https://github.com/ogrecave/ogre-gpgpu

GPGPU compute with Ogre using CUDA or OpenCL
https://github.com/ogrecave/ogre-gpgpu

cuda gpgpu-computing ogre3d opencl

Last synced: 8 months ago
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GPGPU compute with Ogre using CUDA or OpenCL

• Host: GitHub
• URL: https://github.com/ogrecave/ogre-gpgpu
• Owner: OGRECave
• Created: 2020-01-05T15:35:01.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-01-06T17:35:17.000Z (over 6 years ago)
• Last Synced: 2025-07-25T09:58:33.496Z (9 months ago)
• Topics: cuda, gpgpu-computing, ogre3d, opencl
• Language: C++
• Homepage: http://www.visual-experiments.com/demos/
• Size: 3.76 MB
• Stars: 12
• Watchers: 3
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# General Purpose GPU Computing with Ogre

The purpose of this libray is to abstract DirectX & OpenGL interop with Cuda and OpenCL. It means that you can use `Ogre::Texture` and `Ogre::HardwareVertexBuffer` without having to bother which `Ogre::RenderSystem` is active (DX9, DX10 or GL).

[![Demo

video](https://img.youtube.com/vi/0KkB38CB3vY/0.jpg)](https://www.youtube.com/watch?v=0KkB38CB3vY)

There are "Property Sheets" (.vsprops) in almost all project.

So you need to adapt theirs "User Macros" path to your needs.

Before running any project you need to launch "prepare bin folder" (needs OGRE_HOME to be defined in the Ogre.vsprops)

It will copy dll from ogre folder to the corresponding binary folder.