Kaspar GPU Server

Kaspar is a GPU computing server based on nVidia Fermi C2070 GPU cards, with a peak floating point performance of 2.6 TFlops.

Specifications

  • CPU: dual Xeon X5675, 6 cores/12 threads per processor, 3.06 GHz clock speed, 3.46 GHz Turbo, 6.4GT/s.
  • GPU: 4 x NVIDIA Tesla C2070, 448 CUDA cores, 6GB GDDR5 memory, 0.5 TF peak double precision floating point performance.
  • Memory: 48 GB (12 x 4GB) 1333 MHz DDR3
  • Storage: 2 x 1TB 3Gb/s SATA
  • Operating System: CentOS 6 (64 bit)


 

Compilers/Interpreters

  • C/C++ : gcc/g++ 4.4, Intel C/C++ XE 12.1 (32 & 64 bit)
  • Fortran : gfortran 4.4, Intel Fortran XE 12.1 (includes fortran compiler and Math Kernel Library 10.3 Update 6 - 32 & 64 bit), PGI Fortran compiler v11.7 (64 bit) with CUDA Accelerator for GPU based parallel computing
  • Python: v2.6
  • Perl: v5.10
  • Java: v 1.6 OpenJDK Runtime Environment and 64-Bit Server VM


 

High Performance Computing Tools

  • PGI CUDA Fortran v11.7
  • Intel Parallel Studio XE 2011, update 2 (Intel C/C++ compiler, Fortran compiler, MKL, libraries & error-checking, security, and profiling tools)
  • nVidia CUDA Toolkit 4.1
  • pyCuda 2011.2.2


 

  • Access Request Form (IIA local link)

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    Data Analysis/Visualization Packages

    • IDL 8.0
      • Setup Instructions: None. IDL is ready to use


    • Mathematica 8.0
      • Setup Instructions: None. Mathematica is ready to use


    • A mailing list, kaspar-users is available for users to discuss software/disk-space requirements or any other relevant topics.

      Please contact hpcsupport AT iiap.res.in to log any tickets or requests to install/upgrade software packages.


     

    Usage Help