/usr/include/trilinos/KokkosKernels_GaussSeidel.hpp is in libtrilinos-kokkos-kernels-dev 12.12.1-5.
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// KokkosKernels 0.9: Linear Algebra and Graph Kernels
// Copyright 2017 Sandia Corporation
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#ifndef _KOKKOS_GAUSSSEIDEL_HPP
#define _KOKKOS_GAUSSSEIDEL_HPP
#include "KokkosKernels_Handle.hpp"
#include "KokkosKernels_GaussSeidel_impl.hpp"
namespace KokkosKernels{
namespace Experimental{
namespace Graph{
template <typename KernelHandle, typename lno_row_view_t_, typename lno_nnz_view_t_>
void gauss_seidel_symbolic(
KernelHandle *handle,
typename KernelHandle::nnz_lno_t num_rows,
typename KernelHandle::nnz_lno_t num_cols,
lno_row_view_t_ row_map,
lno_nnz_view_t_ entries,
bool is_graph_symmetric = true){
typedef typename Impl::GaussSeidel<KernelHandle, lno_row_view_t_,
lno_nnz_view_t_, typename KernelHandle::in_scalar_nnz_view_t> SGS;
SGS sgs(handle,num_rows, num_cols, row_map, entries, is_graph_symmetric);
sgs.initialize_symbolic();
}
template <typename KernelHandle,
typename lno_row_view_t_,
typename lno_nnz_view_t_,
typename scalar_nnz_view_t_>
void gauss_seidel_numeric(KernelHandle *handle,
typename KernelHandle::nnz_lno_t num_rows,
typename KernelHandle::nnz_lno_t num_cols,
lno_row_view_t_ row_map,
lno_nnz_view_t_ entries,
scalar_nnz_view_t_ values,
bool is_graph_symmetric = true
){
typedef typename Impl::GaussSeidel
<KernelHandle,lno_row_view_t_,
lno_nnz_view_t_,scalar_nnz_view_t_> SGS;
SGS sgs(handle, num_rows, num_cols, row_map, entries, values, is_graph_symmetric);
sgs.initialize_numeric();
}
template <typename KernelHandle,
typename lno_row_view_t_,
typename lno_nnz_view_t_,
typename scalar_nnz_view_t_,
typename x_scalar_view_t,
typename y_scalar_view_t>
void symmetric_gauss_seidel_apply(KernelHandle *handle,
typename KernelHandle::nnz_lno_t num_rows,
typename KernelHandle::nnz_lno_t num_cols,
lno_row_view_t_ row_map,
lno_nnz_view_t_ entries,
scalar_nnz_view_t_ values,
x_scalar_view_t x_lhs_output_vec,
y_scalar_view_t y_rhs_input_vec,
bool init_zero_x_vector = false,
bool update_y_vector = true,
int numIter = 1){
typedef
typename Impl::GaussSeidel
<KernelHandle,
lno_row_view_t_, lno_nnz_view_t_,scalar_nnz_view_t_ > SGS;
SGS sgs(handle, num_rows, num_cols, row_map, entries, values);
sgs.apply(
x_lhs_output_vec,
y_rhs_input_vec,
init_zero_x_vector,
numIter,
true,
true,update_y_vector);
}
template <class KernelHandle,
typename lno_row_view_t_,
typename lno_nnz_view_t_,
typename scalar_nnz_view_t_,
typename x_scalar_view_t, typename y_scalar_view_t>
void forward_sweep_gauss_seidel_apply(
KernelHandle *handle,
typename KernelHandle::nnz_lno_t num_rows,
typename KernelHandle::nnz_lno_t num_cols,
lno_row_view_t_ row_map,
lno_nnz_view_t_ entries,
scalar_nnz_view_t_ values,
x_scalar_view_t x_lhs_output_vec,
y_scalar_view_t y_rhs_input_vec,
bool init_zero_x_vector = false,
bool update_y_vector = true,
int numIter = 1){
typedef typename Impl::GaussSeidel <KernelHandle,
lno_row_view_t_, lno_nnz_view_t_,scalar_nnz_view_t_ > SGS;
SGS sgs(handle, num_rows, num_cols, row_map, entries, values);
sgs.apply(
x_lhs_output_vec,
y_rhs_input_vec,
init_zero_x_vector,
numIter,
true,
false,update_y_vector);
}
template <class KernelHandle,
typename lno_row_view_t_,
typename lno_nnz_view_t_,
typename scalar_nnz_view_t_,
typename x_scalar_view_t, typename y_scalar_view_t>
void backward_sweep_gauss_seidel_apply(
KernelHandle *handle,
typename KernelHandle::nnz_lno_t num_rows,
typename KernelHandle::nnz_lno_t num_cols,
lno_row_view_t_ row_map,
lno_nnz_view_t_ entries,
scalar_nnz_view_t_ values,
x_scalar_view_t x_lhs_output_vec,
y_scalar_view_t y_rhs_input_vec,
bool init_zero_x_vector = false,
bool update_y_vector = true,
int numIter = 1){
typedef typename Impl::GaussSeidel <KernelHandle,
lno_row_view_t_, lno_nnz_view_t_,scalar_nnz_view_t_ > SGS;
SGS sgs(handle, num_rows, num_cols, row_map, entries, values);
sgs.apply(
x_lhs_output_vec,
y_rhs_input_vec,
init_zero_x_vector,
numIter,
false,
true, update_y_vector);
}
}
}
}
#endif
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