pkgsrc/math/lapack/DESCR
bacon 87edcb24b1 math/blas, math/lapack: Install interchangeable BLAS system
Install the new interchangeable BLAS system created by Thomas Orgis,
currently supporting Netlib BLAS/LAPACK, OpenBLAS, cblas, lapacke, and
Apple's Accelerate.framework.  This system allows the user to select any
BLAS implementation without modifying packages or using package options, by
setting PKGSRC_BLAS_TYPES in mk.conf. See mk/blas.buildlink3.mk for details.

This commit should not alter behavior of existing packages as the system
defaults to Netlib BLAS/LAPACK, which until now has been the only supported
implementation.

Details:

Add new mk/blas.buildlink3.mk for inclusion in dependent packages
Install compatible Netlib math/blas and math/lapack packages
Update math/blas and math/lapack MAINTAINER approved by adam@
OpenBLAS, cblas, and lapacke will follow in separate commits
Update direct dependents to use mk/blas.buildlink3.mk
Perform recursive revbump
2020-10-12 21:51:57 +00:00

22 lines
1.2 KiB
Text

The BLAS (Basic Linear Algebra Subprograms) are high quality "building
block" routines for performing basic vector and matrix
operations. Level 1 BLAS do vector-vector operations, Level 2 BLAS do
matrix-vector operations, and Level 3 BLAS do matrix-matrix
operations. Because the BLAS are efficient, portable, and widely
available, they're commonly used in the development of high quality
linear algebra software, LINPACK and LAPACK for example.
LAPACK is a highly portable Fortran 77 library which provides routines
for solving systems of simultaneous linear equations, least-squares
solutions of linear systems of equations, eigenvalue problems, and
singular value problems. The associated matrix factorizations (LU,
Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are
related computations such as reordering of the Schur factorizations
and estimating condition numbers. Dense and banded matrices are
handled, but not general sparse matrices. In all areas, similar
functionality is provided for real and complex matrices, in both
single and double precision.
This package contains the Fortran 77 reference implementation of BLAS
and LAPACK from Netlib. The C wrappers CBLAS and LAPACKE are provided
in separate packages.