AI Training Series - Introduction to the LRZ Linux Cluster

ATTENTION: Due to low demand of on-site participation this course will be organised as a pure online event!

Contents

In this course we will provide an introduction to the Linux Cluster, a high performance computing (HPC) system operated by the Leibniz Supercomputing Centre (LRZ).

First, a very short introduction to HPC systems in general and their characteristics will be provided. Then, the Linux Cluster at LRZ will be presented in detail with a focus on the different compute and storage systems that make up the cluster. Continued exploration will involve dedicated hands-on sessions. These will not only cover the basics (connecting to the cluster, navigating the file system), but also provide a good understanding of the cluster's critical components like the general software environment (including the Spack package manger) as well as the Slurm Workload Manger. Although the Linux Cluster needs to be considered a traditional HPC environment, the session will turn the spotlight on particular needs of the data analytics, machine learning and AI communities. Overall, this will empower participants to succesfully run select data analytics and machine learning jobs on the LRZ Linux Cluster.

The material will be presented as a combination of lectures, demos and hands-on sessions, with a focus on the latter. There will be breaks during the session.

There will be three content blocks of roughly one and a half hour each:

  • Overview of high performance computing systems for users of Bavarian universities (B)
  • HPC basics (system characteristics and cluster topology, levels of parallelism) (B)
  • Criteria and process for system access (B)
  • Data storage options (B)

  • Hands-on Linux Cluster: connecting and (file) system overview (B)
  • Environment modules (module list, show, available, load, unload) (B)
  • Software Environment: The Spack package manager (B)/(I)

  • Using containers with Charliecloud (B)/(I)
  • Basics of the Slurm Workload Manager and interactive usage (sinfo, salloc, srun) (B)
  • Job scripts and processing (sbatch) (B)/(I)
  • Job queue and accounting (squeue, sacct) (B)/(I)

Prerequisites

  • AI Training Series - Orientation Session
  • AI Training Series - Intro to Container Technology & Application to AI at LRZ

Hands-On

Hands-On sessions will be done on the LRZ Linux Cluster.

Content Level

The content level of the course is broken down as:

Beginner's content (B):

3,5h

78%

Intermediate content (I):

1,0h

22%

Advanced content (A):

0,0h

0%

Community-targeted content:

0,0h

0%

 

Language

English

Lecturers

Dr. Johannes Albert-von der Gönna, Nisarg Patel (all LRZ)

Prices and Eligibility

The course is open and free of charge for academic participants from Germany.

Registration

Please register with your official e-mail address to prove your affiliation.

Withdrawal Policy

See Withdrawal

Legal Notices

For registration for LRZ courses and workshops we use the service edoobox from Etzensperger Informatik AG (www.edoobox.com). Etzensperger Informatik AG acts as processor and we have concluded a Data Processing Agreement with them.

See Legal Notices

Course AI Training Series - Introduction to the LRZ Linux Cluster
Number hdta4s23
Available places 74
Date 09.05.2023 – 09.05.2023
Price € 0.00
Location ONLINE


Room
Registration deadline 03.05.2023 23:59
E-mail education@lrz.de
No. Date Time Leader Location Room Description
1 09.05.2023 10:00 – 16:00 Johannes Albert-von der Gönna
Nisarg Patel
ONLINE Lecture