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cp2k

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Description

A quantum chemistry and solid state physics software package

Publisher

Dr. Ole Schütt - CP2K Foundation

Latest Tag

v2023.1

Modified

December 2, 2023

Compressed Size

2.07 GB

Multinode Support

Yes

Multi-Arch Support

Yes

CP2k

CP2K is a quantum chemistry and solid state physics software package that can perform atomistic simulations of solid state, liquid, molecular, periodic, material, crystal, and biological systems. CP2K provides a general framework for different modeling methods such as DFT using the mixed Gaussian and plane waves approaches GPW and GAPW. Supported theory levels include DFTB, LDA, GGA, MP2, RPA, semi-empirical methods (AM1, PM3, PM6, RM1, MNDO, ...), and classical force fields (AMBER, CHARMM, ...). CP2K can do simulations of molecular dynamics, metadynamics, Monte Carlo, Ehrenfest dynamics, vibrational analysis, core level spectroscopy, energy minimization, and transition state optimization using NEB or dimer method.

System Requirements

x86_64

  • CPU with AVX2 instruction support
  • One of the following CUDA driver versions
    • >=525.60.13

arm64

  • Pascal(sm60), Volta(sm70), or Ampere (sm80/sm86) NVIDIA GPU(s)
  • CPU with Neoverse-N1 instruction support
  • One of the following CUDA driver versions
    • >=525.60.13

Running CP2k

Download the Benchmark

For this example we will use the QS_DM_LS benchmark that will perform a single-point energy calculation using linear-scaling DFT. More information on this benchmark can be found here.

svn export https://github.com/cp2k/cp2k/trunk/benchmarks/QS_DM_LS
cd QS_DM_LS
Select Tag

Several CP2K images are available, depending on your needs. Set the following environment variable which will be used in the example below.

export CP2K_TAG={TAG}

Where {TAG} is v2023.1 or any other tag previously posted on NGC.

Running with nvidia-docker

Without Infiniband
docker run -it --privileged --rm --gpus all --shm-size 32Gb -v ${PWD}:/host_pwd --workdir /host_pwd nvcr.io/hpc/cp2k:${CP2K_TAG} mpirun --bind-to none -n 2 cp2k.psmp -i H2O-dft-ls.NREP2.inp
With Infiniband
docker run -it --privileged --rm -v ${PWD}:/host_pwd --workdir /host_pwd --gpus all --shm-size 32Gb --device=/dev/infiniband --cap-add=IPC_LOCK --net=host nvcr.io/hpc/cp2k:${CP2K_TAG} mpirun --bind-to none -n 2 cp2k.psmp -i H2O-dft-ls.NREP2.inp

Note: Docker Versions <=20.xx.xx

There is currently a bug in older Docker versions with newer Ubuntu images, using the latest tag of CP2K requires the --privileged flag to run the container, or an update to Docker.

Running with Singularity

singularity run --nv -B ${PWD}:/host_pwd --pwd /host_pwd docker://nvcr.io/hpc/cp2k:${CP2K_TAG} mpirun --bind-to none -n 2 cp2k.psmp -i H2O-dft-ls.NREP2.inp

Note: Singularity 3.1.x - 3.2.x

There is currently a bug in Singularity 3.1.x and 3.2.x causing the LD_LIBRARY_PATH to be incorrectly set within the container environment. As a workaround The LD_LIBRARY_PATH must be unset before invoking Singularity:

$ LD_LIBRARY_PATH="" singularity run --nv -B ${PWD}:/host_pwd --pwd /host_pwd docker://nvcr.io/hpc/cp2k:${CP2K_TAG}

Suggested Reading

CP2k

CP2k GitHub

CP2k How To