https://github.com/pwalig/rasterizer
Parallel software rasterizer in written C++
https://github.com/pwalig/rasterizer
3d-graphics c-plus-plus cplusplus cpp multithreading rasterization rasterizer rendering software-rasterization-renderer software-rasterizer
Last synced: 4 months ago
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Parallel software rasterizer in written C++
- Host: GitHub
- URL: https://github.com/pwalig/rasterizer
- Owner: pwalig
- Created: 2025-05-05T19:07:26.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-06-29T11:12:07.000Z (7 months ago)
- Last Synced: 2025-06-29T12:25:36.588Z (7 months ago)
- Topics: 3d-graphics, c-plus-plus, cplusplus, cpp, multithreading, rasterization, rasterizer, rendering, software-rasterization-renderer, software-rasterizer
- Language: C++
- Homepage:
- Size: 220 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
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README
# rasterizer
Parallel software rasterizer written in C++.
# Performance
Above scene (~35k triangles) renders in 60fps at 1920 x 1080 resolution on AMD Ryzen 5 3600 CPU.
# Features
* rendering with or without depth buffer
* drawing with or without index buffer
* programmable shaders (at compile time with C++ templates)
* multithreaded (each thread renders one vertical slice of the image)
* ability to specify viewport dimensions and offset (to render to only part of the image)
* loading meshes and textures
* sutherland-hodgman and front triangle clipping
* configurable alpha blending
* configurable depth test
* deffered rendering is possible and accelerated with specialized method for screen quad rendering
* rendering to screen or texture
# Building
## Clone the repository
```
git clone https://github.com/pwalig/rasterizer.git
cd rasterizer
```
## Dependencies
### SDL and Rapidjson
```
git submodule init
git submodule update --depth 1
```
### STB and GLM
Project depends on:
* [glm](https://github.com/g-truc/glm) - for math.
* [stb](https://github.com/nothings/stb) - for image loading.
Download both libraries and set envirionment variables `GLM_PATH` and `STB_PATH` to point to downloaded / cloned source code.
## Build
### CMake
Project can be built with [CMake](https://cmake.org).
Run the following.
```
mkdir build
cmake -S . -B build
cmake --build build
```
to get release build with MSVC on Windows use:
```
cmake --build build --config Release
```
### Visual Studio 2022
Project can be built with [Visual Studio](https://visualstudio.microsoft.com/).
Just open rasterizer.sln and run.
Tested only on Visual Studio 2022 other versions might not work.