Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes
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:

During the Fall 2021 semester, 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:
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/a/nyu.edu/nyu-hpc/home?authuser=0

Feedback: bit.ly/feedbackds

Upcoming sessions for this tutorial