GAMESS

The General Atomic and Molecular Electronic Structure Systems (GAMESS) program simulates molecular quantum chemistry, allowing users to calculate various molecular properties and dynamics.

System Requirements

Before running the NGC GAMESS container please ensure your system meets the following requirements.

Pascal(sm60) or Volta(sm70) NVIDIA GPU(s)
CUDA driver version >= 384.81
One of the following container runtimes\n
- nvidia-docker
- Singularity >= v2.5.0
\n

Running GAMESS

Supported Architectures

NGC provides access to GAMESS containers targeting the following NVIDIA GPU architectures.

Pascal(sm60)
Volta(sm70)

Executables

rungms: primary GAMESS executable

Examples

The following examples demonstrate how to run the NGC GAMESS container under the supported runtimes.

nvidia-docker\n
- command line execution
- interactive shell
\n
Singularity\n
- command line execution
- interactive shell
\n

Running with nvidia-docker

Command line execution with nvidia-docker

To run the cc-h2co example in detached mode, execute the following command.

nvidia-docker run -v $(pwd):/results --rm nvcr.io/hpc/gamess:17.09-r2-libcchem -c \"cd /workspace/examples && rungms cc-h2co.inp\"\n

Any simulation will have the following output:

[Running input $JOB on $NCPUS node(s) with $NGPUS gpu(s)]\n[Run completed]\n

Upon completion, a logfile will be written to /results (container) and the present working directory $(pwd) (host) and will contain all simulation data.

Interactive shell with nvidia-docker

nvidia-docker run -v $(pwd):/results --rm -it nvcr.io/hpc/gamess:17.09-r2-libcchem\ncd /workspace/examples\nrungms cc-h2co.inp\n

Notes on Running Simulation

Any simulation will have the following output:

[Running input $JOB on $NCPUS node(s) with $NGPUS gpu(s)]\n[Run completed]\n

Upon completion, a logfile will be written to /results/ (container) and the present working directory $(pwd) (host) and will contain all simulation data.

Running with Singularity

Pull the image

Save the NGC GAMESS container as a local Singularity image file:

singularity build gamess_17.09-r2-libcchem.simg docker://nvcr.io/hpc/gamess:17.09-r2-libcchem\n

This will save the container to current working directory as gamess_17.09-r2-libcchem.simg

Once the local Singularity image has been pulled the following modes of running are supported.

To run the benchmark examples below the workspace must first be copied to your working directory, to do so execute the following command:

singularity exec --nv gamess_17.09-r2-libcchem.simg cp -r /workspace .\n

Note: Singularity/2.x

In order to pull NGC images with singularity version 2.x and earlier, NGC container registry authentication credentials are required.

To set your NGC container registry authentication credentials:

\n\">

$ export SINGULARITY_DOCKER_USERNAME='$oauthtoken'\n$ export SINGULARITY_DOCKER_PASSWORD=<NVIDIA NGC Cloud Services API key>\n

More information describing how to obtain and use your NVIDIA NGC Cloud Services API key can be found\nhere.

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.\nAs a workaround The LD_LIBRARY_PATH must be unset before invoking Singularity:

$ LD_LIBRARY_PATH=\"\" singularity exec ...\n

Command line execution with Singularity

To run the cc-h2co example in detached mode, execute the following command.

singularity run --nv -B workspace:/workspace -B $(pwd):/results gamess_17.09-r2-libcchem.simg -c \"cd /workspace/examples && rungms cc-h2co.inp\"\n

Any simulation will have the following output:

$ [Running input $JOB on $NCPUS node(s) with $NGPUS gpu(s)]\n$ [Run completed]\n

Upon completion, a logfile will be written to /results/ (container) and the present working directory $(pwd) (host) and will contain all simulation data.

Interactive shell with Singularity

singularity run --nv -B workspace:/workspace -B $(pwd):/results gamess_17.09-r2-libcchem.simg\ncd /workspace/examples\nrungms cc-h2co.inp\n

Notes on Running Simulation

Any simulation will have the following output:

$ [Running input $JOB on $NCPUS node(s) with $NGPUS gpu(s)]\n$ [Run completed]\n

Upon completion, a logfile will be written to /results (container) and the present working directory $(pwd)- (host) and will contain all simulation data.

