video games, where high frame rates and low latency are essential.
The rasterization process involves converting the geometric information in a scene, such as the position and orientation of objects, into a two-dimensional image that is composed of numerous tiny pixels or squares. This rasterization process involves multiple steps, including clipping, projection, and scan conversion. Each of these steps can be performed in parallel, making it well-suited for GPU acceleration.
The first step in the rasterization process is clipping, which involves determining which parts of a 3D scene are visible within the viewing frustum, or the region of space that is visible to the viewer. This involves calculating the intersection of each object in the scene with the viewing frustum and discarding any parts of the object that are outside of it.
The next step is projection, which involves transforming the clipped 3D scene into a 2D environment or space. This involves applying a perspective projection matrix to each vertex in the scene, which determines how the scene will be flattened onto a 2D plane. This process also involves applying a viewport transformation, which maps the projected scene onto the screen. Just like the 3D cube we draw in maths class in school.
The final step in the rasterization process is scan conversion, which involves converting the projected scene into a raster image by filling in the pixels that make up the image. This involves determining which pixels are inside the shapes defined by the projected scene and which are outside. The pixels inside the shapes are then colored according to the color of the object or material, while the pixels outside are left blank or colored in with a background color and sometimes with matching shades.
Look at the below image, it is a Minecraft game visual, based on rasterization.
GPU rasterization involves offloading much of the processing involved in these steps to the GPU, which can perform many calculations in parallel. This is made possible by the architecture of modern GPUs, which contain thousands of processing cores that can work on different parts of the scene simultaneously. CPU will be weaker in the same role.
One of the key benefits of GPU rasterization is its speed.
By leveraging the power of the GPU, real-time applications like video games can render complex scenes at high frame rates, with minimal latency. This is essential for delivering a smooth and immersive experience to the player.
Another benefit of GPU rasterization is its flexibility.
GPUs can be programmed to perform a wide variety of rendering techniques, including shadows, reflections, and transparency. This allows game developers to create highly realistic and visually impressive scenes, without sacrificing performance.
However, GPU rasterization also has some limitations.
One of these is its dependence on fixed-function hardware, which can limit its flexibility in some cases. Another limitation is its reliance on raster graphics, which can lead to aliasing and other visual artifacts. To address these limitations, some game developers have begun exploring alternative rendering techniques, such as ray tracing and hybrid rendering.
In conclusion, GPU rasterization is a crucial technique in computer graphics that allows real-time applications like video games to efficiently convert vector graphics into raster graphics. By leveraging the parallel processing power of the GPU, it can render complex scenes at high frame rates, with minimal latency.
While it has some limitations, it remains an essential tool for creating visually impressive and immersive experiences in real-time applications.