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https://github.com/voltr0x/raytracing-cuda
Raytracing in a weekend using CUDA
https://github.com/voltr0x/raytracing-cuda
cpp11 cuda raytracing sdl2
Last synced: 24 days ago
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Raytracing in a weekend using CUDA
- Host: GitHub
- URL: https://github.com/voltr0x/raytracing-cuda
- Owner: voltr0x
- Created: 2024-03-16T03:59:31.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-03-16T05:26:49.000Z (11 months ago)
- Last Synced: 2024-10-19T20:14:40.983Z (4 months ago)
- Topics: cpp11, cuda, raytracing, sdl2
- Language: C
- Homepage:
- Size: 7.51 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Raytracing using CUDA
This project implements a simple ray tracing renderer using CUDA (Compute Unified Device Architecture), a parallel computing platform and programming model developed by NVIDIA. It utilizes the GPU for accelerating the rendering process, allowing for real-time rendering of complex scenes.## Overview
The ray tracing algorithm simulates the behavior of light rays in a scene, allowing for realistic rendering of reflections, refractions, shadows, and other optical effects. This implementation follows the tutorial Raytracing in weekend using CUDA by Roger Allen and QuantitativeBytes, providing a practical example of GPU-accelerated ray tracing.## Features
- CUDA Acceleration: Utilizes the power of NVIDIA GPUs for parallel computation, significantly speeding up rendering times.
- Sphere Rendering: Demonstrates rendering of spheres with different materials, including Lambertian, metal, and dielectric materials.
- Multiple Samples per Pixel: Implements multiple samples per pixel to reduce aliasing and improve the visual quality of the rendered image.
- SDL Integration: Renders the final image using SDL (Simple DirectMedia Layer), allowing for real-time visualization of the rendered scene in a window.## Requirements
- Ensure you have an NVIDIA GPU with CUDA support.
- Install the necessary dependencies, including CUDA Toolkit and SDL library.