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a computational chemistry application provided by Gaussian, Inc.

License agreement

In order to use Gaussian you have to  agree to the following conditions.

1. I am not a member of a research group developing software competitive to Gaussian.

2. I will not copy the Gaussian software, or make it available to anyone else.

3. I will properly acknowledge Gaussian Inc. in publications.

Please contact support with a copy of the following statement, to add your user ID to the Gaussian UNIX group.

Limitations

Gaussian 16 is available at NHR@ZIB. 

"Linda parallelism", Cluster/network parallel execution of Gaussian, is not supported at any of our systems. Only "shared-memory multiprocessor parallel execution" is supported, therefore no Gaussian job can use more than a single compute node.

Description

Gaussian 16 is the latest in the Gaussian series of programs. It provides state-of-the-art capabilities for electronic structure modeling. 

QuickStart

Environment modules

The following versions have been installed:

VersionInstallation Pathmodulefile
Modules for running on CPUs 
Gaussian 16 Revision C.02/sw/chem/g16/g16_C02/skl/g16 gaussian/g16_revC02

Modules for running on GPUs

Gaussian 16 Revision C.02/sw/chem/g16/g16_C02/a100/g16 gaussian/g16_revC02

Job submissions

Besides your Gaussian input file you have to prepare a job script to define the compute resources for the job; both input file and job script have to be in the same directory.

Default runtime files (.rwf, .inp, .d2e, .int, .skr files) will be saved only temporarily in $ $LOCAL_TMPDIR on the compute node where the job was scheduled to. The files will be removed by the scheduler when a job is done.

If you wish to restart your calculations when a job is done (successful or not) please use checkpoint (file_name.chk) files.

CPU jobs

Since only the "shared-memory multiprocessor" parallel version is supported, your jobs can use only one node and up to 96 maximum cores per node.

CPU job script  example

#!/bin/bash
#SBATCH --time=12:00:00 		       # expected run time (hh:mm:ss)
#SBATCH --partition=standard96:ssd     # Compute Nodes with installed local SSD storage
#SBATCH --mem=16G                      # memory, roughly 2 times %mem defined in the input name.com file
#SBATCH --cpus-per-task=16             # No. of CPUs, same amount as defined by %nprocs in the filename.com input file

module load gaussian/g16_revC02        

g16 < name.com                         # g16 command, input: filename.com, output: filename.log
 
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