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librsb0-1.3.0.1-bp156.2.6 RPM for aarch64

From OpenSuSE Leap 15.6 for aarch64

Name: librsb0 Distribution: SUSE Linux Enterprise 15 SP6
Version: 1.3.0.1 Vendor: openSUSE
Release: bp156.2.6 Build date: Wed May 15 06:00:04 2024
Group: System/Libraries Build host: i02-armsrv1
Size: 4394184 Source RPM: librsb-1.3.0.1-bp156.2.6.src.rpm
Packager: https://bugs.opensuse.org
Url: http://librsb.sf.net/
Summary: Shared memory parallel sparse matrix and sparse BLAS library
librsb is a library for sparse matrix computations featuring the
Recursive Sparse Blocks (RSB) matrix format. This format allows cache
efficient and multi-threaded (that is, shared memory parallel)
operations on large sparse matrices.

librsb implements the Sparse BLAS standard, as specified in the BLAS
Forum documents.

Provides

Requires

License

LGPL-3.0-or-later

Changelog

* Sat Jul 16 2022 Jan Engelhardt <jengelh@inai.de>
  - Update to release 1.3.0.1
    * rsb.h: additional input checks in rsb_mtx_rndr().
    * rsb.hpp: additional input checks in the C++ wrappers.
    * No more unaligned memory access with `rsbench
    - -read-performance-record` (fix for armhf,sparc64 architectures).
* Thu Apr 21 2022 Jan Engelhardt <jengelh@inai.de>
  - Update to release 1.3.0.0
    * Considerably improved performance of rsb_spmm()/usmm() via
      new kernels (can be turned off at runtime by setting
      'RSB_WANT_RSBPP=0' in the environment).
    * Added a C++ API (classes RsbMatrix and RsbLib) in new header
      <rsb.hpp>.
    * Environment variable 'RSB_NUM_THREADS' now used by default
      (implicit configure '--enable-rsb-num-threads').
    * Fixed integer overflow situations with limit-large matrices.
    * Improved parallelism of rsb_spmv()/rsb_spmm() a bit (no
      overly strict locking).
    * Improved performance of rsb_spmv()/rsb_spmm() beta-scaling.
* Tue Nov 02 2021 Jan Engelhardt <jengelh@inai.de>
  - Update to release 1.2.0.10
    * rsb_spmm(...,RSB_FLAG_WANT_ROW_MAJOR_ORDER,...) internals had
      swapped ldB and ldC so having ldB > ldC could lead to a
      crash; with ldC < ldB, to wrong results.
    * rsb_spmm(...,RSB_FLAG_WANT_ROW_MAJOR_ORDER,...) on matrix
      with RSB_FLAG_UNIT_DIAG_IMPLICIT could have computed wrong
      results.
    * rsb_tune_spmm()/rsb_tune_spsm() could have crashed if called
      with order==RSB_FLAG_WANT_ROW_MAJOR_ORDER and auto leading
      dimensions and implicit operands (ldB==0 and Bp==NULL, ldC==0
      and Cp==NULL).
    * rsb_mtx_get_rows_sparse() with: was ignoring
      RSB_TRANSPOSITION_C.
* Thu Dec 24 2020 Jan Engelhardt <jengelh@inai.de>
  - Update to release 1.2.0.9
    * Fixed: rsb_mtx_rndr(..RSB_MARF_EPS) and
      rsb_file_mtx_rndr(..RSB_MARF_EPS): could crash on
      uniform-values matrix input.
    * Fixed: rsb_spmsp was crashing if result matrix has nnz<=rows
    * Fixed: BLAS_zusaxpy and BLAS_cusaxpy in C were crashing
    * Fixed: rsb_sppsp() was ignoring transB and could crash on
      transA
* Thu Mar 05 2020 Jan Engelhardt <jengelh@inai.de>
  - Update to release 1.2.0.8
    * bugfix: rsb_spmv/rsb_spmm/BLAS_cusmv/BLAS_zusmv/BLAS_cusmm/
      BLAS_zusmm could compute wrong values in transpose or
      conjugated transpose on very sparse complex hermitian
      matrices.
* Thu Jul 12 2018 bwiedemann@suse.com
  - Add reproducible.patch and set an explicit memory hierarchy
    to make build reproducible (boo#1100677)
* Tue Dec 26 2017 jengelh@inai.de
  - Update to new upstream release 1.2.0~rc7
    * bugfix: rsb_spmv/rsb_spmm/BLAS_cusmv/BLAS_zusmv/BLAS_cusmm/
      BLAS_zusmm could compute wrong values on complex hermitian
      matrices if rhs imaginary part non null.
    * bugfix: complex conjugated transpose
      rsb_spsv/rsb_spsm/BLAS_cussv/BLAS_zussv/BLAS_cussm/BLAS_zussm
      could compute wrong values if rhs imaginary part non null.
    * bugfix: rsb_sppsp/rsb_mtx_clone would compute scaled
      conjugate of complex matrices wrong if alpha imaginary part
      non null.
    * might detect a forgotten rsb_lib_init() at first matrix
      allocation and return an error.
* Sat Apr 29 2017 jengelh@inai.de
  - Update to new upstream release 1.2.0~rc6
    * BLAS_zusget_element & co will behave one-based in Fortran.
    * rsb_sppsp was summing incorrectly certain non-overlapping
      sparse matrices.
    * rsb_file_mtx_save and rsb_file_vec_save's output use
      full-precision.
  - Add pun.diff
* Thu Oct 20 2016 jengelh@inai.de
  - Update to new upstream release 1.2.0~rc5
    * Fixed EPS rendering of matrices, e.g.
    `./rsbench --plot-matrix -aRzd -f matrix.mtx >matrix.eps`
  - Drop shlib.diff (applied upstream)
* Wed Jun 08 2016 jengelh@inai.de
  - Update to new upstream release 1.2.0~rc3
    * Extension: if parameter flagsA of mtx_set_vals() has
    RSB_FLAG_DUPLICATES_SUM, then values will be summed up into the
    matrix.
    * Bugfix: rsb_mtx_get_nrm on symmetric matrices was buggy.
    * Bugfix: rsb_spsm potentially wrong in --enable-openmp and
    (nrhs>1). (ussm affected)
    * Bugfix: rsb_spsm wrong in --disable-openmp version and
    (nrhs>1). (ussm affected)
    * Bugfix: rsb_spsm used to scale only first rhs when (*alphap!=1
    and nrhs>1). (ussm affected)
    * Bugfix: rsb_spsm used to solve only first rhs when (y != x).
    (ussm not affected)
    * Bugfix: rsb_spmm used to scale only first rhs when (*betap!=1
    and nrhs>1). (usmm not affected)
    * Bugfix: rsb_tune_spmm/rsb_tune_spsm returned (false positive)
    error on ( mtxAp != NULL && mtxOpp != NULL ) rather than on (
    mtxAp != NULL && mtxOpp != NULL && *mtxOpp != NULL ).
    * Will use memset() on systems with no bzero() (e.g. mingw).
* Sun Jan 17 2016 jengelh@inai.de
  - Initial package (versoin 1.2.0~rc2) for build.opensuse.org

Files

/usr/lib64/librsb.so.0
/usr/lib64/librsb.so.0.0.0


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