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High Performance Computing

Georgia State offers three enterprise based high performance computing resources for researchers (Principle Investigators) use. Accounts must be requested by Principle Investigators (PI) who can also manage non-PI requested accounts for students. Each high performance computer has specific data processing storage limitations, please see each resource below to learn more.

Batch Linux Computer (VELA)

Schedule and process Linux jobs rapidly using LSF in batch mode as well as being able to use an interactive queue. VELA is comprised of four IBM System x3850 X5 Servers, each of which has the following specifications.

Specifications

  • Red Hat Enterprise Linux version
  • Intel® Xeon® Processor E7-4850
  • 4 CPUs (10 cores per CPU), 2.0 GHz processors (with Turbo-Boost up to 2.4 GHz)
  • 512 GB RAM
  • 64-bit configuration
  • Access to 1 TB of scratch storage for jobs

Applications

  • Load Sharing Facility (LSF)
  • Gaussian
  • AMMP
  • MATLAB
  • Mathematica
  • STATA
  • SAS
  • The R Project for Statistical Computing
  • NWChem
  • Abinit
  • Gromacs
  • OpenBUGS
  • Plink
  • Dock
  • Trinity
  • VisIt
  • Blast+
  • FastQC
  • AMMP

Compilers

  • GNU Compilers – C, C++, Fortran, Java
  • PETSc
  • MPICH

Libraries

  • BLAS
  • Lapack
  • ATLAS
  • FTTW
  • Valgrind
  • NumPy
  • SciPy

Support

Supercomputer (CARINA)

The IBM Power 7-755 high-performance computing cluster is located in the Petit Science Center, GSU’s state-of-the-art primary research facility. The system name for the IBM P7 is CARINA. Engineered for computationally intense applications, CARINA helps sustain core research in chemistry, physics, biology, neuroscience and other disciplines.

Specifications

  • 640 compute cores – 20 nodes each with 128 GB memory and 32 cores (four 8-core 3.3 Ghz Power 755 processors)
  • Infiniband high-speed interconnects
  • AIX operating system
  • 20 TB of usable disk space, capable of 8 Gbps data transfers
  • 14.1 Teraflops
  • Configured to allow expansion of an additional 20 compute nodes and increased storage
  • Online Disk Quotas- 25GB for home directory | 50GB for archive directory

Applications and Compilers

  • EnginFrame
  • LoadLeveler
  • Gaussian
  • Amber
  • SAS
  • NAMD
  • IBM XL Compilers – C/C++
  • IBM XL Compiler – Fortran
  • GNU Compilers – GCC, GFortran and G++

Packages

  • Engineering and Scientific Subroutine Library (ESSL)
  • Parallel ESSL
  • Parallel Environment
  • Perl Version 5 Runtime Environment
  • Python
  • Java SDK (32-bit and 64-bit)

 
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