Installation on Comet (SDSC)

Comet is an HPC cluster at the San Diego Supercomputer Center (SDSC).

It provides both NVIDIA K80 and P100 GPU-based resources.

Installation of FBPIC

Installation of Anaconda

In order to download and install Anaconda and FBPIC, follow the steps below:

  • Download Miniconda:

  • Execute the Miniconda installation script


    when asked whether to append the path of miniconda to your .bashrc, answer yes.

Installation of FBPIC and its dependencies

  • Install the dependencies of fbpic (except mpi4py and cupy)

    conda install -c conda-forge numba scipy h5py mkl cudatoolkit=9.2
  • Install mpi4py and cupy

    module purge
    module load gnutools
    module load gnu openmpi_ib
    pip install cupy-cuda92
    env MPICC=/opt/openmpi/gnu/ib/bin/mpicc pip install mpi4py --user
  • Install fbpic

    pip install fbpic

Running simulations

This section briefly describes how to submit simulations. For more information, see Comet’s User Guide.

Preparing a new simulation

In order to prepare a new simulation, create a new subdirectory within the above-mentioned directory, and copy your input script there.

Interactive jobs

In order to request a node with 4 K80 GPUs:

salloc -p gpu --gres=gpu:k80:4 -t 00:30:00

Once the job has started, type

srun --pty /bin/bash

in order to connect to the node that has been allocated. Then cd to the directory where you prepared your input script and type

python <>

Batch job

Create a new file named submission_file in the same directory as your input script. Within this new file, copy the following text (and replace the bracketed text by the proper values).

#SBATCH -J my_job
#SBATCH --nodes <requestedNode>
#SBATCH --time <requestedTime>
#SBATCH --export=ALL
#SBATCH -p gpu
#SBATCH --gres=gpu:<gpuType>:4
#SBATCH --ntasks-per-node=<coresPerGPU>

srun --mpi=pmi2 -n <nMPI> python

where <nMPI> should be 4 times <requestedNode> (since there are 4 GPUs per node on Comet), and where:

  • For a K80 node: <gpuType> should be k80 and coresPerGPU should be 6

  • For a P100 node: <gpuType> should be p100 and coresPerGPU should be 7

Then run:

sbatch submission_file