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Starting a simulation
You are here: Home > PIConGPU User Documentation > Starting a simulation
This is a quick start guide on how to start a simulation using PIConGPU. For detailed installation and usage instructions, look here.
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PIConGPU enables detailed configuration of most simulation parameters. For performance reasons, most of these physics parameters must be set at compile time. As a result, you can not create a single PIConGPU binary and use it to start different types of simulations (but for multiple runs of the same simulation type, of course). Instead, you must re-compile if you change physical settings other than e.g. the area of simulation or the number of simulation processes.
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For now, we will start with one of the examples that ship with PIConGPU. It will be explained later how to modify examples to fit your own simulation needs.
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Examples can be found in
$PICSRC/examples/
. We will use the$PICSRC/examples/LaserWakefield
example here. -
You need to setup three directories next to the PIConGPU source tree. We will call them
$PIC_BUILD
,$PIC_PARAM
and$PIC_RUNS
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Go to
$PIC_BUILD
and execute$PICSRC/createParameterSet $PICSRC/examples/LaserWakefield/ $PIC_PARAM/lw
. This will create a copy of the LaserWakefield example configuration in$PIC_PARAM/lw
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Still in
$PIC_BUILD
, execute$PICSRC/configure $PIC_PARAM/lw
. This will use cmake to configure our new configuration. -
If successful, just type
make install
. Since PIConGPU heavily relies on C++ templates, this might take a while so be patient. -
At this point, we have a binary and configuration files for our example simulation in
$PIC_PARAM/lw
. Now, we want to actually start the simulation using another tool that ships with PIConGPU,tbg
. It can be found in$PICSRC/src/tools/bin/tbg
so it is easiest to add just add it to your PATH by executingexport PATH=$PICSRC/src/tools/bin:$PATH
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Whether you want to start your simulation on your local, CUDA-capable machine or on a cluster using its batch system determines how to use
tbg
. For this introduction, we will assume that your local machine (or the machine where you are building PIConGPU) has a CUDA-capable GPU. -
Go to
$PIC_PARAM/lw
and executetbg -s bash -c submit/0001gpus.cfg -t submit/bash/bash_mpirun.tpl $PIC_RUNS/lw_test_01
. Remenber to replace$PIC_RUNS
with the appropriate directory path if you did not export it previously. This will start PIConGPU in your current bash instance. -
Once the simulation run finishes, results can be found in
$PIC_RUNS/lw_test_01/simOutput
. For example, have a look at the generated PNG images in$PIC_RUNS/lw_test_01/simOutput/pngElectronsYX
which show the laser pulse and the electron densities.
- Congratulation, you just finished your first PIConGPU simulation. Now go get some coffee, there is more to come!
Continue with "Configure an example".
All wiki entries describe the dev branch. Features may be different in the current master branch.
Before you start please read our README!
PIConGPU is a scientific project. If you present and/or publish scientific results that used PIConGPU, you should set a reference to show your support. Our according up-to-date publication at the time of your publication should be inquired from:
The documentation in this wiki is still not complete and we need your help keeping it up to date. Feel free to help improving this wiki!