[Librsb-users] librsb-1.2.0 release candidate 0 is out and available for download

[Michele M. <mic...@us...>]

Dear users and friends of librsb,

I write to inform you that librsb-1.2.0-rc0 is out and available
for download.

Main improvements of librsb-1.2 are:

 * faster runtime autotuning of structure and threads for sparse
   matrix-vector/matrix-matrix multiply and triangular solve:
   now uses a parallel merge/subdivision based algorithm 
 * speeded up triangular solution of a matrix by multi-vector
 * introduced extension BLAS property blas_rsb_autotune_next_operation
   to trigger auto tuning at the next USMV/USMM call
 * collection/report of time spent in librsb routines now possible
   (a simple built-in profiler)
 * further Encapsulated PostScript (EPS) matrix rendering options
 * improved benchmark program for large parameter studies (converts
   and reuses matrices rather than re-reading them from disk)
 * binary performance records write/read/combine support, also with
   Intel MKL CSR built-in comparison; LaTeX tables output and stats

Source code, documentation, benchmarks and full change log on:
 http://sourceforge.net/projects/librsb

As always, you are encouraged to provide suggestions, criticism and
test cases.