Difference between revisions of "A GPU capable BOINC project"
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If you want to know if your GPU is capable of doing these calculations, you can check various lists available on the internet. But just simple rule of thumb is:<br> | If you want to know if your GPU is capable of doing these calculations, you can check various lists available on the internet. But just simple rule of thumb is:<br> | ||
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- AMD/ATI GPU: Radeon HD 4000 and higher have OpenCL capability, but better to use is HD 5000 and above. <br> | - AMD/ATI GPU: Radeon HD 4000 and higher have OpenCL capability, but better to use is HD 5000 and above. <br> | ||
- Nvidia: to use CUDA, you need at least a Geforce 8800. All Nvidia GPUs are OpenCL capable (*).<br> | - Nvidia: to use CUDA, you need at least a Geforce 8800. All Nvidia GPUs are OpenCL capable (*).<br> | ||
Revision as of 15:19, 4 February 2017
To check if a BOINC project is capable of using your GPU, you can check the list of BOINC projects, via the BOINC web site or via the Join Projects wizard.
If you want to know if your GPU is capable of doing these calculations, you can check various lists available on the internet. But just simple rule of thumb is:
- AMD/ATI GPU: Radeon HD 4000 and higher have OpenCL capability, but better to use is HD 5000 and above.
- Nvidia: to use CUDA, you need at least a Geforce 8800. All Nvidia GPUs are OpenCL capable (*).
- Intel: the minimum requirement is a 3rd generation Intel iCore CPU with HD Graphics. (**) For a list see here
(*) Because OpenCL is in a way a direct competitor to Nvidia's CUDA, Nvidia decided at one time to develop only CUDA and no longer add the newest OpenCL to their GPUs. Therefore it is possible you have a top-of-the-range latest model Nvidia GPU with just OpenCL 1.2 capability, while OpenCL is already in version 3 or 4.
