PARAM Yukti

About PARAM Yukti

The supercomputing facility established under the build approach of National Supercomputing Mission with a peak computing power of 1.8 PetaFlops. Param Yukti is designed and commissioned by C-DAC to cater to the computational needs of JNCASR, Bangalore 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 Yukti Details

System Specifications
Theoretical Peak Floating-point Performance Total (Rpeak) 1.8 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 10 nos.
CPU only Compute Nodes (Memory) 75 nos. (192GB)
GPU Nodes (Memory) 42 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
CPU Only Compute Nodes
Nodes 75
Cores 3600
Compute Power of Rpeak 334.08 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 42
CPU Cores 1680
CUDA Cores 757760
Rpeak CPU 134.4 TFLOPS + GPU 1154.4 TF
Each Node with 2 X Intel Xeon Skylake 6248, 20 cores, 2.5 GHz, processors
192 GB Memory
4 x NVIDIA V100 SXM2 GPU Cards (32 Nodes)
2 x NVIDIA V100 SXM2 GPU Cards (10 Nodes)
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


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: yuktisupport@jncasr.ac.in

PARAM Yukti Usage Report

Publication

There are a total of 47 publications that have been published using PARAM Yukti till 2023.