libtrilinos-tpetra-dev 12.12.1-5 / usr / include / trilinos / TbbTsqr_RevealRankTask.hpp

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#ifndef __TSQR_TBB_RevealRankTask_hpp
#define __TSQR_TBB_RevealRankTask_hpp

#include <tbb/task.h>
#include <TbbTsqr_Partitioner.hpp>
#include <Tsqr_SequentialTsqr.hpp>

////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////

namespace TSQR {
  namespace TBB {

    /// \class RevealRankTask
    /// \brief TBB task for recursive TSQR "rank-revealing" phase.
    ///
    /// This part of the factorization doesn't actually reveal the
    /// rank in parallel; we assume that this has already been done
    /// and the columns of U form a basis for the column space of the
    /// R factor (in the QR factorization of the original matrix).
    /// All we need to do here is compute Q*U in parallel, respecting
    /// the original partitioning and cache blocking scheme.
    template<class LocalOrdinal, class Scalar>
    class RevealRankTask : public tbb::task {
    public:
      typedef MatView<LocalOrdinal, Scalar> mat_view_type;
      typedef ConstMatView<LocalOrdinal, Scalar> const_mat_view_type;
      typedef std::pair<mat_view_type, mat_view_type> split_type;
      typedef SequentialTsqr<LocalOrdinal, Scalar> seq_tsqr_type;

      RevealRankTask (const size_t P_first,
                      const size_t P_last,
                      const mat_view_type& Q,
                      const const_mat_view_type& U,
                      const seq_tsqr_type& seq,
                      const bool contiguous_cache_blocks) :
        P_first_ (P_first),
        P_last_ (P_last),
        Q_ (Q),
        U_ (U),
        seq_ (seq),
        contiguous_cache_blocks_ (contiguous_cache_blocks)
      {}

      void
      execute_base_case ()
      {
        // Use SequentialTsqr to compute Q*U for this core's local
        // part of Q.  The method is called "Q_times_B" so that it
        // doesn't suggest any orthogonality of the B input matrix,
        // though in this case B is U and U is orthogonal
        // (resp. unitary if Scalar is complex).
        seq_.Q_times_B (Q_.nrows(), Q_.ncols(), Q_.get(), Q_.lda(),
                        U_.get(), U_.lda(), contiguous_cache_blocks_);
      }

      tbb::task* execute ()
      {
        using tbb::task;

        if (P_first_ > P_last_ || Q_.empty())
          return NULL; // shouldn't get here, but just in case...
        else if (P_first_ == P_last_)
          {
            execute_base_case ();
            return NULL;
          }
        else
          {
            // Recurse on two intervals: [P_first, P_mid] and
            // [P_mid+1, P_last]
            const size_t P_mid = (P_first_ + P_last_) / 2;
            split_type out_split =
              partitioner_.split (Q_, P_first_, P_mid, P_last_,
                                  contiguous_cache_blocks_);
            // The partitioner may decide that the current block Q_
            // has too few rows to be worth splitting.  In that case,
            // out_split.second (the bottom block) will be empty.  We
            // can deal with this by treating it as the base case.
            if (out_split.second.empty() || out_split.second.nrows() == 0)
              {
                execute_base_case ();
                return NULL;
              }

            // "c": continuation task
            tbb::empty_task& c =
              *new( allocate_continuation() ) tbb::empty_task;
            // Recurse on the split
            RevealRankTask& topTask = *new( c.allocate_child() )
              RevealRankTask (P_first_, P_mid, out_split.first, U_,
                              seq_, contiguous_cache_blocks_);
            RevealRankTask& botTask = *new( c.allocate_child() )
              RevealRankTask (P_mid+1, P_last_, out_split.second, U_,
                              seq_, contiguous_cache_blocks_);
            // Set reference count of parent (in this case, the
            // continuation task) to 2 (since 2 children -- no
            // additional task since no waiting).
            c.set_ref_count (2);
            c.spawn (botTask);
            return &topTask; // scheduler bypass optimization
          }
      }

    private:
      size_t P_first_, P_last_;
      mat_view_type Q_;
      const_mat_view_type U_;
      SequentialTsqr<LocalOrdinal, Scalar> seq_;
      Partitioner<LocalOrdinal, Scalar> partitioner_;
      bool contiguous_cache_blocks_;
    };

  } // namespace TBB
} // namespace TSQR


#endif // __TSQR_TBB_RevealRankTask_hpp