DennisM6, please read the multitude of posts in regards to it being up to the scientists to decide if they want to support GPU's and not WCG. Also, it would be wise to do a little more research on the topic because it isn't a simple process and not all science can be ran on the GPU's. Even if the science supports GPU's, the programming is much different and would require someone familiar with either CUDA, CAL, or OpenCL in most cases (and there are a few lesser known ones out there) in order to even get to that point.

When adding CUDA acceleration to existing applications, the relevant Visual Studio project files must be updated to include CUDA build customizations. For Visual Studio 2010 or 2012, this can be done using one of the following two methods:

1.Open the Visual Studio 2010 or 2012 project, right click on the project name, and select Build Customizations..., then select the CUDA Toolkit version you would like to target.

2.Alternatively, you can configure your project always to build with the most recently installed version of the CUDA Toolkit. First add a CUDA build customization to your project as above. Then, right click on the project name and select Properties. Under CUDA C/C++, select Common, and set the CUDA Toolkit Custom Dir field to $(CUDA_PATH) . Note that the $(CUDA_PATH) environment variable is set by the installer...

CUDA Toolkit: http://docs.nvidia.com/cuda/cuda-getting-star...rosoft-windows/index.html

oscark,

Please do not forget about on which platform most of the applications are developped. It is not the Windows but Ubuntu Linux.

If you are the one of Windows only cruncher, please be patiant by thinking about Linux crunchers. Please....

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Sorry, corrected a typo.