Acknowledgement the HPCC in Research Publications

Acknowledging the support of the High Performance Computing Cluster (HPCC) in your research report, journal, or publications is essential. This recognition demonstrates the value and impact of the HPCC on your research, which is important for us in acquiring additional funding and resources. The recommended acknowledgement for publications is as follows: The author(s) of the […]

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What is the Storage Quota Limit in HPCC?

By default, each user is allocated a Home directory (/icto/user/$USER) and a Data directory (/data/home/$USER) for data storage. Additionally, three scratch directories (/scratch, /scratch2, /scratch3) are available for temporary storage during job execution. For FHS users, the Data directory is located at (/home/$USER). Faculty members and PIs have the option to purchase additional disk storage […]

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How to use Singularity Containers on HPCC?

Singularity (https://sylabs.io/singularity/) enables users to have full control of their environment. Singularity containers can be used to package entire scientific workflows, software and libraries, and even data. This means that you don’t have to ask your cluster admin to install anything for you, you can put it in a Singularity container and run. Did you […]

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How to use Job Composer to clone a Job from a Selected Job on HPCC?

The Job Composer allows you to create and manage batch job submissions through a web interface. To create jobs through Open OnDemand dashboard (https://login2.coral.um.edu.mo/), navigate to  Jobs  >  Job Composer  from the dashboard. Creating a Job from Selected Job: To create a new job based on an existing one, select  New Job  >  From Selected […]

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How to use Job Composer to create a Job from a Specified Path on HPCC?

The Job Composer allows you to create and manage batch job submissions through a web interface. To create jobs through Open OnDemand dashboard (https://login2.coral.um.edu.mo/), navigate to  Jobs  >  Job Composer  from the dashboard. Creating a Job from Specified Path: When creating a job from a specified path, please ensure that your scripts are present in […]

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How to use Job Composer to create a Job from a Template on HPCC?

The Job Composer allows you to create and manage batch job submissions through a web interface. To create jobs through Open OnDemand dashboard (https://login2.coral.um.edu.mo/), navigate to  Jobs  >  Job Composer  from the dashboard. Creating a Job from a Template: On the Job Composer page, you can create a job from different templates. Simply navigate to […]

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How to use Interactive Software MATLAB on HPCC?

In the Open OnDemand dashboard (https://login2.coral.um.edu.mo/), you can launch an interactive Software MATLAB on a compute node within HPCC Coral using the noVNC client through a web browser. This allows you to have full access to the resources provided by these nodes. To launch a noVNC session, click on the  MATLAB icon on the dashboard. […]

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How to use Interactive Software Jupyter Notebooks on HPCC?

In the Open OnDemand dashboard (https://login2.coral.um.edu.mo/), you can launch an interactive Software Jupyter Notebooks on a compute node within HPCC Coral using the noVNC client through a web browser. This allows you to have full access to the resources provided by these nodes. To launch a noVNC session, click on the  Jupyter Notebooks  icon on […]

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How to use Interactive Desktop on HPCC?

In the Open OnDemand dashboard (https://login2.coral.um.edu.mo/), you can launch an interactive desktop on a compute node within HPCC Coral using the noVNC client through a web browser. This allows you to have full access to the resources provided by these nodes. To launch a noVNC session, Select  Interactive Desktop  and then choose a  PARTITION  (e.g., […]

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How to check the Jobs Status on HPCC?

In the Open OnDemand dashboard (https://login2.coral.um.edu.mo/), you can access the Web-Based Active Jobs by selecting  Jobs  and then choosing  Active Jobs  from the menu, or simply clicking on the icon on the dashboard. It will display a list of your queued and running batch jobs on the cluster. You can easily  Filter  and  Sort  the […]

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