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||'''Institute'''||'''Lecturer''' ||'''Course''' ||'''No''' ||'''Semester'''||'''# Students'''||'''# GPUs'''||
||CVL ||E. Konukoglu, E. Erdil, M. A. Reyes Aguirre||Medical Image Analysis ||227-0391-00L||FS ||90 || >30 ||
||CVL ||C. Sakaridis ||Computer Vision and Artificial Intelligence for Autonomous Cars ||227-0560-00L||HS ||90 || >30 ||
||CVL ||F. Yu ||Robot Learning ||227-0562-00L||FS ||30         || 120 ||
||CVL ||L. Van Gool ||P&S: Deep Learning for Image Manipulation (DLIM) ||227-0085-11L||HS ||15 ||            ||
||IBT ||J. Vörös ||P&S: Controlling Biological Neuronal Networks Using Machine Learning||227-0085-38L||HS || ||            ||
||TIK ||R. Wattenhofer ||P&S: Hands-On Deep Learning ||227-0085-59L||FS+HS ||40 ||            ||		 ||'''Institute'''||'''Lecturer''' ||'''Course''' ||'''No''' ||'''Semester'''||'''# Students'''||
||CVL ||E. Konukoglu, E. Erdil, M. A. Reyes Aguirre||Medical Image Analysis ||227-0391-00L||FS ||90 ||
||CVL ||C. Sakaridis ||Computer Vision and Artificial Intelligence for Autonomous Cars ||227-0560-00L||HS ||90 ||
||CVL ||F. Yu ||Robot Learning ||227-0562-00L||FS ||30 ||
||CVL ||L. Van Gool ||P&S: Deep Learning for Image Manipulation (DLIM) ||227-0085-11L||HS ||15 ||
||IBT ||J. Vörös ||P&S: Controlling Biological Neuronal Networks Using Machine Learning||227-0085-38L||HS || ||
||TIK ||R. Wattenhofer ||P&S: Hands-On Deep Learning ||227-0085-59L||FS+HS ||40 ||
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 * '''# GPUs''': The maximum amount of GPUs a course may use concurrently at any given time

Slurm Student Course Cluster "Snowflake"

This is the landing page for the Slurm cluster Snowflake, which will be available for official student courses at the beginning of the spring semester 2024.

Complete content will be ready in time.







Contents

  1. Slurm Student Course Cluster "Snowflake"
  2. Snowflake Slurm cluster
    1. Course information
      1. Courses with access
      2. Requesting course accounts
    2. Cluster information
      1. Access prerequisites
      2. Setting environment
      3. Hardware
      4. Partitions
      5. Fair share
    3. Slurm account check

Snowflake Slurm cluster

The Snowflake Slurm cluster is reserved and availabe only for official student courses

The following information is an addendum to the main Slurm article in this wiki specific for usage of the Snowflake cluster. Consult the main Slurm article if the information you're looking for isn't available here:

Course information

Courses with access

The following table shows courses which are currently registered to access the Snowflake cluster:

Institute

Lecturer

Course

No

Semester

# Students

CVL

E. Konukoglu, E. Erdil, M. A. Reyes Aguirre

Medical Image Analysis

227-0391-00L

FS

90

CVL

C. Sakaridis

Computer Vision and Artificial Intelligence for Autonomous Cars

227-0560-00L

HS

90

CVL

F. Yu

Robot Learning

227-0562-00L

FS

30

CVL

L. Van Gool

P&S: Deep Learning for Image Manipulation (DLIM)

227-0085-11L

HS

15

IBT

J. Vörös

P&S: Controlling Biological Neuronal Networks Using Machine Learning

227-0085-38L

HS

TIK

R. Wattenhofer

P&S: Hands-On Deep Learning

227-0085-59L

FS+HS

40

Requesting course accounts

Course accounts have to be requested with enough time for preparation, from ISG's side and the course coordinator's side. Factor in time to test a course setup after accounts have been set up.

Latest 4 weeks before course begin, course coordinators have to hand in a request for course accounts containing the following information:

  • Amount of course accounts needed

  • Whether course accounts need access to net_scratch or a ISG managed institute NAS (those are mutually exclusive)

  • Quota (available disk space) per account. The default is 2 GB, maximum is 10 GB.
  • Whether a master account to provide course data to students is needed

  • At which date course account contents may be deleted (latest possible date: End of examn session of the semester the course takes place

Notes:

  • Course coordinators will receive the list of course account passwords for distribution to course participants
  • Course coordinators are responsible to keep a list mapping course participant names to course accounts

Cluster information

Access prerequisites

  • user-account member of a slurm account
  • isg managed pc (tardis, institute, login)

Setting environment

The environment variable SLURM_CONF needs to be set to point to the configuration of the Snowflake cluster: 

export SLURM_CONF=/home/sladmsnow/slurm/slurm.conf

Hardware

Server

CPU

Frequency

Physical cores

Logical processors

Memory

/scratch SSD

/scratch Size

GPUs

Operating System

snowflake[01-09]

Intel Xeon Gold 6240

2.60 GHz

36

36

376 GB

✓

1.8 TB

8 GeForce RTX 2080 Ti (11 GB)

Debian 11

Partitions

Name

Function

Runtime

gpu.normal

batch/interactive jobs

24/4h

gpu.interactive

interactive jobs only

8h

  • example partition/node info command

Fair share

  • all resources are availabe to all courses, fairly shared by usage
  • if course booked gpu.interactive, interactive jobs may run there

Slurm account check

  • which account do I have
  • how to check if my course has gpu.interactive:

Services/SLURM-Snowflake (last edited 2024-05-16 10:23:01 by stroth)