About PARAM Seva
The supercomputer PARAM Seva is based on heterogeneous and hybrid configuration of Intel Xeon Cascade Lake processors, and NVIDIA Tesla V100.
The system was designed and implemented by HPC Technologies team, Centre for Development of Advanced Computing (C-DAC). PARAM Seva, a state-of-the-art supercomputing facility established under the build approach of the National Supercomputing Mission with a peak computing power of 838 TF.
PARAM Seva Details
System Specifications:
| System Specifications | |
|---|---|
| Theoretical Peak Floating-point Performance Total (Rpeak) | 838 TFLOPS |
| Base Specifications (Compute Nodes) | 2 X Intel Xeon Cascadelake 8268, 24 Cores, 2.9 GHz, Processors per node, 192 GB Memory, 480 GB SSD |
| Master/Service/Login Nodes | 10 nos. |
| CPU only Compute Nodes (Memory) | 107 nos. (192GB) |
| GPU Nodes (Memory) | 10 nos. (192GB) |
| High Memory Compute Nodes | 39 nos. (768GB) |
| Total Memory | 52.416 TB |
| Interconnect | Primary: 100Gbps Mellanox Infiniband Interconnect network 100% non-blocking, fat tree topology Secondary: 10G/1G Ethernet Network Management network: 1G Ethernet |
| Storage | 1PiB PFS based storage |
| CPU Only Compute Nodes | |
|---|---|
| Nodes | 107 |
| Cores | 5136 |
| Compute Power of Rpeak | 476.6 TFLOPS |
| Each Node with | 2 X Intel Xeon Cascadelake 8268, 24 cores, 2.9 GHz, processors 192 GB memory 480 GB SSD |
| GPU Only Compute Nodes | |
|---|---|
| Nodes | 10 |
| CPU Cores | 400 |
| CUDA Cores | 102400 |
| Rpeak | CPU 32 TFLOPS + GPU 156 TF |
| Each Node with | 2 X Intel Xeon Skylake 6248, 20 cores, 2.5 GHz, processors 192 GB Memory 2 x NVIDIA V100 SXM2 GPU Cards 480 GB SSD |
| High Memory Compute Nodes | |
|---|---|
| Nodes | 39 |
| CPU Cores | 1872 |
| Compute Power of Rpeak | 173.7 TFLOPS |
| Each Node with | 2 X Intel Xeon Cascadelake 8268, 24 cores, 2.9 GHz, processors 768 GB Memory 480 GB SSD |
PARAM Seva 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
In-house Developed, Open-source Materials and Computational Chemistry (MCC) HPC Applications/Softwares
- AMDKIIT : Linear scaling hybrid-DFT code for ab initio molecular dynamics
- ANN-CI : Computational chemistry, code augmented by machine learning for studying complex biological systems
- LITESOPH: Layer Integrated Toolkit and Engine for Simulations of Photo-induced phenomena is a toolkit for simulations of photo-induced phenomena
- Mµ2Mech : It is a multiscale modeling approach combining atomistic and phase-field simulations for microstructure modeling during solid-state phase transformations
- MTA* : Quantum chemistry code based on the fragmentation-based molecular tailoring approach ( * MTA will be facilitated based on the Gaussian Institutional license. Kindly contact mscc-support@cdac.in for more details.)
Deep Learning Libraries
- cuDNN, TensorFlow, Theano
Dependency Libraries
- NetCDF, PNETCDF, Jasper, HDF5, Tcl, Boost, FFTW
Support
For any support, contact: sevasupport@iith.ac.in
PARAM Seva Usage Report
Link To Be Added
For detailed usage reports, please visit the respective sections on our internal portal.
Publication
There are a total of 32 publication that have been published using PARAM Seva till 2023.