The Tufts High Performance Compute (HPC) cluster delivers 35,845,920 cpu hours and 59,427,840 gpu hours of free compute time per year to the user community.

Teraflops: 60+ (60+ trillion floating point operations per second) cpu: 4000 cores gpu: 6784 cores Interconnect: 40GB low latency ethernet

For additional information, please contact Research Technology Services at tts-research@tufts.edu


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Gaussian and Gaussian are computational chemistry software which allow modeling of complex chemical reactions and substances at high levels of accuracy. Software is used by chemists, chemical engineers, materials scientists, and other researchers worldwide. 

For more information about Gaussian and GaussView, visit the vendor page at www.gaussian.com

Getting Started with Gaussian

Step 1

Write a sample input script for gaussian g09. This file will be used by gaussian to describe the problem.

Example: benz_g09.com

Step 2

Write a SLURM submission script to run gaussian on the cluster.

Example: example_g09.sh

The SBATCH directives set up the resources for SLURM to allocate. Within the script files are created that gaussian requires, particularly sourcing the g09.profile which sets up the enviroment for gaussian to function.

#!/bin/bash
#SBATCH -J G09
#SBATCH --time=01:00:00
#SBATCH --partition=batch
#SBATCH --mem-per-cpu=4000
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=4
#SBATCH --error=GaussianJob.%J.stderr
#SBATCH --output=GaussianJob.%J.stdout

nodelist > ./machines.LINUX
echo $SLURM_JOB_ID > ./jobid
module load gaussian/g09
source ${g09root}/g09/bsd/g09.profile
export GAUSS_SCRDIR=$TMPDIR
g09 benz_g09.com

Step 3

Submit the submission script to SLURM

Submit the Gaussian Script
sbatch example_g09.sh

 

For a more detailed overview of Gaussian please contact tts-research@tufts.edu for information regarding future workshops.

 

 

 

 

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