Sie befinden sich im Service: RWTH High Performance Computing (Linux)

Queue Partitions

Queue Partitions

Detailinformation

The CLAIX hardware is organized in the batch system as queues or partitions of nodes. Each partition consists of a collection of node types with similar specifications.

The following table shows how the various node types are organized in partitions that can be selected within Slurm.

Abbreviations:

  • p.N. - per Node
  • all CPU Codename are meant to be 'Intel', if not anything to the contrary
  • Value '#Cores per Node' mean the physical cores (not Hyperthreading 'CPUs' reported in the OS system). By default the HyperThreading is OFF on our nodes; for those few with HT=ON remarks are posted here.
Slurm informationNode informationCluster information
Node TypePartitionFeaturesmax recomm. memory per node [MB]default memory per task [MB]Hardware Node TypeCPU CodenameCPU ModelClock Speed [GHz]#Nodes#Sockets per Node#Cores per Socket#Cores per NodeMemory per Node [GB]SSD/
HDD
size [GB]
Sum SocketsSum CoresSum Memory [GB]Beginning of operation
ncmc18mskylake, skx8160, hpcwork187.2003.900Intel HNS2600BPBSkylakePlatinum 81602.11.0322 (Stern)24 (Stern)

48

1924802.06449.536198.144December 2018
nrmc18mskylake, skx8160, hpcwork187.2003.900Intel HNS2600BPBSkylakePlatinum 81602.12112 (Stern)24 (Stern)4819248042210.12840.512February 2019
ncgc18gskylake, skx8160, hpcwork187.2003.900

Supermicro 1029GQ-TVRT-01
2 x Tesla V100

SkylakePlatinum 81602.1482 (Stern)24 (Stern)48192480962.3049.216March 2019
nrgc18gskylake, skx8160, hpcwork187.2003.900

Supermicro 1029GQ-TVRT-01
2 x Tesla V100

SkylakePlatinum 81602.16(Stern)24 (Stern)48192480122881.152March 2019
 

(Stern) SubNUMAClustering enabled for Skylake CPUs, which means, there exist 4 NUMA nodes with 12 cores each. Slurm interpretes these NUMA nodes as sockets, therefore these nodes have 4 sockets and 12 cores per socket.

Further systems are integrated into the RWTH High Performance Computing through the Integrative hosting service.

zuletzt geändert am 12.09.2023

Wie hat Ihnen dieser Inhalt geholfen?

Creative Commons Lizenzvertrag
Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 3.0 Deutschland Lizenz