libtrilinos-tpetra-dev 12.4.2-2 / usr / include / trilinos / Tsqr_ParTest.hpp

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#ifndef __TSQR_Test_DistTest_hpp
#define __TSQR_Test_DistTest_hpp

#include <Tsqr_ConfigDefs.hpp>
#include <Tsqr_Random_NormalGenerator.hpp>
#include <Tsqr_verifyTimerConcept.hpp>

#include <Tsqr_generateStack.hpp>
#include <Tsqr_DistTsqr.hpp>
#include <Tsqr_GlobalTimeStats.hpp>
#include <Tsqr_GlobalVerify.hpp>
#include <Tsqr_printGlobalMatrix.hpp>

#include <algorithm>
#include <iomanip>
#include <iostream>
#include <vector>


namespace TSQR {
  namespace Test {

    /// \class DistTsqrVerifier
    /// \brief Generic version of \c DistTsqr accuracy test.
    ///
    template<class Ordinal, class Scalar>
    class DistTsqrVerifier {
      TSQR::Random::NormalGenerator<Ordinal, Scalar> gen_;
      Teuchos::RCP<MessengerBase<Ordinal> > const ordinalComm_;
      Teuchos::RCP<MessengerBase<Scalar> > const scalarComm_;
      std::string scalarTypeName_;
      std::ostream& out_;
      std::ostream& err_;
      const bool testFactorExplicit_, testFactorImplicit_;
      const bool humanReadable_, printMatrices_, debug_;

    public:
      typedef Ordinal ordinal_type;
      typedef Scalar scalar_type;
      typedef typename Teuchos::ScalarTraits<scalar_type>::magnitudeType magnitude_type;
      typedef typename std::vector<magnitude_type> result_type;
      typedef Matrix<ordinal_type, scalar_type> matrix_type;

      /// \brief Constructor, with custom seed value
      ///
      /// \param scalarComm [in/out] Communicator object over which to
      ///   test.
      /// \param seed [in] 4-element vector; the random seed input of
      ///   TSQR::Random::NormalGenerator (which see, since there are
      ///   restrictions on the set of valid seeds)
      /// \param scalarTypeName [in] Human-readable name of the Scalar
      ///   template type parameter
      /// \param out [out] Output stream to which to write results
      /// \param err [out] Output stream to which to write any
      ///   debugging outputs (if applicable) or errors
      /// \param testFactorExplicit [in] Whether to test
      ///   DistTsqr::factorExplicit()
      /// \param testFactorImplicit [in] Whether to test
      ///   DistTsqr::factor() and DistTsqr::explicit_Q()
      /// \param humanReadable [in] Whether printed results should be
      ///   easy for humans to read (vs. easy for parsers to parse)
      /// \param debug [in] Whether to write verbose debug output to
      ///   err
      DistTsqrVerifier (const Teuchos::RCP<MessengerBase<Ordinal> >& ordinalComm,
                        const Teuchos::RCP<MessengerBase<Scalar> >& scalarComm,
                        const std::vector<int>& seed,
                        const std::string& scalarTypeName,
                        std::ostream& out,
                        std::ostream& err,
                        const bool testFactorExplicit,
                        const bool testFactorImplicit,
                        const bool humanReadable,
                        const bool printMatrices,
                        const bool debug) :
        gen_ (seed),
        ordinalComm_ (ordinalComm),
        scalarComm_ (scalarComm),
        scalarTypeName_ (scalarTypeName),
        out_ (out),
        err_ (err),
        testFactorExplicit_ (testFactorExplicit),
        testFactorImplicit_ (testFactorImplicit),
        humanReadable_ (humanReadable),
        printMatrices_ (printMatrices),
        debug_ (debug)
      {}

