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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

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# 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.