}
}
- // 2) specialized implementation for inverse-diagonal preconditioner
+ // 2) specialized implementation with a preconditioner and a matrix that
+ // accepts ranges
+ template <
+ typename MatrixType,
+ typename PreconditionerType,
+ typename VectorType,
+ std::enable_if_t<
+ has_vmult_with_std_functions_for_precondition<PreconditionerType,
+ VectorType> &&
+ has_vmult_with_std_functions_for_precondition<MatrixType, VectorType>,
+ int> * = nullptr>
+ void
+ step_operations(const MatrixType & A,
+ const PreconditionerType &preconditioner,
+ VectorType & dst,
+ const VectorType & src,
+ const double relaxation,
+ VectorType & tmp,
+ VectorType &,
+ const unsigned int i,
+ const bool transposed)
+ {
+ using Number = typename VectorType::value_type;
+
+ if (i == 0)
+ {
+ Number * dst_ptr = dst.begin();
+ const Number *src_ptr = src.begin();
+
+ preconditioner.vmult(
+ dst,
+ src,
+ [&](const unsigned int start_range, const unsigned int end_range) {
+ // zero 'dst' before running the vmult operation
+ if (end_range > start_range)
+ std::memset(dst.begin() + start_range,
+ 0,
+ sizeof(Number) * (end_range - start_range));
+ },
+ [&](const unsigned int start_range, const unsigned int end_range) {
+ if (relaxation == 1.0)
+ return; // nothing to do
+
+ const auto src_ptr = src.begin();
+ const auto dst_ptr = dst.begin();
+
+ DEAL_II_OPENMP_SIMD_PRAGMA
+ for (std::size_t i = start_range; i < end_range; ++i)
+ dst_ptr[i] *= relaxation;
+ });
+ }
+ else
+ {
+ tmp.reinit(src, true);
+
+ Assert(transposed == false, ExcNotImplemented());
+
+ A.vmult(
+ tmp,
+ src,
+ [&](const unsigned int start_range, const unsigned int end_range) {
+ // zero 'tmp' before running the vmult
+ // operation
+ if (end_range > start_range)
+ std::memset(tmp.begin() + start_range,
+ 0,
+ sizeof(Number) * (end_range - start_range));
+ },
+ [&](const unsigned int start_range, const unsigned int end_range) {
+ const auto src_ptr = src.begin();
+ const auto tmp_ptr = tmp.begin();
+
+ if (relaxation == 1.0)
+ {
+ DEAL_II_OPENMP_SIMD_PRAGMA
+ for (std::size_t i = start_range; i < end_range; ++i)
+ tmp_ptr[i] = src_ptr[i] - tmp_ptr[i];
+ }
+ else
+ {
+ // note: we scale the residual here to be able to add into
+ // the dst vector, which contains the solution from the last
+ // iteration
+ DEAL_II_OPENMP_SIMD_PRAGMA
+ for (std::size_t i = start_range; i < end_range; ++i)
+ tmp_ptr[i] = relaxation * (src_ptr[i] - tmp_ptr[i]);
+ }
+ });
+
+ preconditioner.vmult(dst, tmp);
+ }
+ }
+
+ // 3) specialized implementation for inverse-diagonal preconditioner
template <typename MatrixType,
typename VectorType,
- std::enable_if_t<
- !IsBlockVector<VectorType>::value &&
- !has_vmult_with_std_functions<MatrixType,
- VectorType,
- DiagonalMatrix<VectorType>>,
- VectorType> * = nullptr>
+ std::enable_if_t<!IsBlockVector<VectorType>::value &&
+ !has_vmult_with_std_functions<
+ MatrixType,
+ VectorType,
+ dealii::DiagonalMatrix<VectorType>>,
+ VectorType> * = nullptr>
void
- step_operations(const MatrixType & A,
- const DiagonalMatrix<VectorType> &preconditioner,
- VectorType & dst,
- const VectorType & src,
- const double relaxation,
- VectorType & tmp,
+ step_operations(const MatrixType & A,
+ const dealii::DiagonalMatrix<VectorType> &preconditioner,
+ VectorType & dst,
+ const VectorType & src,
+ const double relaxation,
+ VectorType & tmp,
VectorType &,
const unsigned int i,
const bool transposed)