      /// \brief Constructor, with default seed value
      ///
      /// This constructor sets a default seed (for the pseudorandom
      /// number generator), which is the same seed (0,0,0,1) each
      /// time.
      ///
      /// \param scalarComm [in/out] Communicator object over which to
      ///   test.
      /// \param scalarTypeName [in] Human-readable name of the Scalar
      ///   template type parameter
      /// \param out [out] Output stream to which to write results
      /// \param err [out] Output stream to which to write any
      ///   debugging outputs (if applicable) or errors
      /// \param testFactorExplicit [in] Whether to test
      ///   DistTsqr::factorExplicit()
      /// \param testFactorImplicit [in] Whether to test
      ///   DistTsqr::factor() and DistTsqr::explicit_Q()
      /// \param humanReadable [in] Whether printed results should be
      ///   easy for humans to read (vs. easy for parsers to parse)
      /// \param debug [in] Whether to write verbose debug output to
      ///   err
      DistTsqrVerifier (const Teuchos::RCP<MessengerBase<Ordinal> >& ordinalComm,
                        const Teuchos::RCP<MessengerBase<Scalar> >& scalarComm,
                        const std::string& scalarTypeName,
                        std::ostream& out,
                        std::ostream& err,
                        const bool testFactorExplicit,
                        const bool testFactorImplicit,
                        const bool humanReadable,
                        const bool printMatrices,
                        const bool debug) :
        ordinalComm_ (ordinalComm),
        scalarComm_ (scalarComm),
        scalarTypeName_ (scalarTypeName),
        out_ (out),
        err_ (err),
        testFactorExplicit_ (testFactorExplicit),
        testFactorImplicit_ (testFactorImplicit),
        humanReadable_ (humanReadable),
        printMatrices_ (printMatrices),
        debug_ (debug)
      {}

      /// \brief Get seed vector for pseudorandom number generator
      ///
      /// Fill seed (changing size of vector as necessary) with the
      /// seed vector used by the pseudorandom number generator.  You
      /// can use this to resume the pseudorandom number stream from
      /// where you last were.
      void
      getSeed (std::vector<int>& seed) const
      {
        gen_.getSeed (seed);
      }

      /// \brief Run the DistTsqr accuracy test
      ///
      /// \param numCols [in] Number of columns in the matrix to test.
      ///   Number of rows := (# MPI processors) * ncols.
      void
      verify (const Ordinal numCols,
              const std::string& additionalFieldNames,
              const std::string& additionalData,
              const bool printFieldNames)
      {
        using std::endl;

        const int myRank = scalarComm_->rank();
        if (debug_)
          {
            scalarComm_->barrier();
            if (myRank == 0)
              err_ << "Verifying DistTsqr:" << endl;
            scalarComm_->barrier();
          }

        // Generate test problem.
        Matrix< Ordinal, Scalar > A_local, Q_local, R;
        testProblem (A_local, Q_local, R, numCols);
        if (debug_)
          {
            scalarComm_->barrier();
            if (myRank == 0)
              err_ << "-- Generated test problem." << endl;
            scalarComm_->barrier();
          }

        // Set up TSQR implementation.
        DistTsqr<Ordinal, Scalar> par;
        par.init (scalarComm_);
        if (debug_)
          {
            scalarComm_->barrier();
            if (myRank == 0)
              err_ << "-- DistTsqr object initialized" << endl << endl;
          }

        // Whether we've printed field names (i.e., column headers)
        // yet.  Only matters for non-humanReadable output.
        bool printedFieldNames = false;

