This guide provides instructions for how to use Visual Studio Code (VS Code) through Open OnDemand on the HPCC, allowing web-based real-time coding, debugging, visualization or smaller real-time interaction tasks. If unsure about resource needs, start with an interactive session to test your job, then scale up with sbatch for production runs. Always monitor and […]
RStudio Server is an IDE for R and Python, featuring a console, syntax-highlighting editor, and tools for plotting, debugging, and workspace management. This guide provides instructions for using RStudio Server via Open OnDemand (OOD), a web interface for running interactive Software on HPCC. Steps to Launch RStudio Open web browser and navigate to Open OnDemand […]
When working with shared data folders, especially when multiple users are copying data simultaneously, choosing the right command for file operations is crucial. To improve the stability and efficiency of the data folder, it is recommended to use the “cp” command instead of “rsync” or “mv”. Why Use the “cp” Command? The “cp” command is […]
To optimize your job performance on the HPCC, it recommend using faster SSD storage directories, such as /scratch, /scratch2, or /scratch3, for your temporary working files. These directories are equipped with Solid State Drives (SSD), which provide faster access times and superior data transfer rates. Each of these directories offers 5TB of storage space, accommodating […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]