simcov Copyright (c) 2021, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy), Arizona State University and University of New Mexico. All rights reserved.
If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov.
NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit others to do so.
This is a model for simulating the response of the immune system to infections in the lungs.
It requires UPC++, C++ and cmake.
This repo contains a submodule, so to install, it's best to run
git clone --recurse-submodules git@github.com:AdaptiveComputationLab/simcov.git
to fully initialize the submodules.
Once downloaded, build it with
./build.sh Release
or
./build.sh Debug
The executable will be installed in
<simcov-repo-directory>/install/bin
To run, execute
upcxx-run -n <number_processes> -N <number_nodes> -- simcov
To see the parameters available, run with -h.
It will create an output directory, which will contain a detailed log file (simcov.log). It will also create a file containing
all the configuration parameters (simcov.config).
A run can also be executed with a config file as
upcxx-run -n <number_processes> -N <number_nodes> -- simcov --config <config_file>
The config file consists of a list of all the command line options as key-value pairs, with semi-colons denoting comments. For example:
; Dimensions: x y z
dim = 100,100,100
; Number of timesteps
timesteps = 14000
Any options not specified in the config file will be set to the defaults (seen when run with -h).
When running with a config file, any parameters passed on the command line will override parameters read from the config file.
If running in debug mode, a subdirectory
called per_thread will appear, with one directory per process that contains debug information produced by that proc
Once the run has completed, the outputs can be viewed in paraview by opening the samples subdirectory of the output directory. To help with viewing, a python script can generate a paraview state file:
scripts/generate_paraview_state.py --data <output_dir>/samples --stats <output_dir>/simcov.stats -o paraview-state
Note that the pvpython wrapper is needed (not just plain python), and is used in the script.
The above command will generate a file called paraview-state.pvsm and this can be loaded into paraview, e.g.:
paraview paraview-state.pvsm
The version of simcov at commit id a7aa913288bd8139cd6fef5410811c2fad097236 on Aug 30, 2021 was used with pre-print publication https://www.biorxiv.org/content/10.1101/2021.05.19.444569v3 and the published version https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009735.
Note that the config folders in this version of the source code are numbered according to the figure order corresponding to the preprint, but different from the final published version.