void configure_impl(vcl_size_t /*kernel_id*/, viennacl::ocl::context & /*context*/, statements_container const & statements, viennacl::ocl::kernel & k, unsigned int & n_arg) const
{
k.global_work_size(0,parameters_.local_size_0*parameters_.num_groups);
k.global_work_size(1,1);
cl_uint size = static_cast<cl_uint>(get_vector_size(statements.data().front()));
k.arg(n_arg++, size/parameters_.simd_width);
}
void configure_range_enqueue_arguments(vcl_size_t kernel_id, statements_type const & statements, viennacl::ocl::kernel & k, unsigned int & n_arg) const{
configure_local_sizes(k, kernel_id);
k.global_work_size(0,local_size_1_*num_groups_);
k.global_work_size(1,1);
scheduler::statement_node const & first_node = statements.front().second;
viennacl::vcl_size_t N = utils::call_on_vector(first_node.lhs, utils::internal_size_fun());
k.arg(n_arg++, cl_uint(N/vector_size_));
}
void configure_range_enqueue_arguments(std::size_t kernel_id, statements_type const & statements, viennacl::ocl::kernel & k, unsigned int & n_arg) const{
configure_local_sizes(k, kernel_id);
k.global_work_size(0,group_size_row_*num_groups_row_);
k.global_work_size(1,group_size_col_*num_groups_col_);
scheduler::statement_node const & first_node = statements.front().second;
k.arg(n_arg++, cl_uint(utils::call_on_matrix(first_node.lhs, utils::internal_size1_fun())));
k.arg(n_arg++, cl_uint(utils::call_on_matrix(first_node.lhs, utils::internal_size2_fun())));
}