        // Test DistTsqr::factor() and DistTsqr::explicit_Q().
        if (testFactorImplicit_)
          {
            // Factor the matrix A (copied into R, which will be
            // overwritten on output)
            typedef typename DistTsqr<Ordinal, Scalar>::FactorOutput
              factor_output_type;
            factor_output_type factorOutput = par.factor (R.view());
            if (debug_)
              {
                scalarComm_->barrier();
                if (myRank == 0)
                  err_ << "-- Finished DistTsqr::factor" << endl;
              }
            // Compute the explicit Q factor
            par.explicit_Q (numCols, Q_local.get(), Q_local.lda(), factorOutput);
            if (debug_)
              {
                scalarComm_->barrier();
                if (myRank == 0)
                  err_ << "-- Finished DistTsqr::explicit_Q" << endl;
              }
            // Verify the factorization
            result_type result =
              global_verify (numCols, numCols, A_local.get(), A_local.lda(),
                             Q_local.get(), Q_local.lda(), R.get(), R.lda(),
                             scalarComm_.get());
            if (debug_)
              {
                scalarComm_->barrier();
                if (myRank == 0)
                  err_ << "-- Finished global_verify" << endl;
              }
            reportResults ("DistTsqr", numCols, result,
                           additionalFieldNames, additionalData,
                           printFieldNames && (! printedFieldNames));
            if (printFieldNames && (! printedFieldNames))
              printedFieldNames = true;
          }

        // Test DistTsqr::factorExplicit()
        if (testFactorExplicit_)
          {
            // Factor the matrix and compute the explicit Q factor, both
            // in a single operation.
            par.factorExplicit (R.view(), Q_local.view());
            if (debug_)
              {
                scalarComm_->barrier();
                if (myRank == 0)
                  err_ << "-- Finished DistTsqr::factorExplicit" << endl;
              }

            if (printMatrices_)
              {
                if (myRank == 0)
                  err_ << std::endl << "Computed Q factor:" << std::endl;
                printGlobalMatrix (err_, Q_local, scalarComm_.get(), ordinalComm_.get());
                if (myRank == 0)
                  {
                    err_ << std::endl << "Computed R factor:" << std::endl;
                    print_local_matrix (err_, R.nrows(), R.ncols(), R.get(), R.lda());
                    err_ << std::endl;
                  }
              }

            // Verify the factorization
            result_type result =
              global_verify (numCols, numCols, A_local.get(), A_local.lda(),
                             Q_local.get(), Q_local.lda(), R.get(), R.lda(),
                             scalarComm_.get());
            if (debug_)
              {
                scalarComm_->barrier();
                if (myRank == 0)
                  err_ << "-- Finished global_verify" << endl;
              }
            reportResults ("DistTsqrRB", numCols, result,
                           additionalFieldNames, additionalData,
                           printFieldNames && (! printedFieldNames));
            if (printFieldNames && (! printedFieldNames))
              printedFieldNames = true;
          }
      }

    private:
      /// Report verification results.  Call on ALL MPI processes, not
      /// just Rank 0.
      ///
      /// \param method [in] String to print before reporting results
      /// \param numCols [in] Number of columns in the matrix tested.
      /// \param result [in] (relative residual, orthogonality)
      void
      reportResults (const std::string& method,
                     const Ordinal numCols,
                     const result_type& result,
                     const std::string& additionalFieldNames,
                     const std::string& additionalData,
                     const bool printFieldNames)
      {
        using std::endl;

        const int numProcs = scalarComm_->size();
        const int myRank = scalarComm_->rank();

        if (myRank == 0)
          {
            if (humanReadable_)
              {
                out_ << method << " accuracy results:" << endl
                     << "Scalar type = " << scalarTypeName_ << endl
                     << "Number of columns = " << numCols << endl
                     << "Number of (MPI) processes = " << numProcs << endl
                     << "Absolute residual $\\| A - Q R \\|_2: "
                     << result[0] << endl
                     << "Absolute orthogonality $\\| I - Q^* Q \\|_2$: "
                     << result[1] << endl
                     << "Test matrix norm $\\| A \\|_F$: "
                     << result[2] << endl;
              }
            else
              {
                // Use scientific notation for floating-point numbers
                out_ << std::scientific;

                if (printFieldNames)
                  {
                    out_ << "%method,scalarType,numCols,numProcs"
                      ",absFrobResid,absFrobOrthog,frobA";
                    if (! additionalFieldNames.empty())
                      out_ << "," << additionalFieldNames;
                    out_ << endl;
                  }

