😀How to use HPC from department of Computer Science

Follow this tutorial to learn how to use HPC from depart of Computer Science

• Log in VPN to access the network of department of computer science.

follow this Guide

https://systems.cs.odu.edu/images/6/6b/VPN.pdf

• Use your cs account to log in by ssh

when you use ssh remote you need to install the extension ssh remote on the extension market

• when you want to run your code you need to set this kind of script

// Some code
#!/bin/bash -l
#SBATCH --job-name=frommaolei # job name
#SBATCH --account=slurmgeneral # only applicable if user is assigned multiple accounts
#SBATCH --ntasks=1 # commands to run in parallel
#SBATCH --output=frommaolei.log # output and error log
#SBATCH --error=frommaolei.err
#SBATCH --gres=gpu:1
#SBATCH --mem=64gb # request 1gb of memory
#SBATCH --nodelist=slurm-p100-collab
#SBATCH --mail-type=END,FAIL
#SBATCH --mail-user=[e-mail]

hostname

python3 test.py

These are the explanations for this command

Resource	Syntax	Example	Description
Account	--account=<account>	--account=slurmgeneral	entity which resources are charged to. available accounts
Partition	--partition=<partition>	--partition=slurm-general-01	where job resources are allocated. available partitions
Job Name	--job-name=<filename>	--job-name=testprogram	name of job to be queued
Task	--ntask=<number>	--ntask=2	useful for commands to be ran in parallel
Memory	--mem=<size>[units]	--mem=1gb	memory to be allocated for job
CPU	--cpus-per-task=<number>	--cpus-per-task=16	CPUs to be allocated per job task
Output	--output=<filename>	--output=testprogram.log	name of job output file
Time	--time=	--time=01:00:00	time limit for job