History log of /petsc/src/mat/impls/baij/seq/baijmkl/makefile (Results 26 – 29 of 29)
Revision Date Author Comments
# c25d5741 31-Oct-2017 Satish Balay <balay@mcs.anl.gov>

Merge remote-tracking branch 'origin/balay/fix-mkl-sparse/maint' into maint


# 9779e05d 23-Oct-2017 Satish Balay <balay@mcs.anl.gov>

mkl: add mkl_sparse.py as a separate package [as the interface code is organized this way]
and use PETSC_HAVE_MKL_SPARSE to enable/disable this interface code [so that this flag
represents functional

mkl: add mkl_sparse.py as a separate package [as the interface code is organized this way]
and use PETSC_HAVE_MKL_SPARSE to enable/disable this interface code [so that this flag
represents functionality that is more than PETSC_HAVE_MKL flag].

Also disable mkl_sparse, mkl_sparse_optimize for 64-bit-incides

Reported-by: Victor Eijkhout <eijkhout@tacc.utexas.edu>

show more ...


# 13befd7a 14-Sep-2017 Karl Rupp <me@karlrupp.net>

Merge branch 'pr746/irinasok/feature-baijmkl/master'

* pr746/irinasok/feature-baijmkl/master:
Implementation of BAIJMKL matrix type similar to AIJMKL.
Supports MKL calls for MatMult (add and transpo

Merge branch 'pr746/irinasok/feature-baijmkl/master'

* pr746/irinasok/feature-baijmkl/master:
Implementation of BAIJMKL matrix type similar to AIJMKL.
Supports MKL calls for MatMult (add and transposed).
In case if used MKL version does not support mkl_sparse_optimize() (MKL 11.2 and earlier) PETSc default kernels are used.
Test added on configuration step to check if used version of MKL supports column major layout with zero based indexing.
All released versions of MKL do not support such cross case and MatSeqBAIJMKL_create_mkl_handle() converts matrix arrays to one based indexing before passing them to mkl routines.

show more ...


# 7072be85 11-Sep-2017 Irina Sokolova <irina.sokolova@intel.com>

Implementation of baijmkl class that supports mult
and multadd operations using MKL Sparse BLAS IE.
If used version of MKL does not support new API (version 11.3 and
earlier) default PETSc kernels ar

Implementation of baijmkl class that supports mult
and multadd operations using MKL Sparse BLAS IE.
If used version of MKL does not support new API (version 11.3 and
earlier) default PETSc kernels are called

show more ...


12