This repository contains a collection of standalone routines for processing plotfiles created with the AMReX software framework for block-structured adaptive mesh refinement simulations. Documentation is under development, but is available at
https://peleanalysis.readthedocs.io/en/latest/
AMReX is required for these tools, and is available https://github.com/AMReX-Codes/amrex
In order to build these processing tools, you should clone or fork the amrex repository, and set the environment variable AMREX_HOME
to point to the local folder where that is placed. Then clone this repository, cd Src
and edit the GNUmakefile
to select which tool to build. If AMReX is configured properly, a stand-alone executable will be built locally, based on the selected options, including spatial dimension (2 or 3), compiler choices, whether to build with MPI and/or OpenMP enabled, and whether to build a debugging or optimized version. Note that some of the tools require building a companion f90 source file - you must manually set the flag in the GNUmakefile
accordingly. More extensive documentation is available (see building instructions below).
To add a new feature to PeleAnalysis, the procedure is:
Create a branch for the new feature (locally)
git checkout -b AmazingNewFeature
Develop the feature, merging changes often from the master branch into your AmazingNewFeature branch
git commit -m "Developed AmazingNewFeature" git checkout master git pull [fix any identified conflicts between local and remote branches of "master"] git checkout AmazingNewFeature git merge master [fix any identified conflicts between "master" and "AmazingNewFeature"]
3. Push feature branch to PeleAnalysis repository (if you have write access, otherwise fork the repo and push the new branch to your fork):
git push -u origin AmazingNewFeature [Note: -u option required only for the first push of new branch]
- Submit a merge request through the github project page - be sure you are requesting to merge your branch to the master branch.
Documentation for the analysis routines exists in the Docs directory. To build the documentation:
cd Docs make html
This research was supported by the Exascale Computing Project (ECP), Project Number: 17-SC-20-SC, a collaborative effort of two DOE organizations -- the Office of Science and the National Nuclear Security Administration -- responsible for the planning and preparation of a capable exascale ecosystem -- including software, applications, hardware, advanced system engineering, and early testbed platforms -- to support the nation's exascale computing imperative.