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Physics of Turbulence through Computational and Analytical Tools

Dr. M.K. Verma, Department of Physics

Equipment:

  • 3 Workstations (2 hexacore processors enabled with Nvidia GPU Quadro 4000 and 48 GB memory) generally used for data visualization of large data sets.
  • Chaos cluster, IIT Kanpur (8 nodes with 2 octacore processor and 64 GB memory per node )
  • Newton cluster, Physics department, IIT Kanpur (32 nodes with 2 hexacore processors and 48 GB memory per node)
  • HPC cluster, Computer Centre, IIT Kanpur (464 nodes with 8 cores and 48 GB memory per node)
  • Param Yuva, Centre for Development of Advanced Computing, Pune, India (225 nodes with 2 octacore and 64 GB per node)
  • Bluegene/P, King Abdullah University of Science and Technology, Saudi Arabia (16384 nodes with 4 cores and 4 GB memory per node)

Computaional Nanoscience

Dr. Jayant K. Singh, Department of Chemical Engineering

 There are two separate multi node clusters. Total we have 360 processors (192+168).

  • Agni II:  24 node quad core Nehlem processor, 2.2 GHz on infiniband interconnect.
  • Quanta: 21 node quad core Intel Xeon 2.66 GHz on infiniband interconnect.

Softwares: Our own Monte Carlo codes, LAMMPS, DLPOLY, GAUSSIAN, CPMD, VASP, GROMACS, Material Studio and GULP.

Symmetry Lab

Dr. Anandh Subramaniam, Department of Materials Science and Engineering

Computational Materials Science: Workstations and PCs;

Software: Abaqus, Hypermesh, Tecplot, Surfer.