About PARAM Himalaya
The supercomputing facility established under the build approach of National Supercomputing Mission with a peak computing power of 838 TeraFlops. Param Himalaya is designed and commissioned by C-DAC to cater to the computational needs of IIT, Mandi 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.
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PARAM Himalaya Details
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 EthernetStorage 1PiB PFS based storage CPU Only Compute Nodes Nodes 107 Cores 5136 Compute Power of Rpeak 476.06 TFLOPS Each Node with 2 X Intel Xeon Cascadelake 8268, 24 cores, 2.9 GHz, processors
192 GB memory
480 GB SSDGPU 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 (32 Nodes)
480 GB SSDHigh 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:
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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: himalayasupport@iitmandi.ac.in