Running a Simulation with Your Own Input Deck

You can provide your own input decks by mapping /path/to/your_workspace on your host machine to /workspace in the container. See below for an example of how to do this with an interactive session.

nvidia-docker run -v /path/to/your_workspace:/workspace -v /path/to/results:/results --rm -it nvcr.io/hpc/gamess_17.09-r2-libcchem\n

or for singularity:

singularity run --nv -B /path/to/your_workspace:/workspace -B /path/to/results:/results gamess_17.09-r2-libcchem.simg\n

The run-script assumes the file structure below for your own jobs:

/path/to/your_workspace\n    scratch/\n\trestart/\n\tyour_input.inp\n

To run a job using your own data, you’ll have to navigate to /path/to/your_workspace before running rungms. See below.

cd /workspace\nrungms your_input.inp\n

Suggested Reading

GAMESS Website

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(17.09-r2-libcchem)","hpc/gamess","hpc/containers/gamess","gamess","GAMESS is used for computational chemistry calculations including DFT which is used to understand the potential of a drug molecule binding with proteins for drug discovery.","# GAMESS\n\nThe General Atomic and Molecular Electronic Structure Systems (GAMESS) program simulates molecular quantum chemistry, allowing users to calculate various molecular properties and dynamics.\n\n# System Requirements\nBefore running the NGC GAMESS container please ensure your system meets the following requirements.\n* Pascal(sm60) or Volta(sm70) NVIDIA GPU(s)\n* CUDA driver version >= 384.81\n* One of the following container runtimes\n * [nvidia-docker](https://github.com/NVIDIA/nvidia-docker)\n * [Singularity](https://www.sylabs.io/docs/) >= v2.5.0\n\n# Running GAMESS\n#### Supported Architectures\nNGC provides access to GAMESS containers targeting the following NVIDIA GPU architectures.\n* Pascal(sm60)\n* Volta(sm70)\n\n#### Executables\n`rungms`: primary GAMESS executable\n\n#### Examples\nThe following examples demonstrate how to run the NGC GAMESS container under the supported runtimes.\n* [nvidia-docker](#running-with-nvidia-docker)\n * [command line execution](#command-line-execution-with-nvidia-docker)\n * [interactive shell](#interactive-shell-with-nvidia-docker)\n* [Singularity](#running-with-singularity)\n * [command line execution](#command-line-execution-with-singularity)\n * [interactive shell](#interactive-shell-with-singularity)\n\n# Running with nvidia-docker\n## Command line execution with nvidia-docker\n\nTo run the cc-h2co example in detached mode, execute the following command.\n\n```\nnvidia-docker run -v $(pwd):/results --rm nvcr.io/hpc/gamess:17.09-r2-libcchem -c \"cd /workspace/examples && rungms cc-h2co.inp\"\n```\n\nAny simulation will have the following output:\n\n```\n[Running input $JOB on $NCPUS node(s) with $NGPUS gpu(s)]\n[Run completed]\n```\n\nUpon completion, a logfile will be written to `/results` (container) and the present working directory `$(pwd)` (host) and will contain all simulation data.\n\n## Interactive shell with nvidia-docker\n\n```\nnvidia-docker run -v $(pwd):/results --rm -it nvcr.io/hpc/gamess:17.09-r2-libcchem\ncd /workspace/examples\nrungms cc-h2co.inp\n```\n\nNotes on Running Simulation\n\nAny simulation will have the following output:\n\n```\n[Running input $JOB on $NCPUS node(s) with $NGPUS gpu(s)]\n[Run completed]\n```\n\nUpon completion, a logfile will be written to `/results/` (container) and the present working directory `$(pwd)` (host) and will contain all simulation data.\n\n# Running with Singularity\n\n## Pull the image\nSave the NGC GAMESS container as a local Singularity image file:\n```\nsingularity build gamess_17.09-r2-libcchem.simg docker://nvcr.io/hpc/gamess:17.09-r2-libcchem\n```\n\nThis will save the container to current working directory as `gamess_17.09-r2-libcchem.simg`\n\nOnce the local Singularity image has been pulled the following modes of running are supported.\n* [Singularity command line execution](#command-line-execution-with-singularity)\n* [Singularity interactive shell](#interactive-shell-with-singularity)\n\nTo run the benchmark examples below the workspace must first be copied to your working directory, to do so execute the following command:\n```\nsingularity exec --nv gamess_17.09-r2-libcchem.simg cp -r /workspace .\n```\n\n### Note: Singularity/2.x\nIn order to pull NGC images with `singularity` version 2.x and earlier, NGC container registry authentication credentials are required.