Session 2.6 Software Containers for Scientific and High-Performance Computing

Date: Tuesday, June 24, 2025

Summary: Singularity is an open-source container engine designed to bring operating system-level virtualization to scientific and high-performance computing. With Singularity you can package complex computational workflows — software applications, libraries, and data — in a simple, portable, and reproducible way, which can then be run almost anywhere.

Presented by: Marty Kandes (mkandes @sdsc.edu )

Reading and Presentations:

• Lecture material:
• Source Code/Examples:

Download a container from a Docker registry.

srun-compute

export SINGULARITY_CACHEDIR="/scratch/$USER/job_$SLURM_JOB_ID"

[etrain102@exp-2-41 ~]$ module load singularitypro
[etrain102@exp-2-41 ~]$ module list

Currently Loaded Modules:
  1) shared   2) cpu/0.17.3b (c)   3) slurm/expanse/23.02.7   4) sdsc/1.0   5) DefaultModules   6) singularitypro/3.11

  Where:
   c:  built natively for AMD Rome

 

[etrain102@exp-2-41 ~]$

singularity build scipy-notebook.sif docker://quay.io/jupyter/scipy-notebook:latest

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