About PARAM Rudra
PARAM Rudra, a cutting-edge supercomputing facility, was established under Phase-3 of the National Supercomputing Mission's build approach. It boasts a peak computing power of 1 PFLOPS and was designed and commissioned by C-DAC to meet the computational needs of GMRT Narayangaon, Pune and various research and engineering institutes in the region. The system is valuable for research in various scientific domains, including materials science, earth science, chemical and biological sciences, high energy physics, cosmology and astrophysics and more.
PARAM Rudra Details
| System Specifications | |
|---|---|
| Theoretical Peak Floating-point Performance Total (Rpeak) | 1.3 PFLOPS |
| Base Specifications (Compute Nodes) | 2 X Intel Xeon GOLD 6240R, 24 Cores, 2.4 GHz Processors per node, 192 GB Memory, 800 GB SSD |
| Master/Service/Login Nodes | 6 nos. |
| GPU only Compute Nodes (Memory) | 15 nos. (192GB) |
| GPU Compute Nodes (GPU Cards) | 45 nos. (90 Nvidia A100 PCIe) |
| Total Memory | 37.68 TB |
| Interconnect | Primary:100Gbps Mellanox Infiniband Interconnect HDR Network 100% non-blocking, fat tree topology Secondary: 10G/1G Ethernet Network Management Network: 1G Ethernet |
| Storage | 2.0 PiB |
| GPU Only Compute Nodes | |
|---|---|
| Nodes | 45 |
| CPU Cores | 2160 |
| Rpeak | 1386 PF |
| Each Node with | 2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz processors 768 GB Memory 2 x NVIDIA A100 800 GB SSD |
| GPU Ready Nodes | |
|---|---|
| Nodes | 15 |
| CPU Cores | 720 |
| Rpeak | 55.29 PF |
| Each Node with | 2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz processors 192 GB Memory 2 x NVIDIA A100 800 GB SSD |
Architecture Diagram:
Software Stack:
Installed Applications/Libraries
HPC Applications
- Bio-informatics: MUMmer, HMMER, MEME, PHYLIP, mpiBLAST, ClustalW
- Molecular Dynamics: NAMD (for CPU and GPU), LAMMPS, GROMACS
- CFD: OpenFOAM, SU2
- Material Modeling, Quantum Chemistry: Quantum-Espresso, Abinit, CP2K, NWChem
- Weather, Ocean, Climate: WRF-ARW, WPS (WRF), ARWPost (WRF), RegCM, MOM, ROMS
Deep Learning Libraries
- cuDNN, TensorFlow, Theano
Dependency Libraries
- NetCDF, PNETCDF, Jasper, HDF5, Tcl, Boost, FFTW
Support
For any support, contact: brahmand@ncra.tifr.res.in
PARAM Rudra Usage Report
Link To Be Added
*Note: The above data is coming from C-Chakshu (Multi Cluster Monitoring Platform)