About PARAM Rudra
PARAM Rudra, a state-of-the-art supercomputing facility, was developed as part of Phase-3 of the National Supercomputing Mission's build initiative. Built using Rudra servers, which were designed and manufactured in India, it boasts a peak performance of 3.1 PFLOPS. The system was designed and deployed by C-DAC to address the computational needs of IIT, Bombay, and other research and engineering institutions in the region. It plays a crucial role in advancing research across multiple scientific fields, with a special focus on enhancing studies in material science and atomic physics.
PARAM Rudra Details
| System Specifications | |
|---|---|
| Theoretical Peak Floating-point Performance Total (Rpeak) | 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 | 20 nos. |
| CPU only Compute Nodes (Memory) | 482 nos. (192GB) |
| High Memory Nodes (Memory) | 90 nos. (768GB) |
| GPU Compute Nodes (GPU Cards) | 30 nos. (60 Nvidia A100 PCIe) |
| Total Memory | 163.5 TB |
| Interconnect | Primary: Mellanox Infiniband NDR Interconnect Network 100% non-blocking, fat tree topology Secondary: 10G/1G Ethernet Network Management Network: 1G Ethernet |
| Storage | 4.4 PiB |
| CPU Only Compute Nodes | |
|---|---|
| Nodes | 482 |
| Cores | 23136 |
| Compute Power of Rpeak | 1776.6 TFLOPS |
| Each Node with | 2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz processors 192 GB memory 800 GB SSD |
| GPU Only Compute Nodes | |
|---|---|
| Nodes | 30 |
| CPU Cores | 1440 |
| Rpeak | 1.034 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 |
| High Memory Compute Nodes | |
|---|---|
| Nodes | 90 |
| Cores | 4320 |
| Compute Power of Rpeak | 331.74 TFLOPS |
| Each Node with | 2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz processors 768 GB memory 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: rudrasupport@iitb.ac.in
PARAM Rudra Usage Report
Link To Be Added
*Note: The above data is coming from C-Chakshu (Multi Cluster Monitoring Platform)