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//@HEADER
// ************************************************************************
//
// HPCCG: Simple Conjugate Gradient Benchmark Code
// Copyright (2006) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as
// published by the Free Software Foundation; either version 2.1 of the
// License, or (at your option) any later version.
//
// This library 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
// Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License along with this library; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
// USA
// Questions? Contact Michael A. Heroux (maherou@sandia.gov)
//
// ************************************************************************
//@HEADER
/////////////////////////////////////////////////////////////////////////
// Routine to compute the dot product of two vectors where:
// n - number of vector elements (on this processor)
// x, y - input vectors
// residual - pointer to scalar value, on exit will contain result.
/////////////////////////////////////////////////////////////////////////
#include "ddot.hpp"
int ddot (const int n, const double * const x, const double * const y,
double * const result, double & time_allreduce)
{
double local_result = 0.0;
if (y==x)
#ifdef USING_OMP
#pragma omp parallel for reduction (+:local_result)
#endif
for (int i=0; i<n; i++) local_result += x[i]*x[i];
else
#ifdef USING_OMP
#pragma omp parallel for reduction (+:local_result)
#endif
for (int i=0; i<n; i++) local_result += x[i]*y[i];
#ifdef USING_MPI
// Use MPI's reduce function to collect all partial sums
double t0 = mytimer();
double global_result = 0.0;
MPI_Allreduce(&local_result, &global_result, 1, MPI_DOUBLE, MPI_SUM,
MPI_COMM_WORLD);
*result = global_result;
time_allreduce += mytimer() - t0;
#else
*result = local_result;
#endif
return(0);
}