Administrative data
System nameSUSIK
A brief description of the systemHigh-performance computing cluster
Technical specifications
Number of servers27
Server SpecificationSuperMicro Twin Servers and X11 Dpi-NT
Processor specificationXeon 5335; Xeon 5420; Xeon E5-2620; Xeon E5-2650v4; 2 x Xeon Gold 6142
CPU cores on the server8, 8, 12, 24, 16
Server memory16GB, 16GB, 96GB, 96GB, 348GB
Total number of CPU cores272
Maximum number of parallel processes per processor240
Connection typeInfiniband DDR & FDR
Connection delay1.1 to 1.5 μs
Connection tape20 – 56 Gbps
Local file system typeNFS & Lustre
General data storage35TB
Type of acceleratorsnVidia Tesla M2090 & K80
Number of cores6200
Server Accelerators2
Servers equipped with accelerators1
Max. performance (Tflops, double precision)715
Real performance (Tflops, double precision)680
OSUbuntu and CentOS
Version16.04 LTE ; 7x
Task management systemSun Grid Engine & Slurm
Development ToolsIntel Vtune, Eclipse (incl. Intel XE support, PyDev, Photran), Nsight Eclipse (CUDA support), Nvidia Visual Profiler, Intel Inspector, Jupyter Notebook, Jupyter Console, PyCharm, git
Compilers and librariesКомпилатори: Intel Compilers, PGI Compilers, GNU C/C++/Fortran Compilers, OpenJDK; Интерпретатори: Python 2.7.x (Intel), Python 2.7.x (GCC), Intel Python 3, Python 3.6.x (GCC), TCL 8.5 (GCC), Perl 5.16 (GCC), Julia 1.1; Библиотеки/модули/добавки: Intel MKL, Intel DAAL, OpenMPI (Intel), OpenMPI (GCC), MPICH2 (Intel), MPICH2(GCC), HDF5 (Intel), HDF5+MPI (Intel), HDF5(GCC), NetCDF (Intel), NetCDF(GCC), PyDAAL, NumPy, SciPy, H5py, PyTables, mpi4py, pandas, matplotlib, sympy, tensorflow-gpu, MDAnalysis, OpenVINO, CUDA+cuDNN (8.x,9.x,10.x)
Application softwareGROMACS, Quantum Espresso, ABINIT, CP2K, elk, WRF, Maple, Matlab, Mathematica, Siesta, Kshell, GAUSSIAN, LAMMPS, Tensorflow (with GPU support, on Intel Python 3), NAMD, CHARMM, PG-Storm