Resources
Resources
Information on infrastructure, code, datasets that may be relevant to other research
Basic Characteristics
Giskard is currently equipped with six computing nodes with 40 CPUs at 2.20GHz and 94.57GB of RAM, and one headnode with 4 CPUs at 1.87GHz and 15.70GB of RAM, totaling 244 processors and over 500GB of RAM. The cluster runs the CentOS Linux system and is an installation of the RocksCluster framework (http://www.rocksclusters.org/wordpress/). The system includes all the main packages and libraries for high-performance computing, and LAC offers limited support for the installation of specific software.
Requesting an Account
To request an account on the cluster, the applicant must:
in the case of a student, be associated with a research project via Scientific Initiation, Master's or Doctorate;
In the case of researchers, submit a brief project proposal specifying your needs and how the cluster will meet them, also specifying how long you require the equipment;
Projects using the cluster will be published on this website.
Monitoring Processes
Cluster users can monitor the execution of their processes by accessing their account or via Ganglia at: https://giskard.unifei.edu.br/ganglia/
We recommend that all users check this website to determine the cluster load at any given time to avoid unnecessary job overlap. The queue mode is not yet implemented, and therefore we rely on the collaboration of all users to achieve the best shared use of the equipment.
To properly acknowledge the use of our resources, all collaborators and researchers are required to include a formal citation in their publications. Recognizing the laboratory’s role is essential for maintaining the grants from CAPES, CNPq, and FAPEMIG that support our clusters and infrastructure.
Please use the following text in the acknowledgments section of your work:
"This work has made use of the computing facilities available at the Laboratory of Computational Astrophysics of the Universidade Federal de Itajubá (LAC-UNIFEI). The LAC-UNIFEI is maintained with grants from CAPES, CNPq and FAPEMIG."
If you have additional questions regarding the citation protocol or need specific details about the hardware used for your simulations, please contact us directly at lac@unifei.edu.br.