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Added separate conda env for use with jupyter
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conda_environment.yml
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31
conda_environment.yml
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# Assumes that conda, pip, build-essentials and cuda are installed
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---
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name: ShallowWaterGPU
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channels:
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- conda-forge
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dependencies:
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- python=3.7
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- numpy
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- matplotlib
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- jupyter
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- netcdf4
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- scipy
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- nb_conda_kernels
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- nbdime
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- mpi4py
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- ffmpeg
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- pycuda
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- ipyparallel
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- line_profiler
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# Install conda environment (one-time operation):
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# $ conda env create -f conda_environment.yml
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# Activate environment
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# $ conda activate ShallowWaterGPU
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# OPTIONAL: If you want to compile pycuda yourself, uncomment pycuda under
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# "dependencies" above and do the following (one-time operation):
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# - pycuda: $ pip3 install --no-deps -U pycuda
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# on Windows: make sure your visual studio c++ compiler is available in PATH
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# PATH should have something like C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\
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# Install conda environment (one-time operation):
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# $ conda env create -f conda_environment_hpc.yml
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# Activate environment and install the following packages using pip:
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# $ conda activate ShallowWaterGPU
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# $ conda activate ShallowWaterGPU_HPC
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# - pycuda: $ pip3 install --no-deps -U pycuda
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# on Windows: make sure your visual studio c++ compiler is available in PATH
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# PATH should have something like C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\
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