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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. 

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GPUs are effective for DFT calculations, for both the ground and excited states for larger molecules. They However, they are not effective for small jobs, and also not used effectively by smaller jobs or for use in post-SCF calculations such as MP2 or CCSD.

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Default runtime files (.rwf, .inp, .d2e, .int, .skr files) will be saved only temporarily in $ $LOCAL_TMPDIR on the compute node where to which 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 finished (successful or not), please define the checkpoint (file_name.chk) file in your G16 input file (%Chk=route/route/name.chk).

CPU jobs

Since Because 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/16.C02 

g16 filename.com                       # g16 command, input: filename.com
 

GPU jobs

Since Because only the "shared-memory multiprocessor" parallel version is supported, your jobs can use only one node up to 4 GPUs per node. 

#!/bin/bash 
#SBATCH --time=12:00:00 		       # expected run time (hh:mm:ss)
#SBATCH --partition=gpu-a100           # Compute Nodes with installed local SSD storage
#SBATCH --nodes=1                      # number of compute node
#SBATCH --mem=32G                      # memory, roughly 2 times %mem defined in the input name.com file
#SBATCH --ntasks=32                    # No.CPUs plus the number of control CPUs same amount as defined by %cpu in the filename.com input file 
#SBATCH --gres=gpu:4                   # No. GPUs same amount as defined by %GPUCPU in the filename.com input file   

module load cuda/11.8
module load gaussian/16.C02   

g16 filename.com                       # g16 command, input: filename.com 

Specifying GPUs & Control CPUs for a Gaussian Job

The %GPUCPU Link 0 command specifies which GPUs and associated controlling CPUs to use for a calculation and their controlling CPUs are specified with the %GPUCPU Link 0 command. This command takes one parameter:

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Restart calculations from checkpoint files 

opt=restart 

Restart molecular Molecular geometry optimization jobs can be restarted from a checkpoint file. All existing information; basis sets, wavefunction and molecular structures during the geometry optimization can be read from the checkpoint file.

%chk=filename.chk
%mem=16GB
%nprocs=16
# method chkbasis guess=read geom=allcheck opt=restart  

 #restart

Restart The same restarting can be done for vibrational frequency computation from the checkpoint filecomputations.

%chk=filename.chk
%mem=16GB
%nprocs=16
# restart  

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