Cheaha Quick Start
From UABgrid Documentation
(→Storage: added link to storage resources)
(→Software: Remove link to Cheaha Software page)
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These softwares can be included in a job environment using [http://modules.sourceforge.net/ environment modules]. Environment modules make environment variables modification easy and repeatable
These softwares can be included in a job environment using [http://modules.sourceforge.net/ environment modules]. Environment modules make environment variables modification easy and repeatable.
== Storage ==
== Storage ==
Revision as of 08:21, 30 September 2016
NOTE: This page is still under development. Please refer to Getting Started page for detailed documentation.
Cheaha is a shared cluster computing environment for UAB researchers. Cheaha offers total 110 TFLOPS compute power, 4.7 PB high-performance storage and 20 TB memory. See Hardware for more details on compute platform, but first let's get started with an example and see how easy it is to use.
If you have any questions about Cheaha usage then please contact Research Computing team at firstname.lastname@example.org .
More detailed login instructions are also available.
Most users will authenticate to Cheaha using their BlazerID and associated password using an SSH (Secure Shell) client. The basic syntax is as follows:
A shared cluster environment like Cheaha uses a job scheduler to run tasks on the cluster to provide optimal resource sharing among users. Cheaha uses a job scheduling system call SLURM to schedule and manage jobs. A user needs to tell SLURM about resource requirements (e.g. CPU, memory) so that it can schedule jobs effectively. These resource requirements along with actual application code can be specified in a single file commonly referred as 'Job Script/File'. Following is a simple job script that prints job number and hostname.
#!/bin/bash # #SBATCH --job-name=test #SBATCH --output=res.txt #SBATCH --ntasks=1 #SBATCH --time=10:00 #SBATCH --mem-per-cpu=100 #SBATCH --mail-type=FAIL #SBATCH --mail-user=$USER@uab.edu srun hostname srun sleep 60
Lines starting with '#SBATCH' have a special meaning in the SLURM world. SLURM specific configuration options are specified after the '#SBATCH' characters. Above configuration options are useful for most job scripts and for additional configuration options refer to SLURM commands manual. A job script is submitted to the cluster using SLURM specific commands. There are many commands available, but following three commands are the most common:
- sbatch - to submit job
- scancel - to delete job
- squeue - to view job status
We can submit above job script using sbatch command:
$ sbatch HelloCheaha.sh Submitted batch job 52707
When the job script is submitted, SLURM queues it up and assigns it a job number (e.g. 52707 in above example). The job number is available inside job script using environment variable $JOB_ID. This variable can be used inside job script to create job related directory structure or file names.
Cheaha's software stack includes many scientific computing softwares. Below is list of popular softwares available on Cheaha:
These softwares can be included in a job environment using environment modules. Environment modules make environment variables modification easy and repeatable.
During 2016, as part of the Alabama Innovation Fund grant working in partnership with numerous departments, 6.6PB raw GPFS storage on DDN SFA12KX hardware was added to meet the growing data needs of UAB researchers.
More Details can be found on the Storage Resources page.
Some applications use graphical interface to perform certain actions (e.g. submit buttons, file selections etc.). Cheaha supports graphical applications using an interactive X-Windows session with SLURMS sinteractive command. This will allow you to run graphical applications like MATLAB or AFNI on Cheaha. Refer to Interactive Resources for details on running graphical X-Windows applications.
If you have any questions about our documentation or need any help with Cheaha then please contact us on email@example.com . Cheaha is maintained by UAB IT's Research Computing team.