CUDA

CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).

Prerequisites

• NVIDIA GPU device
• NVIDIA Driver

If you are unsure if your device is CUDA capable, feel free to contact staff@umiacs.umd.edu

Getting Started

1. Load the CUDA Environmental variables via GNU Modules
   • Multiple versions are available. See the modules documentation and module list cuda for more information.

    module load cuda

2. Obtain a copy of the cuda samples:

   rsync -a /opt/common/cuda/$CUDA Version/samples/ ~/cuda_samples

3. Build and run the device query

    cd ~/cuda_samples/1_Utilities/deviceQuery/ && make && ./deviceQuery

Assuming the deviceQuery complication completed without error, you should now see output listing the details of the GPUs in your system. If desired you can compile additional samples by switching to their respective directory and running 'make'