Gaussian 16 Linux [upd] ★ Exclusive

Navigate to your desired installation directory (e.g., /usr/local or /opt ) and extract the source package.

To enable GPU acceleration, include the %GPUCPU=... and %GPU=... directives in your input file and request a GPU in the batch script ( #SBATCH --gres=gpu:1 ). Before running, enable ECC on professional GPUs:

sudo chgrp -R gaussianusers /usr/local/g16 gaussian 16 linux

This script divides a 128-core node into 4 independent jobs, each using 32 cores on its own dedicated partition.

Clear old files in GAUSS_SCRDIR or point to a larger partition. Inconsistent number of processors %nprocshared mismatch with submission script. Ensure %nprocshared matches your SLURM --ntasks value. Convergence failure Complex electronic structure. Navigate to your desired installation directory (e

g16 < input.com > output.log

tar -zxvf g16c01.tar.gz

to your environment (e.g., in ~/.bashrc or the job script).

Water single point optimization

Then, source the file to apply the changes:

#!/bin/bash #SBATCH --job-name=G16_Job # Job name #SBATCH --nodes=1 # Number of nodes #SBATCH --ntasks=1 # Number of MPI tasks #SBATCH --cpus-per-task=12 # Number of CPU cores per task #SBATCH --mem=75G # Memory per node #SBATCH --time=24:00:00 # Time limit #SBATCH --output=%x.%j.out # Output file #SBATCH --error=%x.%j.err # Error file directives in your input file and request a