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superlu-dist package

superlu-dist 5.2.2+dfsg1-2 source package in Ubuntu

Changelog

superlu-dist (5.2.2+dfsg1-2) unstable; urgency=medium

  * Team upload.
  * Set generic libblas-dev as first Build-Dep alternative, since
    Debian buildds don't use Build-Depends alternatives (and
    OpenBLAS/ATLAS aren't built on all arches).
    Will still use the system's preferred BLAS at runtime.

 -- Drew Parsons <email address hidden>  Wed, 15 Nov 2017 23:55:56 +0800

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
superlu-dist_5.2.2+dfsg1-2.dsc 2.2 KiB 3613c271cb271bcf3bde7ae77eef107162f512e9a336be638660fb32fdad58a1
superlu-dist_5.2.2+dfsg1.orig.tar.gz 940.7 KiB c3c4e18b663e5bd1d4b57293646bb613aa2ad3c695817afcc46d4aeff5407644
superlu-dist_5.2.2+dfsg1-2.debian.tar.xz 4.7 KiB 510b21b0388a0cf1e898eb83894e77ab8d62123ee04496908228cb40397a4dda

Available diffs

No changes file available.

Binary packages built by this source

libsuperlu-dist-dev: Highly distributed solution of sparse linear equations

 SuperLU is a general purpose library for the direct solution of large,
 sparse, nonsymmetric systems of linear equations. The library is
 written in C and is callable from either C or Fortran program. It uses
 MPI, OpenMP and CUDA to support various forms of parallelism. It
 supports both real and complex datatypes, both single and double
 precision, and 64-bit integer indexing. The library routines performs
 an LU decomposition with partial pivoting and triangular system solves
 through forward and back substitution. The LU factorization routines
 can handle non-square matrices but the triangular solves are performed
 only for square matrices. The matrix columns may be preordered (before
 factorization) either through library or user supplied routines. This
 preordering for sparsity is completely separate from the
 factorization. Working precision iterative refinement subroutines are
 provided for improved backward stability. Routines are also provided
 to equilibrate the system, estimate the condition number, calculate
 the relative backward error, and estimate error bounds for the refined
 solutions.
 .
 SuperLU_DIST implements the algorithms for distributed memory,
 targetting highly parallel distributed memory hybrid systems. The
 numerical factorization routines are already implemented for hybrid
 systems with multiple GPUs. Further work will be needed to implement
 the other phases of the algorithms on the hybrid systems and to
 enhance strong scaling to extreme scale.
 .
 This package provides development files for building client
 applications against superlu-dist.

libsuperlu-dist5: Highly distributed solution of sparse linear equations

 SuperLU is a general purpose library for the direct solution of large,
 sparse, nonsymmetric systems of linear equations. The library is
 written in C and is callable from either C or Fortran program. It uses
 MPI, OpenMP and CUDA to support various forms of parallelism. It
 supports both real and complex datatypes, both single and double
 precision, and 64-bit integer indexing. The library routines performs
 an LU decomposition with partial pivoting and triangular system solves
 through forward and back substitution. The LU factorization routines
 can handle non-square matrices but the triangular solves are performed
 only for square matrices. The matrix columns may be preordered (before
 factorization) either through library or user supplied routines. This
 preordering for sparsity is completely separate from the
 factorization. Working precision iterative refinement subroutines are
 provided for improved backward stability. Routines are also provided
 to equilibrate the system, estimate the condition number, calculate
 the relative backward error, and estimate error bounds for the refined
 solutions.
 .
 SuperLU_DIST implements the algorithms for distributed memory,
 targetting highly parallel distributed memory hybrid systems. The
 numerical factorization routines are already implemented for hybrid
 systems with multiple GPUs. Further work will be needed to implement
 the other phases of the algorithms on the hybrid systems and to
 enhance strong scaling to extreme scale.
 .
 This package provides the superlu-dist shared library.

libsuperlu-dist5-dbgsym: debug symbols for libsuperlu-dist5