PARAM Pravega

About PARAM Pravega

PARAM Pravega, a cutting-edge supercomputing facility, was established under Phase-2 of the National Supercomputing Mission's build approach. It boasts a peak computing power of 3.3 PFLOPS and was designed and commissioned by C-DAC to meet the computational needs of IISc, Bangalore, and various research and engineering institutes in the region. The system is valuable for research in various scientific domains, including Weather & Climate, Oil & Gas, Seismic, Life, Material sciences, and more.

PARAM Pravega Details

System Specifications
Theoretical Peak Floating-point Performance Total (Rpeak) 3.3 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) 300 nos. (192GB)
GPU Nodes (Memory) 40 nos. (192GB)
GPU Ready Compute Only Nodes (Memory) 128 nos. (192GB)
High Memory Compute Nodes 156 nos. (768GB)
Total Memory 209.66 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 428
Cores 20544
Compute Power of Rpeak 1906.48 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 40
CPU Cores 1600
CUDA Cores 409600
Rpeak CPU 128 TFLOPS + GPU 624 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 156
CPU Cores 7488
Compute Power of Rpeak 694.88 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: support.parampravega@iisc.ac.in

PARAM Pravega Usage Report

Link To Be Added

*Note: The above data is coming from C-Chakshu (Multi Cluster Monitoring Platform)

Publication

There are a total of 166 publications that have been published using PARAM Pravega till 2023.