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superlu-dist package

superlu-dist 6.2.0+dfsg1-3build1 source package in Ubuntu

Changelog

superlu-dist (6.2.0+dfsg1-3build1) focal; urgency=medium

  * No-change rebuild for libgcc-s1 package name change.

 -- Matthias Klose <email address hidden>  Mon, 23 Mar 2020 07:26:19 +0100

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Uploaded by:
Matthias Klose
Uploaded to:
Focal
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Focal release universe misc

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File Size SHA-256 Checksum
superlu-dist_6.2.0+dfsg1.orig.tar.xz 504.3 KiB 20c90134a7b31e8c491da781ca0686dacf59ed8fc7f231de0def0526c6c06511
superlu-dist_6.2.0+dfsg1-3build1.debian.tar.xz 7.7 KiB a5d193d075fc1e220ee164c1e68451cf7cfddbe68cfac561de52ca669d93ac78
superlu-dist_6.2.0+dfsg1-3build1.dsc 2.3 KiB 73d5855a2842f72f83d9e013cec9a5eff1cfc674c1aa19c15b1c9004ccf5ff03

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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-dist-dev-dbgsym: debug symbols for libsuperlu-dist-dev
libsuperlu-dist6: 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-dist6-dbgsym: debug symbols for libsuperlu-dist6