To run the parallel data reading application:
- install anaconda (pretty easy to do)
- "conda env create -n lcls2 -f env_create.yaml" using env_create.yaml file shown below
- activate the conda environment with "conda activate lcls2"
- git clone https://github.com/slac-lcls/lcls2.git
- "cd lcls2"
- make sure you have gcc>=6
- build software with "./build_python2_psana.sh"
- run software with "nosetests psana/psana/tests/test_manager.py:Test.test_parallel"
- after doing the previous line (which generates some small "fake data") you can run the software by hand with "mpirun -n 3 python psana/psana/tests/user.py"
env_create.yaml:
channels: - defaults dependencies: - python=2.7 - cmake - numpy - cython - mpi4py - nose - matplotlib
Overview
Content Tools