SVDInfo GolubReinsch ( Matrix<Field>& A, Matrix<Base<Field>>& s, const SVDCtrl<Base<Field>>& ctrl ) { EL_DEBUG_CSE const Int m = A.Height(); const Int n = A.Width(); SVDInfo info; // Bidiagonalize A Timer timer; Matrix<Field> householderScalarsP, householderScalarsQ; if( ctrl.time ) timer.Start(); Bidiag( A, householderScalarsP, householderScalarsQ ); if( ctrl.time ) Output("Reduction to bidiagonal: ",timer.Stop()," seconds"); // Compute the singular values of the bidiagonal matrix const UpperOrLower uplo = ( m>=n ? UPPER : LOWER ); const Int offdiagonal = ( uplo==UPPER ? 1 : -1 ); auto mainDiag = GetRealPartOfDiagonal( A ); auto offDiag = GetRealPartOfDiagonal( A, offdiagonal ); if( ctrl.time ) timer.Start(); info.bidiagSVDInfo = BidiagSVD( uplo, mainDiag, offDiag, s, ctrl.bidiagSVDCtrl ); if( ctrl.time ) Output("Bidiag SVD: ",timer.Stop()," seconds"); return info; }
SVDInfo GolubReinsch ( DistMatrix<Field>& A, AbstractDistMatrix<Base<Field>>& s, const SVDCtrl<Base<Field>>& ctrl ) { EL_DEBUG_CSE const Int m = A.Height(); const Int n = A.Width(); const Grid& g = A.Grid(); SVDInfo info; // Bidiagonalize A Timer timer; DistMatrix<Field,STAR,STAR> householderScalarsP(g), householderScalarsQ(g); if( ctrl.time && g.Rank() == 0 ) timer.Start(); Bidiag( A, householderScalarsP, householderScalarsQ ); if( ctrl.time && g.Rank() == 0 ) Output("Reduction to bidiagonal: ",timer.Stop()," seconds"); // Grab copies of the diagonal and sub/super-diagonal of A const UpperOrLower uplo = ( m>=n ? UPPER : LOWER ); const Int offdiagonal = ( uplo==UPPER ? 1 : -1 ); auto mainDiag = GetRealPartOfDiagonal(A); auto offDiag = GetRealPartOfDiagonal(A,offdiagonal); if( ctrl.time && g.Rank() == 0 ) timer.Start(); info.bidiagSVDInfo = BidiagSVD( uplo, mainDiag, offDiag, s, ctrl.bidiagSVDCtrl ); if( ctrl.time && g.Rank() == 0 ) Output("Bidiag SVD: ",timer.Stop()," seconds"); return info; }
inline void SimpleSingularValuesUpper ( DistMatrix<Complex<Real> >& A, DistMatrix<Real,VR,STAR>& s ) { #ifndef RELEASE PushCallStack("svd::SimpleSingularValuesUpper"); #endif typedef Complex<Real> C; const int m = A.Height(); const int n = A.Width(); const int k = std::min( m, n ); const int offdiagonal = ( m>=n ? 1 : -1 ); const char uplo = ( m>=n ? 'U' : 'L' ); const Grid& g = A.Grid(); // Bidiagonalize A DistMatrix<C,STAR,STAR> tP(g), tQ(g); Bidiag( A, tP, tQ ); // Grab copies of the diagonal and sub/super-diagonal of A DistMatrix<Real,MD,STAR> d_MD_STAR( g ), e_MD_STAR( g ); A.GetRealPartOfDiagonal( d_MD_STAR ); A.GetRealPartOfDiagonal( e_MD_STAR, offdiagonal ); // In order to use serial QR kernels, we need the full bidiagonal matrix // on each process // // NOTE: lapack::BidiagQRAlg expects e to be of length k DistMatrix<Real,STAR,STAR> d_STAR_STAR( d_MD_STAR ); DistMatrix<Real,STAR,STAR> eHat_STAR_STAR( k, 1, g ); DistMatrix<Real,STAR,STAR> e_STAR_STAR( g ); e_STAR_STAR.View( eHat_STAR_STAR, 0, 0, k-1, 1 ); e_STAR_STAR = e_MD_STAR; // Compute the singular values of the bidiagonal matrix lapack::BidiagQRAlg ( uplo, k, 0, 0, d_STAR_STAR.LocalBuffer(), e_STAR_STAR.LocalBuffer(), (C*)0, 1, (C*)0, 1 ); // Copy out the appropriate subset of the singular values s = d_STAR_STAR; #ifndef RELEASE PopCallStack(); #endif }
