HIGH PERFORMANCE COMPUTING ENVIRONMENT The High Performance Computing environment consists of high-end systems used for executing complex number crunching.

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Presentation transcript:

HIGH PERFORMANCE COMPUTING ENVIRONMENT The High Performance Computing environment consists of high-end systems used for executing complex number crunching applications for research it has two such machines and they are,  LIBRA (GPU) Cluster.  VIRGO Super cluster.

IBM's VIRGO SUPERCLUSTER

FDR 10 Infiniband Inter Processor Communication Network 298 IBM System x iDataPlex dx360 M4 Servers SAN Switch - 2SAN Switch Gbps Ethernet xCAT Management Network PFS - 1PFS - 2NFS VIRGO

System Configuration  292 Compute Nodes  2 Master Nodes  4 Storage Nodes  Total Compute Power 97 TFlops  IBM System x iDataPlex dx360 M4 Highly Optimized Servers for HPC  Populated with 2 X Intel E C 2.6 GHz Processor  A total of 64 GB RAM per node with 8 X 8 GB 1600 MHz DIMM connected in a fully balanced mode.  Low powered Mezzanine Adapter for FDR10 Infiniband based Inter processor communication

Storage Configuration  2 Storage Subsystem for PFS and 1 Storage Subsystem for NAS.  Fine Tuned Redundant SAN Switch  IBM DS3500 Series of Storage System  Total PFS Capacity 160 TB  Total NAS Capacity 50 TB

Virgo Highlights  Ranked 4 th in India  Ranked 224 th in the world  Fastest in Indian Academic Institutions  1 st in India  5 th in the world Rmax of TF Rpeak of TF Efficiency is 932 MFlop/Watt

Software Stack Commercial Software Namd 2.9 Gromacs 4.0.7,4.5.5 Ansys 11,12 Abaqus 6.10,.6.11 Fluent 6.3 OpenFoam Comsol 4.3 Mathematica 8,9 Matlab 2012a,2012b Lammps (parallel) Gaussian 9 version A.02 Allinea Novell SuSE Enterprise Linux with SP2 Extreme Cluster Administration Toolkit (xCAT) IBM General Parallel File System IBM Load Leveler Intel Cluster Studio IBM Tivoli Storage Manager Vtunes and Intel Cluster Studio XE

Text File Editor  Gvim/VI editor  Emacs  Gedit Compilers  Gnu compilers  Intel Compilers  Javac  Python 2.7/2.7.3  Cmake  Perl Parallel computing Frameworks  OpenMPI  MPIch  Intel-MPI Scientific Libraries  FFTW  HDF5  MKL  GNU Scientific Library  BLAS  LAPACK  LAPACK ++ Open Source Software  Open foam  Scilab Interpreters and Runtime Environments  Java  Python 2.7/2.7.3  Numpy Visualization Software  Gnuplot 4.0 Debugger  Gnu gdb  Intel idb

Libra Cluster  1 Head Node on HP Proliant DL380 G7 servers with Dual Processors, Six-Core Intel Xeon 5670 series processors with 24GB RAM and 146gb of SAS Hard disk.  8 nodes based on HP Proliant SL390s server of Dual processor, Six-core, Intel Xeon X5675 Processors with 3 Telsa M2070 GPU card and 146gb of SAS Hard disk in each node.

GPU Schematic

The GPU Cluster consist of One head node and 8 compute nodes and storage which achieves a performance of 6TFLOPS. Each node entails 3 Tesla GPU's, Intel Xeon with 12 CPU's and 10TB of shared storage. GPU Hardware