HB_IO
Harwell Boeing Sparse Matrix Files
Read and Write Utilities


HB_IO is a C++ library which reads and writes files in the Harwell Boeing sparse matrix format.

A special feature of HB_IO is the routine HB_FILE_READ, which can read all the information from an HB file of arbitrary size.

Note that the most common "flavor" of HB file is an assembled sparse matrix, but that there are some lesser used options, including storage of the matrix as unassembled finite element matrices, and corresponding storage of vectors. These secondary options are less well documented, and are only marginally supported in this package.

Licensing:

The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.

Languages:

HB_IO is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version.

Related Data and Programs:

CC_IO, a C++ library which reads and writes sparse linear systems stored in the Compressed Column (CC) format.

HB, a dataset directory which contains a collection of sparse matrices in the HB format.

HB_TO_MSM, a MATLAB program which reads an HB file and converts the matrix to MATLAB's sparse matrix format.

HB_TO_ST, a FORTRAN77 program which converts the sparse matrix information stored in a Harwell-Boeing file into a sparse triplet file.

HBSMC, a dataset directory which contains the Harwell Boeing Sparse Matrix Collection;

LINPLUS, a C++ library which includes routines to manipulate matrices stored in the HB sparse matrix format.

MM_IO, a FORTRAN90 library which reads and writes matrices in the Matrix Market format.

MSM_TO_HB, a MATLAB program which takes a matrix in MATLAB's sparse matrix format and writes it out in the HB format.

ST_IO, a C++ library which reads and writes sparse linear systems stored in the Sparse Triplet (ST) format.

SUPERLU, a C library which includes routines which can read and write matrices in the HB format.

Reference:

  1. Iain Duff, Roger Grimes, John Lewis,
    User's Guide for the Harwell-Boeing Sparse Matrix Collection,
    October 1992.
  2. Iain Duff, Roger Grimes, John Lewis,
    Sparse Matrix Test Problems,
    ACM Transactions on Mathematical Software,
    Volume 15, pages 1-14, March 1989.
  3. http://math.nist.gov/MatrixMarket/data/Harwell-Boeing/ the Matrix Market site.

Source Code:

Examples and Tests:

Data files you may copy include:

List of Routines:

You can go up one level to the C++ source codes.


Last revised on 21 January 2014.