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Home > VASP > Netcdf (Version 4.0) NCSA: SGI Altix > GAMESS (Version Mar 07) NCSA: Intel 64 Linux Cluster > GAMESS (Version Mar 07) NCSA: SGI Altix > SvPablo > hypre > NAMD (Version 2.6) NCSA: Intel 64 Linux Cluster > ABINIT > NWChem (Version 5.1) NCSA: Intel 64 Linux Cluster > LAPACK > WIEN2k (Version 2006) NCSA: IA-64 Linux Cluster > SuperLU > VProf - The Visual Profiler > vmd > CASTEP > ARPACK > FGSL (Version 0.7) NCSA: SGI Altix > NAMD > PETSc (Version 3.0.0-p5) NCSA: Intel 64 Linux Cluster > FFTW (Version 2.1.5 and 3.1.1) NCSA: SGI Altix > MKL - Math Kernel Library > FFTW (Version 2.1.5) NCSA: Intel 64 Linux Cluster > FFT (Version X) NCSA: Intel 64 Linux Cluster > ScaLAPACK (Version 1.8) NCSA: Intel 64 Linux Cluster > PETSc (Version 2.3.1-p12) NCSA: SGI Altix > MSC/Patran > NAMD (Version 2.6b1) NCSA: IA-64 Linux Cluster > MOLPRO (Version 2009.1) NCSA: SGI Altix > MSC/Nastran > MrBayes > DMol3 > IDL (Version 7.1) NCSA: Intel 64 Linux Cluster > BLACS (Version 1.1) NCSA: IA-64 Linux Cluster > PETSc (Version 2.3.3) NCSA: Intel 64 Linux Cluster > SPRNG (Version 2.0) NCSA: Intel 64 Linux Cluster > FFTW (Version 3.1.2) NCSA: Intel 64 Linux Cluster > GNU Scientific Library (GSL) (Version 1.9) NCSA: SGI Altix > LAPACK NCSA: SGI Altix > DMol (Version 4.4) NCSA: SGI Altix > MKL - Math Kernel Library (Version 7.2, 8, 9) NCSA: IA-64 Linux Cluster > MSC.Marc > WIEN2k > NWChem (Version 5.1) NCSA: IA-64 Linux Cluster > FFTW > ABINIT (Version 5.4.3) NCSA: SGI Altix > GOTO (Version 0.94) NCSA: SGI Altix > Tecplot > ADF > GOTO > GAMESS > SuperLU (Version 3.0) NCSA: Intel 64 Linux Cluster > ScaLAPACK (Version 1.8) NCSA: SGI Altix > DL_POLY NCSA: SGI Altix > GNU Scientific Library (GSL) (Version 1.10) NCSA: Intel 64 Linux Cluster > ATLAS > VASP (Version 4.6) NCSA: IA-64 Linux Cluster > PAPI > TotalView > NCAR Graphics (Version 5.1.0) NCSA: Intel 64 Linux Cluster > FIDAP > MKL - Math Kernel Library (Version 10.0) NCSA: SGI Altix > PARPACK
GENERAL SOFTWARE DESCRIPTION

PARPACK

Short Description: Solves large-scale eigenvalue problems

Long Description:
ARPACK is a collection of serial Fortran77 subroutines designed to solve large eigenvalue problems. It is suitable for both sparse and structured matrices. PARPACK is the extension of ARPACK for solving large scale eigenvalue problems on distributed memory architectures

Category: Mathematics and Statistics

Vendor/Developer: The Department of Computational and Applied Mathematics at Rice University

Vendor Website: http://www.caam.rice.edu/

Software Website: http://www.caam.rice.edu/software/ARPACK/indexold.html

Programming Language:

Terms of Use:

Installed Copies:

IU: IBM JS21 Bladeserver/ PowerPC 970MP processors
NCSA: SGI Altix
NCSA: Intel 64 Linux Cluster (Version - X)

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