                out_ << method
                     << "," << scalarTypeName_
                     << "," << numCols
                     << "," << numProcs
                     << "," << result[0]
                     << "," << result[1]
                     << "," << result[2];
                if (! additionalData.empty())
                  out_ << "," << additionalData;
                out_ << endl;
              }
          }
      }

      void
      testProblem (Matrix< Ordinal, Scalar >& A_local,
                   Matrix< Ordinal, Scalar >& Q_local,
                   Matrix< Ordinal, Scalar >& R,
                   const Ordinal numCols)
      {
        const Ordinal numRowsLocal = numCols;

        // A_local: Space for the matrix A to factor -- local to each
        //   processor.
        //
        // A_global: Global matrix (only nonempty on Proc 0); only
        //   used temporarily.
        Matrix< Ordinal, Scalar > A_global;

        // This modifies A_local on all procs, and A_global on Proc 0.
        par_tsqr_test_problem (gen_, A_local, A_global, numCols, scalarComm_);

        if (printMatrices_)
          {
            const int myRank = scalarComm_->rank();

            if (myRank == 0)
              err_ << "Input matrix A:" << std::endl;
            printGlobalMatrix (err_, A_local, scalarComm_.get(), ordinalComm_.get());
            if (myRank == 0)
              err_ << std::endl;
          }

        // Copy the test problem input into R, since the factorization
        // will overwrite it in place with the final R factor.
        R.reshape (numCols, numCols);
        R.fill (Scalar (0));
        deep_copy (R, A_local);

        // Prepare space in which to construct the explicit Q factor
        // (local component on this processor)
        Q_local.reshape (numRowsLocal, numCols);
        Q_local.fill (Scalar(0));
      }
    };


    /// \class DistTsqrBenchmarker
    /// \brief Generic version of \c DistTsqr performance test.
    ///
    template< class Ordinal, class Scalar, class TimerType >
    class DistTsqrBenchmarker {
      TSQR::Random::NormalGenerator< Ordinal, Scalar > gen_;
      Teuchos::RCP< MessengerBase< Scalar > > scalarComm_;
      Teuchos::RCP< MessengerBase< double > > doubleComm_;
      std::string scalarTypeName_;

      std::ostream& out_;
      std::ostream& err_;
      const bool testFactorExplicit_, testFactorImplicit_;
      const bool humanReadable_, debug_;

    public:
      typedef Ordinal ordinal_type;
      typedef Scalar scalar_type;
      typedef typename Teuchos::ScalarTraits< scalar_type >::magnitudeType magnitude_type;
      typedef TimerType timer_type;

      /// \brief Constructor, with custom seed value
      ///
      /// \param scalarComm [in/out] Communicator object over which
      ///   to test.
      /// \param doubleComm [in/out] Communicator object for doubles,
      ///   used for finding the min and max of timing results over
      ///   all the MPI processes.
      /// \param seed [in] 4-element vector; the random seed input of
      ///   TSQR::Random::NormalGenerator (which see, since there are
      ///   restrictions on the set of valid seeds)
      /// \param scalarTypeName [in] Human-readable name of the Scalar
      ///   template type parameter
      /// \param out [out] Output stream to which to write results
      /// \param err [out] Output stream to which to write any
      ///   debugging outputs (if applicable) or errors
      /// \param testFactorExplicit [in] Whether to test
      ///   DistTsqr::factorExplicit()
      /// \param testFactorImplicit [in] Whether to test
      ///   DistTsqr::factor() and DistTsqr::explicit_Q()
      /// \param humanReadable [in] Whether printed results should be
      ///   easy for humans to read (vs. easy for parsers to parse)
      /// \param debug [in] Whether to write verbose debug output to
      ///   err
      DistTsqrBenchmarker (const Teuchos::RCP< MessengerBase< Scalar > >& scalarComm,
                           const Teuchos::RCP< MessengerBase< double > >& doubleComm,
                           const std::vector<int>& seed,
                           const std::string& scalarTypeName,
                           std::ostream& out,
                           std::ostream& err,
                           const bool testFactorExplicit,
                           const bool testFactorImplicit,
                           const bool humanReadable,
                           const bool debug) :
        gen_ (seed),
        scalarComm_ (scalarComm),
        doubleComm_ (doubleComm),
        scalarTypeName_ (scalarTypeName),
        out_ (out),
        err_ (err),
        testFactorExplicit_ (testFactorExplicit),
        testFactorImplicit_ (testFactorImplicit),
        humanReadable_ (humanReadable),
        debug_ (debug)
      {}

