About PARAM Sanganak
The supercomputing facility established under the build approach of National Supercomputing Mission with a peak computing power of 1.67 PetaFlops. Param Sanganak is designed and commissioned by C-DAC to cater to the computational needs of IIT, Kanpur and various Research and Engineering institutes of the region. It is based on Intel Xeon Cascade lake processors, and NVIDIA Tesla V100 and HDR100. The system is built with the latest cutting edge hardware and software technologies. Substantial components utilized to build this system are manufactured and assembled within India, which is a step towards the Make in India initiative of the Government.
PARAM Sanganak Details
System Specifications:
| System Specifications | |
|---|---|
| Theoretical Peak Floating-point Performance Total (Rpeak) | 1.67 PFLOPS |
| 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 | 20 nos. |
| CPU only Compute Nodes (Memory) | 214 nos. (192GB) |
| GPU Nodes (Memory) | 20 nos. (192GB) |
| High Memory Compute Nodes | 78 nos. (768GB) |
| Total Memory | 104.832 TB |
| Interconnect | Primary: 100Gbps Mellanox Infiniband Interconnect network 100% non-blocking, fat tree topology Secondary: 10G/1G Ethernet Network Management network: 1G Ethernet |
| CPU Only Compute Nodes | |
|---|---|
| Nodes | 214 |
| Cores | 10272 |
| Compute Power of Rpeak | 953.2 TFLOPS |
| Each Node with | 2 X Intel Xeon Cascadelake 8268, 24 cores, 2.9 GHz, processors 192 GB memory 480 GB SSD |
| GPU Compute Nodes | |
|---|---|
| Nodes | 20 |
| CPU Cores | 800 |
| CUDA Cores | 204800 |
| Rpeak | CPU 64 TFLOPS + GPU 312 TF |
| Each Node with | 2 X Intel Xeon Cascadelake 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 | 78 |
| CPU Cores | 3744 |
| Compute Power of Rpeak | 347.33 TFLOPS |
| Each Node with | 2 X Intel Xeon Cascadelake 8268, 24 cores, 2.9 GHz, processors 768 GB Memory 480 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
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: sanganakalert@iitk.ac.in
PARAM Sanganak Usage Report
Publication
There are total 107 publications have been published by using PARAM Sanganak till 2023.