Linux based GPGPU computer / High performance computer TinyGPU (diverse)

Model: GPGPU-Cluster

Manufacturer: diverse

URL: https://hpc.fau.de/systems-services/systems-documentation-instructions/clusters/tinygpu-cluster/

Location: Erlangen

Usage: FAU internal

Pictures

Equipment picture

DFG Key: 7000 Datenverarbeitungsanlagen, zentrale Rechenanlagen

Description

TinyGPU addresses the increasing demand for GPGPU-accelerated HPC systems and has nodes with six different types of GPUs (mostly of consumer type):
  • 7 nodes with 2x Intel Xeon E5-2620v4 („Broadwell“, 8 Cores@2.1 GHz); 64 GB main memory; 4x NVIDIA Gefroce GTX 1080 (8 GB memory); 1.8 TB SSD
  • 10 nodes with 2x Intel Xeon E5-2620v4 („Broadwell“, 8 Cores@2.1 GHz); 64 GB main memory; 4x NVIDIA Geforce GTX 1080Ti (11 GB memory); 1.8 TB SSD
  • 12 nodes with 2x Intel Xeon Gold 6134 („Skylake“, 8 Cores@3.2 GHz); 96 GB main memory; 4x NVIDIA Geforce RTX 2080 Ti (11 GB memory); 1.8 TB SSD
  • 4 nodes with 2x Intel Xeon Gold 6134 („Skylake“, 8 Cores@3.2 GHz); 96 GB main memory; 4x NVIDIA Tesla V100 (32 GB memory); 2.9 TB SSD
  • 7 nodes with 2x Intel Xeon Gold 6226R („Cascadelake“, 16 Cores@2.9 GHz); 394 GB main memory; 8x NVIDIA Geforce RTX3080 (10 GB memory); 3,8 TB SSD
  • 8 nodes with 2x AMD Epyc 7662 („Rome“, 64 Cores@2,0 GHz); 512 GB main memory; 4x NVIDIA A100 SXM4/Nvlink; 6,4 TB SSD
45 out of the 48 nodes have been purchased/financed by specific groups or special projects. These users have priority access and nodes may be reserved exclusively for them.

Involved Person(s)

Gerhard Wellein Thomas Zeiser

Organisation(s)

Regionales Rechenzentrum Erlangen (RRZE) Professur für Höchstleistungsrechnen

Research Areas

Microscope SVG A3 Multiscale Modeling and Simulation Field of Research