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superlu-dist package

superlu-dist 8.1.2+dfsg1-1 source package in Ubuntu

Changelog

superlu-dist (8.1.2+dfsg1-1) unstable; urgency=medium

  * New upstream release.

 -- Drew Parsons <email address hidden>  Fri, 18 Nov 2022 13:45:17 +0100

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

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe misc

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File Size SHA-256 Checksum
superlu-dist_8.1.2+dfsg1-1.dsc 2.4 KiB e717ac0c04651f9f11d1cd12d89776ea73b533fec91f3863d667bf2099594f3b
superlu-dist_8.1.2+dfsg1.orig.tar.xz 647.5 KiB a7f4ef5a7f1841f7a70464b24aa49066f82be1a0718755ff28f04133eb8feb89
superlu-dist_8.1.2+dfsg1-1.debian.tar.xz 10.1 KiB 2c1305b5edb61a2a6f87e2437690c6f207d4fc62e536b352cd97d34c6748c459

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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.
 .
 The main library is libsuperlu_dist.so but a fortran wrapper library
 is also provided as libsuperlu_dist_fortran.so
 .
 This package provides development files for building client
 applications against superlu-dist.

libsuperlu-dist-dev-dbgsym: debug symbols for libsuperlu-dist-dev
libsuperlu-dist8: 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.
 .
 The main library is libsuperlu_dist.so but a fortran wrapper library
 is also provided as libsuperlu_dist_fortran.so
 .
 This package provides the superlu-dist and superlu_dist_fortran
 shared libraries.

libsuperlu-dist8-dbgsym: debug symbols for libsuperlu-dist8