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Computer clusters of Reactor Engineering Division

To solve complex computational intensive problems which need a lot of processing power and memory we use computer cluster Razor, computer cluster Krn and computer cluster Mangrt. Computer cluster consists of computational nodes where several processor cores share memory. This allows us to solve problems in parallel and significantly reduce the computation time.

Overview

 MangrtKrnRazor
purchase (upgrades) 2007 (2007) 2010 (2011, 2012) 2014 (2014, 2015)
∑nodes 19 51 50
processor Xeon 5160
3.00 GHz, 4M Cache
Xeon X5650/X5670/X5675
2.9GHz, 3.0 GHz, 12MB Cache
Xeon E5-2680 v2/E5-2697 v2/E5-2697 v3 2.8(3.6)/2.7(3.5)/2.6(3.6) GHz
25/30/35 MB Cache
cores/node (HT) 2-8 12 (24) 20 (40) / 24 (48) / 28 (56)
∑cores (HT) 100 616 1096
tot. memory 0.26 TB 2.04 TB 8.386 TB
GPUs / 17 /
storage 4 TB 17 TB 96 TB
Interconnect GB Eth QDR IB + GB Eth FDR IB + GB Eth
OS RHEL 4 SLES 11 SP1 SLES 11 SP2
UPS 10kVA 2x20kVA 2x20kVA

Layout

Shema povezav gruč

Computer cluster Razor

Computer cluster Razor has a total of 50 compute nodes with 1096 processor cores, head node and storage node. With Hyper-Threading the compute nodes are capable of running up to 2192 parallel tasks. Compute nodes have 8368GB of memory in total. A dedicated node is used to store data on 96 TB disk array. InfiniBand FDR technology allows for high throughput and low latency link between computational nodes.

Detailed specifications of cluster Razor:

  • head node:
    • processors: 2x Intel(R) Xeon(R) CPU E5-2680 v2 @ 2.80GH, 10 cores each (x2 HT)
    • memory: 128GB DDR3 @ 1866 MHz
    • graphical card: nVidia Quadro K6000, 12GB GDDR5, 2880 Cuda cores
    • disk: 4 (450GB 15k7 HITACHI) system disks (for / /boot /data1): Σ820GB @ RAID 1
    • 2x FDR Infiniband HCA's
  • storage node:
    • disk array: 2 chassis with Σ21 4TB (WD) disks
    • disk array: storage node chassis with embeded 11 4TB (WD) disks
    • NFS storage server: 40 TB
    • 2x FDR Infiniband HCA's
  • 30 compute nodes:
    • processors: 2x Intel(R) Xeon(R) CPU E5-2680 v2 @ 2.80GHz, 10 cores each (x2 HT)
    • memory: 128GB DDR3 @ 1866 MHz
    • disk: 4 450GB 15k7 system disks (for / /boot /scratch): Σ1,6TB @ RAID 0
    • FDR Infiniband HCA
  • 16 compute nodes:
    • processors: 2x Intel(R) Xeon(R) CPU E5-2697 v3 @ 2.60GHz, 14 cores each (x2 HT)
    • memory: 256GB DDR4 @ 1866 MHz
    • disk: 3x600GB 10k system disks (for / /boot /scratch): Σ1,8TB @ RAID 0
    • FDR Infiniband HCA (56 Gb/s)
  • 2 compute nodes:
    • processors: 2x Intel(R) Xeon(R) CPU E5-2680 v2 @ 2.80GHz, vsak 12 jeder (x2 HT)
    • memory: 128GB DDR3 @ 1866 MHz
    • disk: 4 450GB 15k7 system disks (for / /boot /scratch): Σ1,6TB @ RAID 0
    • FDR Infiniband HCA
  • Infiniband FDR switch
    • 36 port
    • data transfer: 54,54Gbit/s @ 64/66 bit wrapping
    • bandwidth: 5.75GB/s
    • latency: 4us
  • Gigabit ethernet switch
  • Alternative power source: UPS, 2x20 kW
  • Operating system: Suse Linux Enterprise Server 11 Service pack 2

Computer cluster Krn

oprema1s

oprema1s

Computer cluster Krn has a total of 50 nodes with 600 processor cores with Hyper-Threading technology and can run up to 1200 parallel processes. Sixteen nodes are equipped with GPU modules. Together with CUDA technology this enables further optimization of computational time. Cluster nodes have 2040 GB memory in total. For permanent storage of data 17 TB disk array is available. InfiniBand technology allows for high throughput and low latency link between computational nodes.

