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| <<BR>><<BR>><<BR>> ---------- <<BR>><<BR>><<BR>> <<TableOfContents(3)>> = 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: * [[Services/SLURM|Computing wiki main Slurm article]] == Courses with access == ||'''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 || || * '''No''': Details of courses are listed in the [[https://www.vorlesungen.ethz.ch/|ETH course catalogue]] * '''# GPUs''': The maximum amount of GPUs a course may use concurrently at any given time == Setting environment == The environment variable SLURM_CONF needs to be set to point to the configuration of the Snowflake cluster: {{{#!highlight bash numbers=disable export SLURM_CONF=/home/sladmsnow/slurm/slurm.conf }}} |
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| ||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|| | ||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|| |
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
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:
Courses with access
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 |
|
No: Details of courses are listed in the ETH course catalogue
# GPUs: The maximum amount of GPUs a course may use concurrently at any given time
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 |