| 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 |
