GPU-accelerated computing uses a graphics processing unit (GPU) to accelerate computations in computer programs. Several applications in the BioGrids programs tree are GPU-accelerated. Here's what you need to take advantage of a GPU:
Requirements for GPU (CUDA) applications
To use GPU-accelerated applications, you will need an NVIDIA GPU. We don't currently support other co-processors (Xeon Phi, AMD). If you think we should, let us know at firstname.lastname@example.org .
Not all GPUs are created equal - some applications are restricted to GPUs with a certain 'Compute Capability (i.e. of 3.5 or greater)'. You can check your card's rating and find more information on GPU computing here : https://developer.nvidia.com/cuda-gpus
We currently support applications that rely on versions of CUDA 5 to 8 and these libraries are included with the BioGrids distribution. For best results, it is important to have a recent driver version if possible.
GPU questions? Want to use GPU support in an application and it's not working? Please email email@example.com