      /// \brief Constructor, with default seed value
      ///
      /// This constructor sets a default seed (for the pseudorandom
      /// number generator), which is the same seed (0,0,0,1) each
      /// time.
      ///
      /// \param scalarComm [in/out] Communicator object over which
      ///   to test.
      /// \param doubleComm [in/out] Communicator object for doubles,
      ///   used for finding the min and max of timing results over
      ///   all the MPI processes.
      /// \param scalarTypeName [in] Human-readable name of the Scalar
      ///   template type parameter
      /// \param out [out] Output stream to which to write results
      /// \param err [out] Output stream to which to write any
      ///   debugging outputs (if applicable) or errors
      /// \param testFactorExplicit [in] Whether to test
      ///   DistTsqr::factorExplicit()
      /// \param testFactorImplicit [in] Whether to test
      ///   DistTsqr::factor() and DistTsqr::explicit_Q()
      /// \param humanReadable [in] Whether printed results should be
      ///   easy for humans to read (vs. easy for parsers to parse)
      /// \param debug [in] Whether to write verbose debug output to
      ///   err
      DistTsqrBenchmarker (const Teuchos::RCP< MessengerBase< Scalar > >& scalarComm,
                           const Teuchos::RCP< MessengerBase< double > >& doubleComm,
                           const std::string& scalarTypeName,
                           std::ostream& out,
                           std::ostream& err,
                           const bool testFactorExplicit,
                           const bool testFactorImplicit,
                           const bool humanReadable,
                           const bool debug) :
        scalarComm_ (scalarComm),
        doubleComm_ (doubleComm),
        scalarTypeName_ (scalarTypeName),
        out_ (out),
        err_ (err),
        testFactorExplicit_ (testFactorExplicit),
        testFactorImplicit_ (testFactorImplicit),
        humanReadable_ (humanReadable),
        debug_ (debug)
      {}

      /// \brief Get seed vector for pseudorandom number generator
      ///
      /// Fill seed (changing size of vector as necessary) with the
      /// seed vector used by the pseudorandom number generator.  You
      /// can use this to resume the pseudorandom number stream from
      /// where you last were.
      void
      getSeed (std::vector<int>& seed) const
      {
        gen_.getSeed (seed);
      }

      /// \brief Run the DistTsqr benchmark
      ///
      /// \param numTrials [in] Number of times to repeat the computation
      ///   in a single timing run
      /// \param numCols [in] Number of columns in the matrix to test.
      ///   Number of rows := (# MPI processors) * ncols
      void
      benchmark (const int numTrials,
                 const Ordinal numCols,
                 const std::string& additionalFieldNames,
                 const std::string& additionalData,
                 const bool printFieldNames)
      {
        using std::endl;

        // Set up test problem.
        Matrix< Ordinal, Scalar > A_local, Q_local, R;
        testProblem (A_local, Q_local, R, numCols);

        // Set up TSQR implementation.
        DistTsqr<Ordinal, Scalar> par;
        par.init (scalarComm_);

        // Whether we've printed field names (i.e., column headers)
        // yet.  Only matters for non-humanReadable output.
        bool printedFieldNames = false;

        if (testFactorImplicit_)
          {
            std::string timerName ("DistTsqr");
            typedef typename DistTsqr<Ordinal, Scalar>::FactorOutput
              factor_output_type;

