PARAM Shivay

About PARAM Shivay

The supercomputer of 838 TFLOPS capacity, built at the cost of Rs 32.5 crore under the National Super Computing Mission at Indian Institute of Technology (IIT), Banaras Hindu University (BHU).

PARAM Shivay Details

System Specifications
Theoretical Peak Floating-point Performance Total (Rpeak) 837 TFLOPS
Base Specifications (Compute Nodes) 2 X Intel Xeon Skylake 6148, 20 Cores, 2.4 GHz, Processors per node, 192 GB Memory, 480 GB SSD
Master/Service/Login Nodes 10 nos.
CPU only Compute Nodes (Memory) 192 nos. (192GB)
GPU Nodes (Memory) 11 nos. (22 Nvidia V100 PCIe)
High Memory Compute Nodes 20 nos. (768GB)
Total Memory 54.3 TB
Interconnect Primary: 100Gbps Mellanox Infiniband Interconnect network 100% non-blocking, fat tree topology
Secondary: 10G/1G Ethernet Network
Management network: 1G Ethernet
Primary Storage Lustre based Primary storage 750 TiB usable with 25 GB/Sec write throughput
Archival Storage Archival Storage 250 TiB usable capacity based on DDN Gridscaler (GPFS) with 1GB/sec write throughput
CPU Only Compute Nodes
Nodes 192
Cores 7680
Compute Power of Rpeak 589 TFLOPS
Each Node with 2 X Intel Xeon Skylake 6148, 20 cores, 2.4 GHz, processors
192 GB memory
480 GB SSD
GPU Only Compute Nodes
Nodes 11
CPU Cores 440
CUDA Cores 112640
Rpeak Compute Rpeak 187 TF
Each Node with 2 X Intel Xeon Skylake 6148, 20 cores, 2.4 GHz, processors
192 GB Memory
2 x NVIDIA V100 PCIe Accelerator Cards 16 GB HBM2
480 GB SSD
High Memory Compute Nodes
Nodes 20
CPU Cores 800
Compute Power of Rpeak 61 TFLOPS
Each Node with 2 X Intel Xeon Skylake 6148, 20 cores, 2.4 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: shivaysupport@iitbhu.ac.in

PARAM Shivay Usage Report

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

Publication

There are a total of 219 publications that have been published using PARAM Shivay till 2023.