Using and Installing CCL on NERSC

To use the central installation of pyCCL at NERSC.

• Using the CCL Python module in the shared environment :
  • Setup the environment: source /global/common/software/lsst/common/miniconda/setup_current_python.sh
  • Quick test to be sure things are set up correctly You can check whether pyccl has been set up correctly by running python -c "import pyccl" and checking that no errors are returned.

or

• Run Example Notebooks

  • Set up your NERSC account by adding DESC jupyter kernels to your environment. This only needs to be done once.

  source /global/common/software/lsst/common/miniconda/kernels/setup.sh

  • Clone the CCL repo to your NERSC $HOME directory

  git clone https://github.com/LSSTDESC/CCL.git

  1. Start up http://jupyter.nersc.gov/

  2. Open your notebook

  3. Change the kernel to desc-stack

  4. Run your notebook

To Build the CCL Paper

• git clone https://github.com/LSSTDESC/CCL.git
• cd CCL
• git checkout ccl_paper
• module load python/3.6-anaconda-4.4
• module load latex
• pip install --user mkauthlist
• export MKAUTHLIST=$HOME/.local/cori/3.6-anaconda-4.4/bin/mkauthlist
• cd doc/ccl_paper
• make apj

pyccl >= v2.0.1 Installation

0. If class is not installed already (The last step needs to be done in CCL installation directory).

   • export CFLAGS=-fPIC
   • export CRAYPE_LINK_TYPE=dynamic
   • export XTPE_LINK_TYPE=dynamic
   • python class_install.py

1. Load the necessary modules. You can run the steps as follows (or put them in a script, e.g., CCL_setup.sh, and do source CCL_setup.sh)

   • module load gsl/2.1
   • module load cray-fftw
   • module load cmake
   • module load swig
   • export LDFLAGS+="-L$GSL_DIR/lib -L$FFTW_DIR"
   • export CPPFLAGS+="-I$GSL_DIR/include -I$FFTW_DIR/../include"

2. pip install pyccl==2.0.1