\n\nTo set your NGC container registry authentication credentials:\n```bash\n$ export SINGULARITY_DOCKER_USERNAME='$oauthtoken'\n$ export SINGULARITY_DOCKER_PASSWORD=\n```\n\nMore information describing how to obtain and use your NVIDIA NGC Cloud Services API key can be found\n[here](http://docs.nvidia.com/ngc/ngc-user-guide/index.html).\n\n### Note: Singularity 3.1.x - 3.2.x\nThere 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.\nAs a workaround The `LD_LIBRARY_PATH` must be unset before invoking Singularity:\n```bash\n$ LD_LIBRARY_PATH=\"\" singularity exec ...\n```\n\n## Command line execution with Singularity\n\nTo run the cc-h2co example in detached mode, execute the following command.\n\n```\nsingularity run --nv -B workspace:/workspace -B $(pwd):/results gamess_17.09-r2-libcchem.simg -c \"cd /workspace/examples && rungms cc-h2co.inp\"\n```\n\nAny simulation will have the following output:\n\n```\n$ [Running input $JOB on $NCPUS node(s) with $NGPUS gpu(s)]\n$ [Run completed]\n```\n\nUpon completion, a logfile will be written to `/results/` (container) and the present working directory `$(pwd)` (host) and will contain all simulation data.\n\n## Interactive shell with Singularity\n\n```\nsingularity run --nv -B workspace:/workspace -B $(pwd):/results gamess_17.09-r2-libcchem.simg\ncd /workspace/examples\nrungms cc-h2co.inp\n```\n\nNotes on Running Simulation\n\nAny simulation will have the following output:\n\n```\n$ [Running input $JOB on $NCPUS node(s) with $NGPUS gpu(s)]\n$ [Run completed]\n```\n\nUpon completion, a logfile will be written to `/results` (container) and the present working directory `$(pwd)-` (host) and will contain all simulation data.\n\n# Running a Simulation with Your Own Input Deck\n\nYou can provide your own input decks by mapping `/path/to/your_workspace` on your host machine to `/workspace` in the container. See below for an example of how to do this with an interactive session.\n\n```\nnvidia-docker run -v /path/to/your_workspace:/workspace -v /path/to/results:/results --rm -it nvcr.io/hpc/gamess_17.09-r2-libcchem\n```\nor for singularity:\n\n```\nsingularity run --nv -B /path/to/your_workspace:/workspace -B /path/to/results:/results gamess_17.09-r2-libcchem.simg\n```\n\nThe run-script assumes the file structure below for your own jobs:\n\n```\n/path/to/your_workspace\n scratch/\n\trestart/\n\tyour_input.inp\n```\n\nTo run a job using your own data, you’ll have to navigate to `/path/to/your_workspace` before running rungms. See below.\n\n```\ncd /workspace\nrungms your_input.inp\n```\n\n\n# Suggested Reading\n\n[GAMESS Website](http://www.msg.ameslab.gov/GAMESS/)","GAMESS",["D",1510609653151],"Gordon Group",[195],"/api/image/hpc/-/containers/gamess",1675316446,"hasSignedTag",[],[265,266,267,268],[],[],[],{"_91":279,"_126":280,"_127":281,"_129":130},{"_91":275,"_126":276,"_127":277,"_129":130},{"_91":271,"_126":272,"_127":273,"_129":130},{"_91":269,"_126":269,"_127":270,"_129":130},"Supercomputing",{"_131":130,"_126":269},"Manufacturing","indus_manufacturing",{"_131":274,"_126":272},"industry","HPC","pltfm_hpc",{"_131":278,"_126":276},"platform","High Performance Computing","uscs_high_performance_computing",{"_131":282,"_126":280},"application",{"_163":1261,"_165":1262},"ngcApps",[1214],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1195":1196,"_1197":1198,"_1199":1200,"_1201":1202,"_1203":294,"_194":318,"_1204":1205,"_1206":51,"_1207":143,"_1208":143,"_1209":1210,"_1211":143,"_1212":1213},"amplitude",{"_1192":1193,"_832":-7,"_1194":26},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMSUyMiUzQXRydWUlN0Q=","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1186":1187,"_1188":1189,"_1190":1191},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.10.0","defaultSearchSuggestions",{"_1072":400,"_1073":1074,"_1075":1076,"_1077":1078},"announcements",[],"consentState",{"_357":1062,"_1063":143,"_1064":26,"_1065":26,"_1066":1067},"consentConfig",{"_339":340,"_341":342,"_343":344,"_345":346,"_347":348,"_349":350,"_351":352,"_353":354,"_355":356,"_357":358},"showContactAdmin",1785170400587,[],[],[332,333,334,335,336,337,338],{"_40":62,"_42":67,"_44":64,"_46":-5,"_48":-5,"_50":51},{"_40":62,"_42":65,"_44":64,"_46":-5,"_48":-5,"_50":51},{"_40":62,"_42":63,"_44":64,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":60,"_44":64,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":56,"_44":64,"_46":-5,"_48":-5,"_50":51},{"_40":52,"_42":53,"_44":64,"_46":-5,"_48":-5,"_50":51},{"_40":41,"_42":43,"_44":64,"_46":-5,"_48":-5,"_50":51},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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