Sibernetic is a fluid mechanics simulator developed for simulations of C. elegans in the OpenWorm project developed for the OpenWorm project by Andrey Palyanov, Sergey Khayrulin and Mike Vella as part of the OpenWorm team. Sibernetic provides an implementation of the PCISPH contractile matter algorithm for simulating muscle tissue and is applies to C. elegans locomotion.
When driven by Hodgkin Huxley dynamics contractile matter is called Electrofluid.
Sibernetic is primarily written in C++ and OpenCL, it also provides a Python API.
There is a separate effort lead by Giovanni Idili and Sergey Khayrulin to port this code to Java, as part of the Geppetto simulation framework.
Linux
Install OpenCL on Ubuntu. We suggest you initially go with AMD OpenCL drivers as we have found these to be the most stable and complete. You can also try Intel's drivers. This step often causes problems, contact the openworm-discuss mailing list if you encounter issues. The AMD drivers include samples in /opt/AMDAPP/samples/opencl/bin which you can use to verify your OpenCL support is working.
You'll also need a variety of libraries. In ubuntu, install the dependencies with:
sudo apt-get install g++ python-dev freeglut3-dev nvidia-opencl-dev libglu1-mesa-dev libglew-dev python-numpy
Next, navigate to the Release folder and run:
make clean
make all
Mac: stay in the top-level folder and run:
make clean -f makefile.OSX
make all -f makefile.OSX
You should see an output which looks something like this:
Building file: ../src/PyramidalSimulation.cpp
Invoking: GCC C++ Compiler
....
more stuff...
....
Building target: Smoothed-Particle-Hydrodynamics
Invoking: GCC C++ Linker
g++ -L/usr/lib -L/usr/lib/python2.7 -o "Smoothed-Particle-Hydrodynamics" ./src/PyramidalSimulation.o ./src/main.o ./src/owHelper.o ./src/owOpenCLSolver.o ./src/owPhysicsFluidSimulator.o ./src/owWorldSimulation.o -lOpenCL -lpython2.7 -lrt -lglut -lGL -lGLU
Finished building target: Smoothed-Particle-Hydrodynamics
Then navigate to the top-level folder in the hierarchy (e.g Smoothed-Particle-Hydrodynamics) and set your PYTHONPATH:
export PYTHONPATH=$PYTHONPATH:'./src'
Finally, to run, run the command:
Linux:
./Release/Smoothed-Particle-Hydrodynamics
Mac:
./build/Smoothed-Particle-Hydrodynamics
You may need to make ./Release/Smoothed-Particle-Hydrodynamics executable like so:
chmod +x ./Release/Smoothed-Particle-Hydrodynamics
If you do not run from the top-level folder you will see an error which looks something like this:
Compilation failed:
"/tmp/OCLQ1BaOw.cl", line 8: catastrophic error: cannot open source file
"src//owOpenCLConstant.h"
#include "src//owOpenCLConstant.h"
You may wish to save simulations to disk rather than visualise them (WARNING: This is buggy)
For record configuraton into file you need to run simulation with key -l_to - it create 3 new files at the folder ./buffers:
- connection_buffers.txt - it need to store information about conection among of elastic partciles
- membranes_buffer.txt - it need to store information about membranes
- position_buffer.txt - it need to store information current position all of the non boundary particles it save information to this file every 10 steps of simulation. You shoulld remember that than more info you want to store than bigger output file is.
For view result you should run simulation with key -l_from - it get positions from position_buffer.txt file and draw evolution of system in time
If you run a simulation you may be interested in recording the graphical output. Making such videos is a bit tricky because they need to be speeded up, so far I have found the following two commands do a decent job (change folder names accordingly) after you have used a screen record program:
#If your video is in OGV format (if you used recordmydesktop for instance), use the following script to convert to avi:
#!/bin/bash
# ogv to avi
# Call this with multiple arguments
# for example : ls *.{ogv,OGV} | xargs ogv2avi
N=$#;
echo "Converting $N files !"
for ((i=0; i<=(N-1); i++))
do
echo "converting" $1
filename=${1%.*}
mencoder "$1" -ovc xvid -oac mp3lame -xvidencopts pass=1 -o $filename.avi
shift 1
done
#make images from video
ffmpeg -i crawley_6.avi -r 0.05 -f image2 ~/Documents/tmp/output-%06d.jpg
#re-encode into video
ffmpeg -r 100 -i output-%06d.jpg -r 100 -vb 60M speeded_worm.mp4