BLAS2
Matrix-Vector Basic Linear Algebra Subprograms

BLAS2 a C++ library which constitutes the Level 2 Basic Linear Algebra Subprograms (BLAS), for matrix-vector operations.

The BLAS are a small core library of linear algebra utilities, which can be highly optimized for various architectures.

Licensing:

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

Languages:

BLAS2 is available in a C version and a C++ version and a FORTRAN77 version and a FORTRAN90 version and a MATLAB version.

Related Data and Programs:

BLAS, a C++ library which contains the Basic Linear Algebra Subprograms (BLAS) for level 1 (vector-vector operations), level 2 (matrix-vector operations) and level 3 (matrix-matrix operations), for single precision real arithmetic, double precision real arithmetic, single precision complex arithmetic, and double precision complex arithmetic.

Reference:

1. Edward Anderson, Zhaojun Bai, Christian Bischof, Susan Blackford, James Demmel, Jack Dongarra, Jeremy Du Croz, Anne Greenbaum, Sven Hammarling, Alan McKenney, Danny Sorensen,
   LAPACK User's Guide,
   Third Edition,
   SIAM, 1999,
   ISBN: 0898714478,
   LC: QA76.73.F25L36.
2. Jack Dongarra, Jim Bunch, Cleve Moler, Pete Stewart,
   LINPACK User's Guide,
   SIAM, 1979,
   ISBN13: 978-0-898711-72-1,
   LC: QA214.L56.
3. Charles Lawson, Richard Hanson, David Kincaid, Fred Krogh,
   Algorithm 539: Basic Linear Algebra Subprograms for Fortran Usage,
   ACM Transactions on Mathematical Software,
   Volume 5, Number 3, September 1979, pages 308-323.

Source Code:

• blas2.cpp, the source code;
• blas2.hpp, the include file;
• blas2.sh, commands to compile the source code;

Examples and Tests:

• blas2_prb.cpp, a calling program;
• blas2_prb.sh, commands to compile, link, load and run the calling program;
• blas2_prb_output.txt, the output file.

List of Routines:

• DGEMV computes y := alpha * A * x + beta * y for general matrix A.
• DGER computes A := alpha*x*y' + A.
• DTRMV computes x: = A*x or x = A'*x for a triangular matrix A.
• SGEMV computes y := alpha * A * x + beta * y for general matrix A.
• SGER computes A := alpha*x*y' + A.
• STRMV computes x: = A*x or x = A'*x for a triangular matrix A.

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