COMSOL Multiphysics is a cross-platform finite element analysis, solver and multiphysics simulation software. It allows conventional physics-based user interfaces and coupled systems of partial differential equations (PDEs). COMSOL provides an IDE and unified workflow for electrical, mechanical, fluid, and chemical applications. An API for Java and LiveLink for MATLAB may be used to control the software externally, and the same API is also used via the Method Editor.
When a model is built in Comsol GUI, the next step is to compute the model for a solution, which is often time-consuming. A job script must be created to run the model in batch to have controllable duration and computational resources. This tutorial illustrates how to create Comsol LSF batch scripts on Ada.
All solvers in Comsol can run in parallel in one of three parallel modes: shared memory mode, distributed mode, or hybrid mode. By default, a Comsol solver runs in shared memory mode. This is the same as OpenMP where the parallelism is limited by total number of CPU cores available in one compute node in a cluster.
Comsol is restricted software that is only limited to users and groups who have a license. You can choose one of the following to get access:
- Purchase your own license (If you choose this route, you can either ask us to host the license server or you can host the server by yourself.)
- Ask for permission to use the license server maintained by the school of engineering.
The contact person is:
A Complete Example
Example 1: solving a model in shared memory using 20 cores in one cluster node.
#BSUB -J comsoltest #BSUB -n 20 -R "span[ptile=20]" #BSUB -M 2800 -R "rusage[mem=2800]" #BSUB -o output.%J #BSUB -L /bin/bash #BSUB -W 2:00 module load Comsol/xxx comsol -np 20 batch -inputfile in.mph -outputfile out.mph
Note: xxx represents a Comsol version. You need to pick the version you need to access.
Running Comsol in Different Parallel Mode
Assuming other things are the same as in Example 1, we will see additional examples running in different parallel modes by changing number of cores and Comsol command line parameters.
Example 2: Solving a model in shared mode and using 10 cores in one cluster node. This is the similar as Example 1.
#BSUB -n 10 -R "span[ptile=10]" comsol -np 10 batch -inputfile input.mph -outputfile output.mph
Example 3: Solving a model in distributed mode on two cluster nodes with a total of 40 cores
#BSUB -n 40 -R "span[ptile=20]" comsol -simplecluster -inputfile input.mph -outputfile output.mph
This is the same as:
#BSUB -n 40 -R "span[ptile=20]" cat $LSB_DJOB_HOSTFILE > hostfile.$LSB_JOBID comsol -f ./hostfile.$LSB_JOBID -nn 40 batch -inputfile input.mph -outputfile output.mph
Either mode has its pros and cons. Shared mode utilizes CPU cores better than distributed mode but can only run in one node, while distributed mode can utilize more than one node. It is usually best to run a solver in a way to take advantage of both modes. This can be done easily at the command line through fine tuning of the options -nn, -nnhost, -np.
Example 4: Solving a model in hybrid mode on 2 cluster nodes with 40 cores. In this example, Comsol will spawn 2 MPI tasks in total (one on each cluster node). Each MPI task will be running with 20 threads on 20 cores.
#BSUB -n 40 -R "span[ptile=20]" cat $LSB_DJOB_HOSTFILE |uniq > hostfile.$LSB_JOBID comsol batch -f ./hostfile.$LSB_JOBID -nn 2 -nnhost 1 -np 20 -inputfile input.mph -outputfile output.mph
Example 5: Solving a model in hybrid mode on 2 cluster nodes with 40 cores. In this example, Comsol will spawn 4 MPI tasks in total (one on each cluster node). Each MPI task will be running with 10 threads on 10 cores.
#BSUB -n 40 -R "span[ptile=20]" cat $LSB_DJOB_HOSTFILE |uniq > hostfile.$LSB_JOBID comsol batch -f ./hostfile.$LSB_JOBID -nn 4 -nnhost 2 -np 10 -inputfile input.mph -outputfile output.mph
Comsol models configured with parameter sweep can also benefit from parallel computing in different ways. A model configured with parameter sweep needs to run under a range of parameters or combinations of parameters, and each set of parameters can be calculated independently. Once a model with parameter sweep node created in Comsol GUI, it must be also configured with cluster sweep to distribute the parameters to be processed in parallel.
Example 6: Solving a parameter sweep model on 40 cores. In this example, 10 combinations of parameters will be running in concurrently on two cluster nodes with 5 combinations of parameters on each cluster node. Each combination of parameters will be running with 4 threads on 4 cores.
#BSUB -n 40 -R "span[ptile=20]" cat $LSB_DJOB_HOSTFILE |uniq > hostfile.$LSB_JOBID comsol -f ./hostfile.$LSB_JOBID -nn 10 -nnhost 5 -np 4 -inputfile input.mph -outputfile output.mph
If each combination of parameters requires large amount of memory to solve, then we can specify one combination of parameters per node such that the entire memory on the node will be used for solving one combination of parameters.
Example 7: Solving a parameter sweep model (with 10 parameter combinations) on 200 cores with each parameter combination taking an entire cluster node.
#BSUB -n 200 -R "span[ptile=20]" cat $LSB_DJOB_HOSTFILE |uniq > hostfile.$LSB_JOBID comsol -f ./hostfile.$LSB_JOBID -nn 10 -nnhost 1 -np 20 -inputfile input.mph -outputfile output.mph
1. Disk quota exceeded in home directory.
By default, comsol stores all temparary files in your home directory. For large models, are likely to get "Disk quota exceeded" error due to huge amount of temporary files dumped into y our home directory. To resolve this issue, you need to redirect temporary files to your scratch directory.
comsole -tmpdir /scratch/user/username/cosmol/tmp -recoverydir /scratch/user/username/comsol/recovery ...