GPU servers and parallel hardware at RGNC

Contents




1. Servers

We currently hold four GPU computing servers, named after the four highest peaks in Spain: Teide (3715m, Canary Islands), Mulhacen (3479m, Granada), Aneto (3404m, Huesca), Veleta (3396m, Granada).

Note: We are still working on the configuration of the servers, so more libraries are going to be installed soon...


Teide:

  • Supermicro (A+ SuperWorkstation 5014A-TT)
  • CPU: 16 cores (1-socket 16-core 32-Threads) AMD(R) Ryzen Threadripper(TM) PRO 3955WX CPU @ 3.90GHz
  • Main memory: 32 GBytes DDRR4 @ 3200 MHz
  • Disk memory: 480GB SSD for /, 2TB HDD for /data (please, store here your datasets)
  • GPUs:
    • 1 x NVIDIA RTX3090 - 10496 cores (82 SMs x 128 SPs) @ 1.775Ghz, 24 GBytes GDDR6 (provided by our R&D project MABICAP)
    • CUDA 11.6
  • Operating system: Linux CentOS 7.9 64 bits
  • Software libraries through CernVM-FS


Mulhacen:

  • Even gaming
  • CPU: 8 cores (2-socket 4-core) Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz
  • Main memory: 32 GBytes DDRR4 @ 2133 MHz
  • Disk memory: 354GB SSD for /home, 1TB HDD for /data (please, store here your datasets), 100GB SSD for /
  • GPUs:
    • 2 x NVIDIA RTX2080 - 2944 cores (46 SMs x 64 SPs) @ 1.85Ghz, 8 GBytes GDDR5 (provided by our R&D project MABICAP)
    • CUDA 11.6
  • Operating system: Linux CentOS 7.9 64 bits
  • Software libraries through CernVM-FS


Aneto:

  • Even Server Xeon
  • CPU: 4 cores (with Hyperthreading, up to 8 "virtual" cores) Intel i5 Xeon E3-1230V3 @ 3.30GHz
  • Main memory: 32 GBytes DDR3 @ 2400Mhz
  • Disk memory: 840GB HDD for /home, 100GB SSD for /
  • GPUs:
    • 1 x NVIDIA Tesla K40c - 2880 cores (15 SMXs x 192 SPs) @ 0.88Ghz, 12 GBytes GDDR3 (provided by NVIDIA under the CUDA Research Center program)
    • 1 x NVIDIA GeForce GTX 780 Ti - 2880 cores (15 SMXs x 192 SPs) @ 0.93Ghz, 3 GBytes GDDR3 (provided by our R&D projects).
    • CUDA 10.1
  • Operating system: Linux CentOS 7.9 64 bits
  • Software libraries through CernVM-FS


Veleta (login node):

  • Supermicro Server 7046GT-TRF
  • CPU: 8 cores (2-socket 4-core) Intel i5 Nehalem E5504 @ 2.00GHz
  • Main memory: 12 GBytes DDR3 @ 1333Mhz
  • Disk memory: 175GB HDD for /home, 230GB HDD for /data (please, store here your datasets), 56GB HDD for /
  • GPUs:
    • 3 x NVIDIA Tesla C1060 - 240 cores (30 SMs x 8 SPs) @ 1.30Ghz, 4 GBytes GDDR3 (provided by our R&D projects)
    • 1 x NVIDIA GeForce GTX 550 Ti - 192 cores (4 SMs x 48 SPs) @ 1.90Ghz, 1 GBytes GDDR3 (provided by Manuel García). Sorry, this GPU was removed temporally to be used in other PC.
    • CUDA 6.5
  • Operating system: Linux CentOS 7.9 64 bits
  • Software libraries through CernVM-FS

Linux

CentOS

Ubuntu

NVIDIA CUDA

CernVM File System

Slurm




2. GPU for mobility hardware


Jetson TX2 Development Kit:

  • GPU: NVIDIA Pascal GPU with 256 CUDA cores
  • CPUs: 64-bit NVIDIA Denver and ARM Cortex-A57
  • Main memory: 8GB LPDDR4




3. Funding and Acknowledgments

Teide and Mulhacen GPU servers at RGNC were provided by MABICAP project: FEDER/Ministerio de Ciencia e Innovación – Agencia Estatal de Investigación/ _Proyecto (TIN2017-89842-P).

The Aneto GPU server at RGNC was provided by the R&D project TIN2012-37434 (funded by Ministerio de Economía y Competitividad of Gobierno de España), co-financed by the European FEDER funds. The Tesla K40c GPU was a donation by NVIDIA under the CUDA Research Center program.

The Veleta GPU server at RGNC was provided by the R&D projects P08-TIC4200 (funded by Consejería de Economía, Innovación y Ciencia of Junta de Andalucía) and TIN2009-13192 (funded by Ministerio de Ciencia e Innovación of Gobierno de España), both co-financed by the European FEDER funds.

Please, consider to acknowledge our R&D projects in your papers if you are using our GPU servers and hardware for your research (also notify us about this).