The simplistic simulations covered in these tutorials should not be overly taxing on a relatively recent desktop machine. However, you may likely want to develop simulations which have many more molecules possibly on large dense mesh objects. There are a couple of strategies you can use to speed up your simulations (and/or to save disk space). The following three topics will address some of these issues:
Partitions are a simple but highly effective method of speeding up MCell simulations. When MCell checks to see if a reaction occurs, partitions lower the number of potential partners it must check against. However, care must be taken not to use so many partitions that your computer begins to run out of memory (ultimately slowing the simulation down).
Download and open the partitions.blend file. You will see a tilted Cube object. If you look through the CellBlender settings, you will notice that we are releasing two species of molecules (vol1 and vol2) inside of the Cube, and there are two sets of reactions:
vol1 + vol2 -> vol1 + vol3 vol1 + vol3 -> vol2 + vol3
You have already learned how to create a model similar to this in :ref:`getting_started`, so we won't go over it again. What we are going to cover next is new however. Expand the Define and Visualize Partitions panel. Select Include Partitions. Click Show Boundaries, and you will see a wireframe of a cube that goes from -1.0 to 1.0 along each axis. These represent the boundaries of the partitions. Now, hit Automatically Generate Boundaries and you should see the partition boundaries grow to encompass the entire Cube object. Change each Step value to 0.15.
So what is happening here exactly? We are creating arrays of planes along each axis specified. The intersection of these planes creates subvolumes. Specifically, it takes two XY, two XZ, and two YZ planes to create a single subvolume. The length of these subvolumes should generally not be smaller than the mean diffusion distance of the fastest molecules in your simulation.
Now, expand the Run Simulation panel and hit the Run Simulation button. A green check mark will appear when the simulations have completed. Look at the console (or log files if enabled in /home/user/mcell_tutorial/partitions/partitions_files/). Notice the section near the end, which should say something like this:
... Total wall clock time = 2 seconds Done running.
Now, disable the partitions and run it again. Check the newly created log file and you will likely see the total simulation time increase (i.e. a decrease in iterations/second) like this:
... Total wall clock time = 22 seconds Done running.
Your results will likely vary, as the speed improvement will depend on the machine running the simulation. You may want to experiment with changing the Step value. For example try decreasing it to 0.10. If the wall clock time increases (i.e. the simulation is running slower), try making the Step value larger than the original value (e.g. set the Step value to 0.20). It may take a few tries to find an optimal value.
If you have a reaction between two molecules in which there are many of one species and very few of another, you might want to consider using the Target Only option when defining the species with the high concentration. Normally, a diffusing molecule will check to see if there are any potential molecules to react with. However, a molecule that is marked as Target Only can only be the target of a reaction, and will not search for partners to react with.
Download and open the target_only.blend file. If you look through the CellBlender settings, you will see that we are using the Target Only option in the molecule definition of vol2:
Additionaly, you will notice that we are releasing two species (vol1 and vol2) inside of the Cube and that there is one reaction:
vol1 + vol2 -> vol1 + vol3
This means that vol1 reacts with vol2 to create vol3 and recreate vol1. Without the Target Only command, every vol2 molecule would have to check to see if there were vol1 molecules to react with and vice versa. With this command, only vol1 must search for reaction partners. Given that there are 100 vol1 and 50000 vol2, this second method is much more efficient.
Now, expand the Run Simulation panel and hit the Run Simulation button. A green check mark will appear when the simulations have completed. Try running it again without Target Only selected for vol2 and check the log files for the two runs.
Visualization data can be great if you are making a figure to accompany a paper, or you are trying to troubleshoot a problem in your simulation, but there's probably no need to export every molecule at every iteration. You could either disable viz data entirely when you don't need it or only export the molecules you need. Also, you can choose to export viz data for a subset of your entire simulation (e.g. imagine your simulation runs for 10000 iterations, but you only need every tenth iteration from 9000 to 10000). Both of these solutions can speed up your simulation and save you disk space.
