Updated installation instructions for optional MPI and GPU components.

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Craig Warren
2019-01-30 14:41:46 +00:00
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@@ -9,16 +9,15 @@ The most computationally intensive parts of gprMax, which are the FDTD solver lo
Extra installation steps for GPU usage
======================================
The following steps provide guidance on how to install the extra components to allow gprMax to run on your GPU:
1. Install the `NVIDIA CUDA Toolkit <https://developer.nvidia.com/cuda-toolkit>`_. You can follow the Installation Guides in the `NVIDIA CUDA Toolkit Documentation <http://docs.nvidia.com/cuda/index.html#installation-guides>`_
2. Install the pycuda Python module. Open a Terminal (Linux/macOS) or Command Prompt (Windows), navigate into the top-level gprMax directory, and if it is not already active, activate the gprMax conda environment :code:`source activate gprMax` (Linux/macOS) or :code:`activate gprMax` (Windows). Run :code:`pip install pycuda`
The following steps provide guidance on how to install the extra components to allow gprMax to run on your NVIDIA GPU:
1. Install the `NVIDIA CUDA Toolkit <https://developer.nvidia.com/cuda-toolkit>`_. You can follow the Installation Guides in the `NVIDIA CUDA Toolkit Documentation <http://docs.nvidia.com/cuda/index.html#installation-guides>`_ You must ensure the version of CUDA you install is compatible with the compiler you are using. This information can usually be found in a table in the CUDA Installation Guide under System Requirements. You should add the location of the CUDA compiler (:code:`nvcc`) to your user path.
2. Install the pycuda Python module. Open a Terminal (Linux/macOS) or Command Prompt (Windows), navigate into the top-level gprMax directory, and if it is not already active, activate the gprMax conda environment :code:`conda activate gprMax`. Run :code:`pip install pycuda`
Running gprMax using GPU(s)
===========================
Open a Terminal (Linux/macOS) or Command Prompt (Windows), navigate into the top-level gprMax directory, and if it is not already active, activate the gprMax conda environment :code:`source activate gprMax` (Linux/macOS) or :code:`activate gprMax` (Windows)
Open a Terminal (Linux/macOS) or Command Prompt (Windows), navigate into the top-level gprMax directory, and if it is not already active, activate the gprMax conda environment :code:`conda activate gprMax`
Run one of the test models: