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superlu-dist package

superlu-dist 5.2.2+dfsg1-3 source package in Ubuntu

Changelog

superlu-dist (5.2.2+dfsg1-3) unstable; urgency=medium

  * Team upload.
  * Activate "Parmetis" support via Scotch emulation.
  * Build-Depends: mpi-default-bin, to provide mpiexec for build tests.
  * debian/rules: deactivate OMPI_MCA_plm_rsh_agent to allow OpenMPI
    build-time tests to run.

 -- Drew Parsons <email address hidden>  Fri, 17 Nov 2017 15:38:18 +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+dfsg1-3.dsc 2.3 KiB 5540c80af2a334aadd354f0173e11b6572207a28280973e8a39193a11aba0fab
superlu-dist_5.2.2+dfsg1.orig.tar.gz 940.7 KiB c3c4e18b663e5bd1d4b57293646bb613aa2ad3c695817afcc46d4aeff5407644
superlu-dist_5.2.2+dfsg1-3.debian.tar.xz 4.4 KiB 0dc89c7ab8c8d9ef61d30a1197c001c9480a6d6c2efaaa8d9f8961857795b08a

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