            // Throw away some number of runs, because some MPI libraries
            // (recent versions of OpenMPI at least) do autotuning for the
            // first few collectives calls.
            const int numThrowAwayRuns = 5;
            for (int runNum = 0; runNum < numThrowAwayRuns; ++runNum)
              {
                // Factor the matrix A (copied into R, which will be
                // overwritten on output)
                factor_output_type factorOutput = par.factor (R.view());
                // Compute the explicit Q factor
                par.explicit_Q (numCols, Q_local.get(), Q_local.lda(), factorOutput);
              }

            // Now do the actual timing runs.  Benchmark DistTsqr
            // (factor() and explicit_Q()) for numTrials trials.
            timer_type timer (timerName);
            timer.start();
            for (int trialNum = 0; trialNum < numTrials; ++trialNum)
              {
                // Factor the matrix A (copied into R, which will be
                // overwritten on output)
                factor_output_type factorOutput = par.factor (R.view());
                // Compute the explicit Q factor
                par.explicit_Q (numCols, Q_local.get(), Q_local.lda(), factorOutput);
              }
            // Cumulative timing on this MPI process.
            // "Cumulative" means the elapsed time of numTrials executions.
            const double localCumulativeTiming = timer.stop();

            // reportResults() must be called on all processes, since this
            // figures out the min and max timings over all processes.
            reportResults (timerName, numTrials, numCols, localCumulativeTiming,
                           additionalFieldNames, additionalData,
                           printFieldNames && (! printedFieldNames));
            if (printFieldNames && (! printedFieldNames))
              printedFieldNames = true;
          }

        if (testFactorExplicit_)
          {
            std::string timerName ("DistTsqrRB");

            // Throw away some number of runs, because some MPI libraries
            // (recent versions of OpenMPI at least) do autotuning for the
            // first few collectives calls.
            const int numThrowAwayRuns = 5;
            for (int runNum = 0; runNum < numThrowAwayRuns; ++runNum)
              {
                par.factorExplicit (R.view(), Q_local.view());
              }

            // Benchmark DistTsqr::factorExplicit() for numTrials trials.
            timer_type timer (timerName);
            timer.start();
            for (int trialNum = 0; trialNum < numTrials; ++trialNum)
              {
                par.factorExplicit (R.view(), Q_local.view());
              }
            // Cumulative timing on this MPI process.
            // "Cumulative" means the elapsed time of numTrials executions.
            const double localCumulativeTiming = timer.stop();

            // Report cumulative (not per-invocation) timing results
            reportResults (timerName, numTrials, numCols, localCumulativeTiming,
                           additionalFieldNames, additionalData,
                           printFieldNames && (! printedFieldNames));
            if (printFieldNames && (! printedFieldNames))
              printedFieldNames = true;

            // Per-invocation timings (for factorExplicit() benchmark
            // only).  localTimings were computed on this MPI process;
            // globalTimings are statistical summaries of those over
            // all MPI processes.  We only collect that data for
            // factorExplicit().
            std::vector< TimeStats > localTimings;
            std::vector< TimeStats > globalTimings;
            par.getFactorExplicitTimings (localTimings);
            for (std::vector< TimeStats >::size_type k = 0; k < localTimings.size(); ++k)
              globalTimings.push_back (globalTimeStats (*doubleComm_, localTimings[k]));
            std::vector< std::string > timingLabels;
            par.getFactorExplicitTimingLabels (timingLabels);

            if (humanReadable_)
              out_ << timerName << " per-invocation benchmark results:" << endl;

            const std::string labelLabel ("label,scalarType");
            for (std::vector< std::string >::size_type k = 0; k < timingLabels.size(); ++k)
              {
                // Only print column headers (i.e., field names) once, if at all.
                const bool printHeaders = (k == 0) && printFieldNames;
                globalTimings[k].print (out_, humanReadable_,
                                        timingLabels[k] + "," + scalarTypeName_,
                                        labelLabel, printHeaders);
              }
          }
      }

