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#ifndef __CS_ARRAY_REDUCE_H__
#define __CS_ARRAY_REDUCE_H__
/*============================================================================
* Common array reduction operations.
*============================================================================*/
/*
This file is part of the Code_Saturne Kernel, element of the
Code_Saturne CFD tool.
Copyright (C) 1998-2016 EDF S.A., France
contact: saturne-support@edf.fr
The Code_Saturne Kernel is free software; you can redistribute it
and/or modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2 of
the License, or (at your option) any later version.
The Code_Saturne Kernel is distributed in the hope that it will be
useful, but WITHOUT ANY WARRANTY; without even the implied warranty
of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with the Code_Saturne Kernel; if not, write to the
Free Software Foundation, Inc.,
51 Franklin St, Fifth Floor,
Boston, MA 02110-1301 USA
*/
/*----------------------------------------------------------------------------*/
#if defined(HAVE_MPI)
#include <mpi.h>
#endif
/*----------------------------------------------------------------------------
* Local headers
*----------------------------------------------------------------------------*/
#include "cs_defs.h"
#include "cs_mesh.h"
/*----------------------------------------------------------------------------*/
BEGIN_C_DECLS
/*=============================================================================
* Macro definitions
*============================================================================*/
/*============================================================================
* Type definitions
*============================================================================*/
/*=============================================================================
* Public function prototypes
*============================================================================*/
/*----------------------------------------------------------------------------
* Compute sums of an n-dimensional cs_real_t array's components.
*
* The maximum allowed dimension is 9 (allowing for a rank-2 tensor).
* The array is interleaved.
*
* For arrays of dimension 3, the statistics relative to the norm
* are also computed, and added at the end of the statistics arrays
* (which must be size dim+1).
*
* The algorithm here is similar to that used for BLAS, but computes several
* quantities simultaneously for better cache behavior.
*
* Note that for locations with elements shared across ranks
* (such as interior faces and vertices), sums may be incorrect as
* contributions from multiple ranks may be counted several times.
*
* parameters:
* n_elts <-- number of local elements
* v_elt_list <-- optional list of parent elements on which values
* are defined, or NULL
* dim <-- local array dimension (max: 9)
* v <-- pointer to array values
* vsum --> resulting sum array (size: dim, or 4 if dim = 3)
*----------------------------------------------------------------------------*/
void
cs_array_reduce_sum_l(cs_lnum_t n_elts,
int dim,
const cs_lnum_t *v_elt_list,
const cs_real_t v[],
double vsum[]);
/*----------------------------------------------------------------------------
* Compute simple local stats (minima, maxima, sum) of an
* n-dimensional cs_real_t array's components.
*
* The maximum allowed dimension is 9 (allowing for a rank-2 tensor).
* The array is interleaved.
*
* For arrays of dimension 3, the statistics relative to the norm
* are also computed, and added at the end of the statistics arrays
* (which must be size dim+1).
*
* The algorithm here is similar to that used for BLAS, but computes several
* quantities simultaneously for better cache behavior.
*
* Note that for locations with elements shared across ranks
* (such as interior faces and vertices), sums may be incorrect as
* contributions from multiple ranks may be counted several times.
*
* parameters:
* n_elts <-- number of local elements
* dim <-- local array dimension (max: 9)
* v_elt_list <-- optional list of parent elements on which values
* are defined, or NULL
* v <-- pointer to array values
* vmin --> resulting min array (size: dim, or 4 if dim = 3)
* vmax --> resulting max array (size: dim, or 4 if dim = 3)
* vsum --> resulting sum array (size: dim, or 4 if dim = 3)
*----------------------------------------------------------------------------*/
void
cs_array_reduce_simple_stats_l(cs_lnum_t n_elts,
int dim,
const cs_lnum_t *v_elt_list,
const cs_real_t v[],
double vmin[],
double vmax[],
double vsum[]);
/*----------------------------------------------------------------------------*/
/*!
* \brief Compute simple local stats (minima, maxima, sum, weighted sum) of
* an n-dimensional cs_real_t array's components for a given mesh location.
*
* The maximum allowed dimension is 9 (allowing for a rank-2 tensor).
* The array is interleaved.
*
* For arrays of dimension 3, the statistics relative to the norm
* are also computed, and added at the end of the statistics arrays
* (which must be size dim+1).
*
* The algorithm here is similar to that used for BLAS, but computes several
* quantities simultaneously for better cache behavior
*
* parameters:
* n_elts <-- number of local elements
* dim <-- local array dimension (max: 9)
* v_elt_list <-- optional list of parent elements on which values
* are defined, or NULL
* w_elt_list <-- optional list of parent elements on which weights
* are defined, or NULL; if v_elt_list is defined
* (ie. non-NULL),then w_elt_list = v_elt_list is assumed,
* so this parameter is ignored
* v <-- pointer to array values
* w <-- pointer to weights
* vmin --> resulting min array (size: dim, or 4 if dim = 3)
* vmax --> resulting max array (size: dim, or 4 if dim = 3)
* vsum --> resulting sum array (size: dim, or 4 if dim = 3)
* wsum --> resulting weighted sum array (size: dim, or 4 if dim = 3)
*/
/*----------------------------------------------------------------------------*/
void
cs_array_reduce_simple_stats_l_w(cs_lnum_t n_elts,
int dim,
const cs_lnum_t *v_elt_list,
const cs_lnum_t *w_elt_list,
const cs_real_t v[],
const cs_real_t w[],
double vmin[],
double vmax[],
double vsum[],
double wsum[]);
/*----------------------------------------------------------------------------*/
END_C_DECLS
#endif /* __CS_ARRAY_REDUCE_H__ */
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