Research Guides: Data Services Class Descriptions: Singularity on Greene

This tutorial provides a basic understanding of using Singularity containers and its usage on the HPC Greene cluster. There will be hands-on examples on how to use Singularity for research, reproducibility, and python environments.

Software:	Singularity
Duration:	90 min
Room description:	Some tutorials are held remotely and require NYU sign on to access, while others are held in person, without a remote component. Please note the correct modality and location of the tutorial when registering
Prerequisites:	HPC user account (mandatory) Basic knowledge of Linux
Skills Taught / Learning Outcomes:	Basic knowledge of containers Create and update independent software environments Share containers in dockerhub and singularity hub How to use singularity containers with slurm
Class Materials:	Link to Class Materials
Related Classes:	Introduction to Unix/Linux and the Shell Big Data Tutorial 1: MapReduce Big Data Tutorial 2: Using Hive Big Data Tutorial 3: Introduction to Spark
Additional Training Materials:	https://sites.google.com/nyu.edu/nyu-hpc/training-support?authuser=0
Feedback:	bit.ly/feedbackds

Data Services Class Descriptions

Upcoming sessions for this tutorial