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https://github.com/favreau/Sol-R

Open-Source CUDA/OpenCL Speed Of Light Ray-tracer
https://github.com/favreau/Sol-R

3d 3d-graphics-engine cuda gpgpu gpu-acceleration gpu-computing graphics-engine interactive opencl path-tracing pathtracing ray-tracing raytracer raytracing raytracing-engine realtime-rendering rendering science virtual-reality vr

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Open-Source CUDA/OpenCL Speed Of Light Ray-tracer

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README 

        
[![Build Status](https://travis-ci.org/favreau/Sol-R.svg?branch=master)](https://travis-ci.org/favreau/Sol-R)



# Welcome to Sol-R, the Speed Of Light Ray-tracer



## Big news: Sol-R goes Quantum!



Sol-R becomes Quantum of Sol-R, thanks to the use of a Quantum Physics based random generation device. Unfortunately, the API to access the random number generator is not open-source but if you buy the [ID Quantique QRng](https://www.idquantique.com/random-number-generation/overview/) device, you will simply need to modify the *_getFloats* implementation of the [RandomGenerator](./solr/engines/random/RandomGenerator.h) class, and I can tell you that it's pretty straight forward! You will also need to add set the _SOLR_RANDOM_DEVICE_ENABLED_ cmake option to _ON_ before configuring the project.



![Sol-R_001](doc/images/Sol-R_001.png)



## Note about the Blue Brain BioExplorer, a Sol-R sequel



If you like Sol-R, but you think it's now getting a bit old, you will love my new open-source, the [Blue Brain BioExplorer](https://github.com/BlueBrain/BioExplorer). Check-it out and star the GitHub Repository to support the project.



## Introduction

Sol-R is a CUDA/OpenCL-based realtime ray-tracer compatible with Oculus Rift DK1, Kinect, Razor Hydra and Leap Motion devices.

Sol-R was used by the Interactive Molecular Visualizer project (http://www.molecular-visualization.com)



A number of videos can be found on my [Youtube channel](https://www.youtube.com/user/CyrilleOnDrums).



Sol-R was written as a hobby project in order to understand and learn more about CUDA and OpenCL. Most of the code was written at night and during week-ends, meaning that it's probably not the best quality ever ;-)



The idea was to produce a Ray-Tracer that has its own "personality". Most of the code does not rely on any literature about ray-tracing, but more on a naive approach of what rays could be used for. A simple engine that could produce cool images interactively.



Take it for what it is! Sol-R is a lot of fun to play with if you like coding computer generated images.



May the fun continue with your contributions! :)



```

usage: solrViewer

```



![Sol-R_002](doc/images/Sol-R_002.png)



## Prerequeries



### Mandatory

- CMake 3.5

- Glew 2.x

- Glut 3.7

- Cuda 8.0 or OpenCL 1.2



### Optional

- Kinect SDK 1.8

- Oculus Rift DK1 SDK 0.2.5

- Sixense SDK

- Leap SDK 3.2.0



## Build from source

```

mkdir Build

cd Build

cmake .. -DCMAKE_PREFIX_PATH=

make install

```

Note that the installation process with deploy extra files that are needed by the Sol-R viewer. Typically, textures, environment maps and OpenCL kernels. Therefore, it is required to run the solrViewer application from the installation folder.



## Run

```

/bin/solrViewer

```



### Selecting CUDA or OpenCL



By default, the OpenCL engine is selected but this can be changed by modifying the SOLR_ENGINE option, using either ccmake or the following cmake option:

```

cmake .. -DSOLR_ENGINE:STRING=CUDA

```



Optional dependencies can be activated using the following cmake options:

```

cmake .. -DSOLR_KINECT_ENABLED=ON -DSOLR_OCULUS_ENABLED=ON -DSOLR_SIXENSE_ENABLED -DSOLR_LEAPMOTION_ENABLED=ON

```



### Supported platforms



Sol-R has currently been tested on:

- Windows 7 with Visual Studio 2015 Community edition

- Mac OS X Sierra 10.12.15

- Ubuntu 20.04