Difference between revisions of "Getting started"
From Montana Tech High Performance Computing
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| − | The HPC cluster's operating system is Rocky Linux 8. | + | The HPC cluster's operating system is Rocky Linux 8.6. Remote access is through ssh. |
After you log into hpc.mtech.edu for the first time, please change your initial password. This is done using the passwd command - you will be prompted for your old password and then your new password. | After you log into hpc.mtech.edu for the first time, please change your initial password. This is done using the passwd command - you will be prompted for your old password and then your new password. | ||
| − | When you connect to hpc.mtech.edu, you will be logged into the "head" node, aka the "management" or "login" node. You can compile and test programs, submit jobs, and view results on the head node. Computationally intensive work should be done on the "compute" nodes. Jobs are assigned to the compute nodes through the | + | When you connect to hpc.mtech.edu, you will be logged into the "head" node, aka the "management" or "login" node. You can compile and test programs, submit jobs, and view results on the head node. Computationally intensive work should be done on the "compute" nodes. Jobs are assigned to the compute nodes through the Slurm job scheduler. You request a portion of a compute node, an entire node, or multiple nodes for distributed programs. |
Check this wiki for software that is currently installed. You can compile and install software into your home directory or request software be installed for system wide use. If your data and software needs exceed 1 GB, then please let us know so a personal directory can be setup on the main [[Storage]] system - /data or /data1. Note: for users account created after August 2017 (except temporary accounts for classes), your home directory will be directly created on /data or /data1. So no need to request storage space. | Check this wiki for software that is currently installed. You can compile and install software into your home directory or request software be installed for system wide use. If your data and software needs exceed 1 GB, then please let us know so a personal directory can be setup on the main [[Storage]] system - /data or /data1. Note: for users account created after August 2017 (except temporary accounts for classes), your home directory will be directly created on /data or /data1. So no need to request storage space. | ||
Latest revision as of 11:29, 21 November 2023
The HPC cluster's operating system is Rocky Linux 8.6. Remote access is through ssh.
After you log into hpc.mtech.edu for the first time, please change your initial password. This is done using the passwd command - you will be prompted for your old password and then your new password.
When you connect to hpc.mtech.edu, you will be logged into the "head" node, aka the "management" or "login" node. You can compile and test programs, submit jobs, and view results on the head node. Computationally intensive work should be done on the "compute" nodes. Jobs are assigned to the compute nodes through the Slurm job scheduler. You request a portion of a compute node, an entire node, or multiple nodes for distributed programs.
Check this wiki for software that is currently installed. You can compile and install software into your home directory or request software be installed for system wide use. If your data and software needs exceed 1 GB, then please let us know so a personal directory can be setup on the main Storage system - /data or /data1. Note: for users account created after August 2017 (except temporary accounts for classes), your home directory will be directly created on /data or /data1. So no need to request storage space.
Below are the detailed instructions regarding to the aforementioned information.
Connecting to HPC
Detailed instructions on connecting to HPC, transferring files, changing your password.
Basic Linux Commands
Examples of commonly used Linux commands.
Running Jobs on HPC
Basic instructions on running calculations on HPC interactively or via job submission. You can also check more details on the Slurm page.