Detailed specifications of SGI cluster are:

  • head node SGI Altix XE 270:
    • processors: 2x Intel Xeon 5650 @ 2.67 GHz, 6 cores each (x2 HT)
    • memory: 72 GB
    • graphical card: NVidia Quadro FX 3800
    • system disk:2x 150 GB @ 15000 rmp, RAID1
    • infiniband QDR 4x interconnect
  • visualisation server "Kanin"
    • NVidia Quadro 6000 (448 CUDA cores, 6GB memory)
    • two 8-core processors and 128GB memory
    • 4 x 400GB SAS @ 15000 rpm, RAID 0 and 1
    • infiniband QDR 4x interconnect
  • 6 compute nodes with 96 GB of memory SGI Altix XE 270:
    • processors: 2x Intel Xeon 5670 @ 2.93 GHz, 6 cores each (x2 HT)
    • memory: 96GB
    • system disk: 150GB SAS @ 15000 rmp
    • scratch disk: 5x146GB SAS @ 15000 rmp, RAID0
    • infiniband QDR 4x interconnect
  • 5 compute nodes with 24 GB memory SGI Altix XE 270:
    • processors: 2x Intel Xeon 5650 @ 2.67 GHz, 6 cores each (x2 HT)
    • memory: 24GB
    • system disk: 150GB SAS @ 15000 rpm
    • scratch disk: 5x150GB @ 15000 rmp, RAID0
    • infiniband QDR 4x interconnect
  • 22 compute nodes SGI Altix C1104-2TY9: oprema3s
    • processors: 2x Intel Xeon 5670@2.93 GHz, 6 cores each (x2 HT)
    • memory: 24 GB
    • system disk: 300GB SAS @ 15000 rpm
    • scratch disk: 300GB SAS @ 15000 rpm
    • infiniband QDR 4x interconnect
  • compute node with GPU module:
    • processors: 2x Intel Xeon X5675@3.07GHz, 6 cores each (x2 HT)
    • memory: 24 GB
    • system and scratch disk: 3x 300GB SATA
    • GPU: Tesla M2075 (448 CUDA cores, 6GB memory)
    • infiniband QDR 4x interconnect
  • 15 compute nodes with GPU module:
    • processors: 2x Intel Xeon X5675@3.07GHz, 6 cores each (x2 HT)
    • memory: 48 GB
    • system and scratch disk: 3x 300GB SAS @ 15000 rpm, RAID0
    • GPU: Tesla M2075 (448 CUDA cores, 6GB memory)
    • infiniband QDR 4x interconnect
  • shared disk array: 17 TB, RAID6
  • 2x Gigabit switch
  • 2x QDR 1U 40Gb/s 36 port InfiniBand switch
    (Mellanox IS5030 and Voltaire 4036) oprema2s
  • KVM switch, direct graphical access to nodes
  • alternative power source: UPS system, 20kVA
  • operating system: SUSE Linux Enterprise Server 11 (x86_64)

Computer cluster Mangrt

Mangrt is the precursor of computer cluster Krn. The cluster has 13 nodes with a total of 52 processor cores and 104 GB of memory. Each node contains two Intel Xeon 5160@3.00 GHz (4M L2 Cache), 8GB memory with system and scratch disk. Permanent storage of data is possible via network connection to the disk array of cluster Krn.

More information about computer cluster Mangrt can be found at RCP pages.

Page editor: Matej Tekavčič

 

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