Research Guides: Data Services Class Descriptions: Using Slurm on Greene cluster

This tutorial provides a basic understanding of using Slurm and the HPC Greene cluster. Slurm is a cluster software layer built on top of the inter-connected nodes, aiming at orchestrating the nodes' computing activities, so that the cluster could be viewed as a unified, enhanced and scalable computing system by its users.

Software:	Slurm
Duration:	120 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:	Overview of Slurm Running batch jobs in R Running array jobs
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