The Scientific Compute Cluster in Konstanz (SCCKN) is a platform for High Performance Computing (HPC) and High Throughput Computing (HTC, "Big Data") at the University Konstanz. It provides access to computational resources for all groups of the University Konstanz (see Availability, Participants). The Scientific Compute Cluster (SCC) was build in November 2013 by the Physics department and extend to an Infrastructure Platform in September 2014.
SCCKN makes it possible that every group of the University Konstanz can use and also invest into local computing resources. The SCC especially supports computing resources that are not covered by federal HPC resources (like local data storage, long running jobs, GPU computing, special software, interactive/GUI programs, flexible investment, etc.)
SCCKN is organized and managed by the Physics Department with more than 20 years experience in HPC Cluster management (Hard- and Software) and also the biggest demand for scientific computing at the University Konstanz.
Presentation slides (Please login)
Technical details:
- ca.171 + 555 TFLOPS* (SCC: 164.5 + 555 TFLOPS*, Workstations: 6.6 TFLOPS*)
- 6380 CPU Cores, 210.000 GPU Cores, SCC: 5788 CPU-Cores, 4.170.000 CPU-Core-h/month
- ca. 37 TB RAM (SCC: 34.7 TB)
- 40 x RTX 2080Ti, 4 x NVIDIA V 100, 2 x NVIDIA K80, 2 x NVIDIA K20Xm
- Data storage: 1.33 PB + ca. 400 TB local disc
- Backup (1.36 PB) and Archive server (0.77 PB) for all simulation data
- Infiniband FDR/EDR connection (56/100 GBit/s, 0.7 µs) between most nodes
- 7x10 GE connection to University LAN
- openSUSE Leap 15 with many additional repositories
- Access via SSH, X2Go, Jupyterhub, CoCalc, Overleaf
- Many Software packages in a Modules environment
- Grid Engine queuing system
- Zabbix monitoring
- Remote Management using IPMI
* CPU(DP, LINPACK) + GPU(SP)