PARAM Rudra IIT Patna

About PARAM Rudra

PARAM Rudra, a cutting-edge supercomputing facility, was established under Phase-3 of the National Supercomputing Mission's build approach. It boasts a peak computing power of 838 TFLOPS and was designed and commissioned by C-DAC to meet the computational needs of IIT,Patna and various research and engineering institutes in the region. The system is valuable for research in various scientific domains, including materials science, earth science, chemical and biological sciences, high energy physics, cosmology and astrophysics and more.

System Specifications
Theoretical Peak Floating-point Performance Total (Rpeak)	838 TFLOPS
Base Specifications (Compute Nodes)	2X Intel Xeon GOLD 6240R, 24 Cores, 2.4 GHz Processors per node, 192 GB Memory, 800 GB SSD
Master/Service/Login Nodes	10 nos.
CPU only Compute Nodes (Memory)	96 nos. (192GB)
GPU Ready Nodes (Memory)	26 nos. (192GB)
High Memory Compute Nodes	32 nos. (768GB)
Total Memory	49.536 TB
Interconnect	Primary: 100Gbps Mellanox Infiniband Interconnect Network 100% non-blocking, fat tree topology Secondary: 10G/1G Ethernet Network Management Network: 1G Ethernet
Storage	1.0 PiB

CPU Only Compute Nodes
Nodes	96
Cores	4608
Compute Power of Rpeak	353.89 TFLOPS
Each Node with	2 X Intel Xeon GOLD 6240R, 24 Cores, 2.4 GHz 192 GB memory 800 GB SSD

GPU Only Compute Nodes
Nodes	8
CPU Cores	384
Rpeak	275.81 TFLOP
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz 192 GB Memory 2 x NVIDIA A100 800 GB SSD

High Memory Compute Nodes
Nodes	32
CPU Cores	1536
Compute Power of Rpeak	117.964 TFLOPS
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz 768 GB Memory 800 GB SSD

GPU Ready Nodes
Nodes	26
CPU Cores	1248
Rpeak	95.846 TFLOP
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz 192 GB Memory 2 x NVIDIA A100 800 GB SSD

PARAM Rudra Details

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: rudrasupport@iitp.ac.in

PARAM Rudra Usage Report

Link To Be Added

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

PARAM Rudra IIT, Madras

About PARAM RUDRA

PARAM Rudra, a state-of-the-art supercomputing facility, was developed as part of Phase-3 of the National Supercomputing Mission's build initiative. Built using Rudra servers, which were designed and manufactured in India, it boasts a peak performance of 3.1 PFLOPS. The system was designed and deployed by C-DAC to address the computational needs of IIT, Madras, and other research and engineering institutions in the region. It plays a crucial role in advancing research across multiple scientific fields, with a special focus on enhancing studies in material science and atomic physics.

PARAM RUDRA Details

System Specifications
Theoretical Peak Floating-point Performance Total (Rpeak)	3 PFLOPS
Base Specifications (Compute Nodes)	2 X Intel Xeon Gold 6240R, 24 Cores, 2.4 GHz, Processors per node, 192 GB Memory, 800 GB SSD
Master/Service/Login Nodes	20 nos.
CPU only Compute Nodes (Memory)	473 nos. (192GB)
GPU Nodes (Memory)	30 nos. (60 NVIDIA A100 PCle)
GPU Ready Compute Nodes (Memory)	32 nos. (192GB)
High Memory Compute Nodes	64 nos. (768GB)
Total Memory	148.312 TB
Interconnect	Primary: 100Gbps Mellanox Infiniband Interconnect network 100% non-blocking, fat tree topology Secondary: 10G/1G Ethernet Network Management network: 1G Ethernet
Storage	4.4 PiB

CPU Only Compute Nodes
Nodes	473
Cores	22704
Compute Power of Rpeak	1743.4 TFLOPS
Each Node with	2 X Intel Xeon Gold 6240R, 24 cores, 2.4 GHz, processors 192 GB memory 800 GB SSD

GPU Only Compute Nodes
Nodes	30
CPU Cores	1440
Rpeak	924.12 TFLOPS
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz, processors 192 GB Memory 2 x NVIDIA A100 800 GB SSD

GPU Ready Compute Nodes
Nodes	32
CPU Cores	1536
Rpeak	117.952 TFLOPS
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz, processors 192 GB Memory 800 GB SSD

High Memory Compute Nodes
Nodes	64
CPU Cores	3072
Compute Power of Rpeak	239.50 TFLOPS
Each Node with	2 X Intel Xeon Gold 6240R, 24 cores, 2.4 GHz, processors 768 GB Memory 800 GB SSD

Architecture Diagram:

Software Stack:

Support

For any support, contact: rudrasupport@iitm.ac.in

PARAM Rudra Usage Report

Link To Be Added

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

PARAM Rudra C-DAC, Delhi

About PARAM Rudra

PARAM Rudra, a cutting-edge supercomputing facility, was established under Phase-3 of the National Supercomputing Mission's build approach. It boasts a peak computing power of 200 TFLOPS and was designed and commissioned by C-DAC to meet the computational needs of C-DAC Delhi, and various research and engineering institutes in the region. The system is valuable for research in various scientific domains, including materials science, earth science, chemical and biological sciences, high energy physics, cosmology and astrophysics and more.

