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Cluster Lovelace - Instituto de Física UFRGS

The cluster is located at Instituto de Física da UFRGS, in Porto Alegre.

Management Committee

The cluster is managed by professors representing the fields of Astronomy, Theoretical Physics, and Experimental Physics, in addition to an IT department employee from the Physics Institute.

Astronomy: Rogério Riffel

Theoretical Physics: Leonardo Brunnet

Experimental Physics: Pedro Grande

TI employee: Gustavo Feller

Users Committee

Users have two channels for communication/discussion: 

1) The mailing list

2) Direct messages to the IT department via the email


Management Software

The system of queues and scheduling of tasks is controlled by the Slurm Workload Manager.

Number of jobs per user controlled on demand.

Number of users on 1/24/2023: 150

Account request: mail to

Hardware in lovelace nodes

CPU: Ryzen (32 and 2*24 cores) + AMD 16 cores
RAM: 64 GB each
GPU: Three nodes with NVIDIA CUDA
Storage: storage Dell 12TB 
Conection inter-nodes: Gigabit

Installed Software

OS: Debian 12 
Basic packages installed:
python: torch, numba

Rules for scheduling, access control, and usage of the research infrastructure

Online scheduling

The cluster is accessible using the UFRGS virtual prived network (vpn) through server

To access through a unix-like system use:

ssh <user>

Under windows you may configure winscp to enter the address

If you are not registered, ask for registration sending an email to

Using softwares in the cluster

To execute a software in a cluster job this program must:

1. Be already installed


2. Be copied to the user home


scp my_programm <user>

If you are compiling your program in the cluster, one option is to use gcc.


scp -r source-code/
ssh <user>
cd source-code
gcc main.c funcoes.c

This will generate file a.out, which is the executable.

Being accessible by methods 1 or 2, the program can be executed in the cluster through one JOB.

OBS: If you execute your executable without submitting as JOB, it will be executed in the server, not in the nodes. This is not recommended since the server computational capabilities are limited and you will be slowing down the server for everyone else.

Criating and executing a Job

Slurm manages jobs and each job represents a program or task being executed.

To submit a new job, you must create a script file describing the requisites and characteristics of the Job.

A typical example of the content of a submission script is below


#SBATCH -n 1 # Number of cpus to be allocated (Despite the # these SBATCH lines are compiled by the slurm manager!)
#SBATCH -N 1 # Nummber of nodes to be allocated  (You don't have to use all requisites, comment with ##)
#SBATCH -t 0-00:05 # Limit execution time (D-HH:MM)
#SBATCH -p long # Partition to be submitted
#SBATCH --qos qos_long # QOS 
# Your program execution commands

In option --qos, use the partition name with "qos_" prefix:

partition: short -> qos: qos_short -> limit 2 weeks

partition: long -> qos: qos_long -> limit de 3 month

If you run on GPU, specify the "generic resource" gpu in cluster ada:

#SBATCH -n 1 
#SBATCH -t 0-00:05 
#SBATCH -p long 
#SBATCH --qos qos_long # QOS 
#SBATCH --gres=gpu:1
# Comandos de execução do seu programa:

To ask for a specific gpu:

#SBATCH --constraint="gtx970"

To submit the job, execute:


Usefull commands

  • To list jobs:
  • To list all jobs running in the cluster now:
 sudo squeue
  • To delete a running job:
 scancel [job_id]
  • To list available partitions:
  • To list gpu's in the nodes:
 sinfo -o "%N %f"
  • To list characteristic of all nodes:
 sinfo -Nel