Partner SU
Administrative data
System name PhysOn
A brief description of the system High-performance computing cluster
Owner SU
Technical specifications
Number of servers 96
Server Specification SuperMicro CPU-Quad
Processor specification Xeon 5335; Xeon 5420; Xeon E5-2620; Xeon E5-2650v4; Tesla M2090
CPU cores on the server 8, 8, 12, 24, 16
Server memory 12GB, 16GB, 16GB, 64GB, 94GB
Total number of CPU cores 216
Maximum number of parallel processes per processor 240
Connection type Infiniband DDR & FDR
Connection delay 1.1 to 1.5 μs
Connection tape 20 – 56 Gbps
Local file system type NFS & Lustre
General data storage 48TB
Type of accelerators nVidia Tesla M2090 & K80
Number of cores 6200
Server Accelerators 2
Servers equipped with accelerators 1
Max. performance (Tflops, double precision) 3.5
Real performance (Tflops, double precision) 3.2
OS Ubuntu and CentOS
Version 16.06 LTE ; 7x
Task management system Sun Grid Engine & Slurm
Development Tools Intel 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 libraries Компилатори: 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 software GROMACS, 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