PARAM Rudra Details

System Specifications
Theoretical Peak Floating-point Performance Total (Rpeak)	200 TFLOPS
Base Specifications (Compute Nodes)	2 X Intel Xeon GOLD 6240R, 24 Cores, 2.4 GHz Processors per node, 192 GB Memory, 800 GB SSD
Master/Service/Login Nodes	4 nos.
CPU only Compute Nodes (Memory)	36 nos. (192GB)
GPU Compute Nodes (GPU Cards)	2 nos. (4 Nvidia A100 PCIe)
Total Memory	8064 TB
Interconnect	Primary:100Gbps Mellanox Infiniband Network 100% non-blocking, fat tree topology Secondary: 1G Ethernet Network Management Network: 1G Ethernet
Storage	50 TB

CPU Only Compute Nodes
Nodes	36
Cores	1728
Compute Power of Rpeak	132.69 TFLOPS
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz processors 192 GB memory 800 GB SSD

GPU Only Compute Nodes
Nodes	2
CPU Cores	96
Rpeak	68.97 PF
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz, processors 192 GB Memory 2 x NVIDIA A100 800 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: hpc-delhi@cdac.in

PARAM Rudra Usage Report

Link To Be Added

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

PARAM Rudra SN Bose, Kolkata

About PARAM Rudra

PARAM Rudra, a cutting-edge supercomputing facility, was established under Phase-3 of the National Supercomputing Mission's build approach. It boasts a peak computing power of 838 TFLOPS and was designed and commissioned by C-DAC to meet the computational needs of S. N. Bose National Centre for Basic Sciences (SNBNCBS), Kolkata, and various research and engineering institutes in the region. The system is valuable for research in various scientific domains, including materials science, earth science, chemical and biological sciences, high energy physics, cosmology and astrophysics and more.

System Specifications
Theoretical Peak Floating-point Performance Total (Rpeak)	838 TFLOPS
Base Specifications (Compute Nodes)	2X Intel Xeon GOLD 6240R, 24 Cores, 2.4 GHz Processors per node, 192 GB Memory, 800 GB SSD
Master/Service/Login Nodes	10 nos.
CPU only Compute Nodes (Memory)	96 nos. (192GB)
GPU Ready Nodes (Memory)	26 nos. (192GB)
High Memory Compute Nodes	32 nos. (768GB)
Total Memory	49.536 TB
Interconnect	Primary: 100Gbps Mellanox Infiniband Interconnect Network 100% non-blocking, fat tree topology Secondary: 10G/1G Ethernet Network Management Network: 1G Ethernet
Storage	1.0 PiB

CPU Only Compute Nodes
Nodes	96
Cores	4608
Compute Power of Rpeak	353.89 TFLOPS
Each Node with	2 X Intel Xeon GOLD 6240R, 24 Cores, 2.4 GHz 192 GB memory 800 GB SSD

GPU Only Compute Nodes
Nodes	8
CPU Cores	384
Rpeak	275.81 TFLOP
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz 192 GB Memory 2 x NVIDIA A100 800 GB SSD

High Memory Compute Nodes
Nodes	32
CPU Cores	1536
Compute Power of Rpeak	117.964 TFLOPS
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz 768 GB Memory 800 GB SSD

GPU Ready Nodes
Nodes	26
CPU Cores	1248
Rpeak	95.846 TFLOP
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz 192 GB Memory 2 x NVIDIA A100 800 GB SSD

PARAM Rudra Details

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: rudrasupport@bose.res.in

PARAM Rudra Usage Report

Link To Be Added

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

PARAM Rudra IIT, Bombay

About PARAM Rudra

PARAM Rudra, a state-of-the-art supercomputing facility, was developed as part of Phase-3 of the National Supercomputing Mission's build initiative. Built using Rudra servers, which were designed and manufactured in India, it boasts a peak performance of 3.1 PFLOPS. The system was designed and deployed by C-DAC to address the computational needs of IIT, Bombay, and other research and engineering institutions in the region. It plays a crucial role in advancing research across multiple scientific fields, with a special focus on enhancing studies in material science and atomic physics.