    private:
      /// Report timing results to the given output stream
      ///
      /// \param method [in] String to print before reporting results
      /// \param numTrials [in] Number of times to repeat the computation
      ///   in a single timing run
      /// \param numCols [in] Number of columns in the matrix to test.
      ///   Number of rows := (# MPI processors) * ncols
      /// \param timing [in] Total benchmark time, as measured on this
      ///   MPI process.  This may differ on each process; we report
      ///   the min and the max.
      ///
      /// \warning Call on ALL MPI processes, not just Rank 0!
      void
      reportResults (const std::string& method,
                     const int numTrials,
                     const ordinal_type numCols,
                     const double localTiming,
                     const std::string& additionalFieldNames,
                     const std::string& additionalData,
                     const bool printFieldNames)
      {
        using std::endl;

        // Find min and max timing over all MPI processes
        TimeStats localStats;
        localStats.update (localTiming);
        TimeStats globalStats = globalTimeStats (*doubleComm_, localStats);

        // Only Rank 0 prints the final results.
        const bool printResults = (doubleComm_->rank() == 0);
        if (printResults)
          {
            const int numProcs = doubleComm_->size();
            if (humanReadable_)
              {
                out_ << method << " cumulative benchmark results (total time over all trials):" << endl
                     << "Scalar type = " << scalarTypeName_ << endl
                     << "Number of columns = " << numCols << endl
                     << "Number of (MPI) processes = " << numProcs << endl
                     << "Number of trials = " << numTrials << endl
                     << "Min timing (in seconds) = " << globalStats.min() << endl
                     << "Mean timing (in seconds) = " << globalStats.mean() << endl
                     << "Max timing (in seconds) = " << globalStats.max() << endl
                     << endl;
              }
            else
              {
                // Use scientific notation for floating-point numbers
                out_ << std::scientific;

                if (printFieldNames)
                  {
                    out_ << "%method,scalarType,numCols,numProcs,numTrials"
                         << ",minTiming,meanTiming,maxTiming";
                    if (! additionalFieldNames.empty())
                      out_ << "," << additionalFieldNames;
                    out_ << endl;
                  }

                out_ << method
                     << "," << scalarTypeName_
                     << "," << numCols
                     << "," << numProcs
                     << "," << numTrials
                     << "," << globalStats.min()
                     << "," << globalStats.mean()
                     << "," << globalStats.max();
                if (! additionalData.empty())
                  out_ << "," << additionalData;
                out_ << endl;
              }
          }
      }

      void
      testProblem (Matrix< Ordinal, Scalar >& A_local,
                   Matrix< Ordinal, Scalar >& Q_local,
                   Matrix< Ordinal, Scalar >& R,
                   const Ordinal numCols)
      {
        const Ordinal numRowsLocal = numCols;

        // A_local: Space for the matrix A to factor -- local to each
        //   processor.
        //
        // A_global: Global matrix (only nonempty on Proc 0); only
        //   used temporarily.
        Matrix< Ordinal, Scalar > A_global;

        // This modifies A_local on all procs, and A_global on Proc 0.
        par_tsqr_test_problem (gen_, A_local, A_global, numCols, scalarComm_);

        // Copy the test problem input into R, since the factorization
        // will overwrite it in place with the final R factor.
        R.reshape (numCols, numCols);
        deep_copy (R, A_local);

        // Prepare space in which to construct the explicit Q factor
        // (local component on this processor)
        Q_local.reshape (numRowsLocal, numCols);
        Q_local.fill (Scalar(0));
      }

      /// Make sure that timer_type satisfies the TimerType concept.
      ///
      static void
      conceptChecks ()
      {
        verifyTimerConcept< timer_type >();
      }
    };


  } // namespace Test
} // namespace TSQR

#endif // __TSQR_Test_DistTest_hpp