PARAM Rudra Details

System Specifications
Theoretical Peak Floating-point Performance Total (Rpeak)	3 PFLOPS
Base Specifications (Compute Nodes)	2 X Intel Xeon GOLD 6240R, 24 Cores, 2.4 GHz Processors per node, 192 GB Memory, 800 GB SSD
Master/Service/Login Nodes	20 nos.
CPU only Compute Nodes (Memory)	482 nos. (192GB)
High Memory Nodes (Memory)	90 nos. (768GB)
GPU Compute Nodes (GPU Cards)	30 nos. (60 Nvidia A100 PCIe)
Total Memory	163.5 TB
Interconnect	Primary: Mellanox Infiniband NDR Interconnect Network 100% non-blocking, fat tree topology Secondary: 10G/1G Ethernet Network Management Network: 1G Ethernet
Storage	4.4 PiB

CPU Only Compute Nodes
Nodes	482
Cores	23136
Compute Power of Rpeak	1776.6 TFLOPS
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz processors 192 GB memory 800 GB SSD

GPU Only Compute Nodes
Nodes	30
CPU Cores	1440
Rpeak	1.034 PF
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz, processors 192 GB Memory 2 x NVIDIA A100 800 GB SSD

High Memory Compute Nodes
Nodes	90
Cores	4320
Compute Power of Rpeak	331.74 TFLOPS
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz processors 768 GB memory 800 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: rudrasupport@iitb.ac.in

PARAM Rudra Usage Report

Link To Be Added

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

PARAM Rudra GMRT, Pune

About PARAM Rudra

PARAM Rudra, a cutting-edge supercomputing facility, was established under Phase-3 of the National Supercomputing Mission's build approach. It boasts a peak computing power of 1 PFLOPS and was designed and commissioned by C-DAC to meet the computational needs of GMRT Narayangaon, Pune and various research and engineering institutes in the region. The system is valuable for research in various scientific domains, including materials science, earth science, chemical and biological sciences, high energy physics, cosmology and astrophysics and more.

PARAM Rudra Details

System Specifications
Theoretical Peak Floating-point Performance Total (Rpeak)	1.3 PFLOPS
Base Specifications (Compute Nodes)	2 X Intel Xeon GOLD 6240R, 24 Cores, 2.4 GHz Processors per node, 192 GB Memory, 800 GB SSD
Master/Service/Login Nodes	6 nos.
GPU only Compute Nodes (Memory)	15 nos. (192GB)
GPU Compute Nodes (GPU Cards)	45 nos. (90 Nvidia A100 PCIe)
Total Memory	37.68 TB
Interconnect	Primary:100Gbps Mellanox Infiniband Interconnect HDR Network 100% non-blocking, fat tree topology Secondary: 10G/1G Ethernet Network Management Network: 1G Ethernet
Storage	2.0 PiB

GPU Only Compute Nodes
Nodes	45
CPU Cores	2160
Rpeak	1386 PF
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz processors 768 GB Memory 2 x NVIDIA A100 800 GB SSD

GPU Ready Nodes
Nodes	15
CPU Cores	720
Rpeak	55.29 PF
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz processors 192 GB Memory 2 x NVIDIA A100 800 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: brahmand@ncra.tifr.res.in

PARAM Rudra Usage Report

Link To Be Added

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

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.

PARAM Siddhi-AI

About PARAM Siddhi-AI

The NPSF, C-DAC in Pune has commissioned the fastest HPC/AI system in India, the PARAM Siddhi-AI system, as part of the NSM initiative. This system comprises 336 NVIDIA A100 GPUs and is a dense GPU compute resource used for executing popular AI and HPC workloads. The configuration of the system includes 42 compute nodes of NVIDIA DGX-A100, each having 2 AMD EPYC CPUs, 8 A100 GPUs and 1 TB RAM. The system has a total peak computing capacity of 6.745 Peta Flops (DP) and 210 PF (AI) performance, with 42 compute nodes and 1 login node. PARAM Siddhi-AI system, at C-DAC is aimed to serve as AI / HPC specific Cloud Computing Infrastructure for INDIA subsuming academia, R&D institutes and start-ups. The system is a centralized facility to ensure increased accessibility and utilization as well as ability to support large scale and more diverse R&D projects in the AI and HPC domains and is dedicated to address India Specific Real-Life Problems The facility would also enable storing of India's massive data sets from areas like healthcare, agriculture locally in a high throughput and efficient storage. The use cases for PARAM Siddhi-AI system varies from Big Data Analytics to specialized AI / HPC solutions across multiple domains viz. Healthcare (precision diagnostics, non-invasive diagnostics etc.), Agriculture (precision agriculture, crop infestations, advanced agronomic advisory etc.), weather forecasting, security and surveillance, financial inclusion and other services (fraud detection), infrastructural tools i.e. NLP etc.

PARAM Siddhi-AI Details

System Specifications
NVIDIA DGX-A100 Compute Nodes	82 (20992 cpu cores)
Total host (compute node) memory	82 TB (82 nodes * 1 TB per node)
NVIDIA A100-40GB Tensor Core GPUs	656 (82 nodes * 8 gpus per node)
Total GPU Memory	26.24 TB (82 Nodes * 8 GPUs per node * 40 GB Per Node)
Mellanox 200G HDR InfiniBand Switch having 320 Tb/s aggregate switch throughput (Compute Communication)	800 Ports (20 leafs *40 ports per leaf)
Mellanox 200G HDR InfiniBand Switches (Storage Delivery)	400 Ports (10 Switches* 40 ports per switch)
PFS based storage (Network attched) @250 GB/Sec, 4M IOPs	10.5 PIB (2 Tier Storage)

AIRAWAT-PSAI Compute Node Specification
Component	Specification
CPU	AMD EPYC 7742 64C 2.25GHz
CPU Cores	128 cores (Dual Socket, each with 64 cores) [256 cores with Hyper-threading].
L3 Cache	256 MB
System Memory (RAM)	1 TB
GPU	NVIDIA A100 - SXM4
GPU Memory	40 GB
Local Storage	14 TB
Total No. of GPUs per node	8
Networking	Mellanox ConnectX-6 VPI (Infiniband HDR), 1.6 Tb/Sec.

Architecture Diagram:
Software Stack:

Support

For any support, contact: airawat-outreach@cdac.in

PARAM Siddhi-AI Usage Report

PARAM Rudra IUAC, Delhi

About PARAM RUDRA

PARAM Rudra, a state-of-the-art supercomputing facility, was developed as part of Phase-3 of the National Supercomputing Mission's build initiative. Built using Rudra servers, which were designed and manufactured in India, it boasts a peak performance of 3.1 PFLOPS. The system was designed and deployed by C-DAC to address the computational needs of IUAC, Delhi, and other research and engineering institutions in the region. It plays a crucial role in advancing research across multiple scientific fields, with a special focus on enhancing studies in material science and atomic physics.

PARAM RUDRA Details

System Specifications
Theoretical Peak Floating-point Performance Total (Rpeak)	3 PFLOPS
Base Specifications (Compute Nodes)	2 X Intel Xeon Gold 6240R, 24 Cores, 2.4 GHz, Processors per node, 192 GB Memory, 800 GB SSD
Master/Service/Login Nodes	20 nos.
CPU only Compute Nodes (Memory)	473 nos. (192GB)
GPU Nodes (Memory)	30 nos. (60 NVIDIA A100 PCle)
GPU Ready Compute Nodes (Memory)	32 nos. (192GB)
High Memory Compute Nodes	64 nos. (768GB)
Total Memory	148.312 TB
Interconnect	Primary: 100Gbps Mellanox Infiniband Interconnect network 100% non-blocking, fat tree topology Secondary: 10G/1G Ethernet Network Management network: 1G Ethernet
Storage	4.4 PiB

CPU Only Compute Nodes
Nodes	473
Cores	22704
Compute Power of Rpeak	1743.4 TFLOPS
Each Node with	2 X Intel Xeon Gold 6240R, 24 cores, 2.4 GHz, processors 192 GB memory 800 GB SSD

GPU Only Compute Nodes
Nodes	30
CPU Cores	1440
Rpeak	924.12 TFLOPS
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz, processors 192 GB Memory 2 x NVIDIA A100 800 GB SSD

GPU Ready Compute Nodes
Nodes	32
CPU Cores	1536
Rpeak	117.952 TFLOPS
Each Node with	2 X Intel Xeon GOLD 6240R, 24 cores, 2.4 GHz, processors 192 GB Memory 800 GB SSD

High Memory Compute Nodes
Nodes	64
CPU Cores	3072
Compute Power of Rpeak	239.50 TFLOPS
Each Node with	2 X Intel Xeon Gold 6240R, 24 cores, 2.4 GHz, processors 768 GB Memory 800 GB SSD

Architecture Diagram:

Software Stack:

Support

For any support, contact: rudrasupport@iuac.res.in

PARAM Rudra Usage Report

Link To Be Added

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

PARAM Smriti

About PARAM Smriti

The supercomputer of 838 TFLOPS capacity, built at the cost of Rs 32.5 crore under the National Super Computing Mission at National Agri-Food and Bio-manufacturing Institute (NABI), Mohali

PARAM Smriti 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 Ethernet
Storage	1PiB PFS based storage

CPU Only Compute Nodes
Nodes	107
Cores	5136
Compute Power of Rpeak	476.6 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	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 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