inline void GolubReinschUpper ( DistMatrix<F>& A, DistMatrix<BASE(F),VR,STAR>& s ) { #ifndef RELEASE CallStackEntry entry("svd::GolubReinschUpper"); #endif typedef BASE(F) Real; const Int m = A.Height(); const Int n = A.Width(); const Int k = Min( m, n ); const Int offdiagonal = ( m>=n ? 1 : -1 ); const Grid& g = A.Grid(); // Bidiagonalize A DistMatrix<F,STAR,STAR> tP(g), tQ(g); Bidiag( A, tP, tQ ); // Grab copies of the diagonal and sub/super-diagonal of A DistMatrix<Real,MD,STAR> d_MD_STAR(g), e_MD_STAR(g); A.GetRealPartOfDiagonal( d_MD_STAR ); A.GetRealPartOfDiagonal( e_MD_STAR, offdiagonal ); // In order to use serial DQDS kernels, we need the full bidiagonal matrix // on each process // // NOTE: lapack::BidiagDQDS expects e to be of length k DistMatrix<Real,STAR,STAR> d_STAR_STAR( d_MD_STAR ), eHat_STAR_STAR( k, 1, g ), e_STAR_STAR( g ); View( e_STAR_STAR, eHat_STAR_STAR, 0, 0, k-1, 1 ); e_STAR_STAR = e_MD_STAR; // Compute the singular values of the bidiagonal matrix via DQDS lapack::BidiagDQDS( k, d_STAR_STAR.Buffer(), e_STAR_STAR.Buffer() ); // Copy out the appropriate subset of the singular values s = d_STAR_STAR; }
SVDInfo GolubReinsch ( DistMatrix<Field>& A, DistMatrix<Field>& U, AbstractDistMatrix<Base<Field>>& s, DistMatrix<Field>& V, const SVDCtrl<Base<Field>>& ctrl ) { EL_DEBUG_CSE const Int m = A.Height(); const Int n = A.Width(); const bool avoidU = !ctrl.bidiagSVDCtrl.wantU; const bool avoidV = !ctrl.bidiagSVDCtrl.wantV; const Grid& g = A.Grid(); if( avoidU && avoidV ) { return SVD( A, s, ctrl ); } SVDInfo info; // Bidiagonalize A Timer timer; DistMatrix<Field,STAR,STAR> householderScalarsP(g), householderScalarsQ(g); if( ctrl.time && g.Rank() == 0 ) timer.Start(); Bidiag( A, householderScalarsP, householderScalarsQ ); if( ctrl.time && g.Rank() == 0 ) Output("Reduction to bidiagonal: ",timer.Stop()," seconds"); // Grab copies of the diagonal and sub/super-diagonal of A const UpperOrLower uplo = ( m>=n ? UPPER : LOWER ); const Int offdiagonal = ( m>=n ? 1 : -1 ); auto mainDiag = GetRealPartOfDiagonal(A); auto offDiag = GetRealPartOfDiagonal(A,offdiagonal); // Run the bidiagonal SVD if( ctrl.time && g.Rank() == 0 ) timer.Start(); if( m == n || (m > n && avoidU) || (m < n && avoidV) ) { // There is no need to work on a subset of U or V info.bidiagSVDInfo = BidiagSVD( uplo, mainDiag, offDiag, U, s, V, ctrl.bidiagSVDCtrl ); } else if( m > n ) { // We need to work on a subset of U DistMatrix<Field> USub(g); info.bidiagSVDInfo = BidiagSVD( uplo, mainDiag, offDiag, USub, s, V, ctrl.bidiagSVDCtrl ); // Copy USub into U const Int UWidth = USub.Width(); Identity( U, m, UWidth ); auto UTop = U( IR(0,n), ALL ); UTop = USub; } else if( m < n ) { // We need to work on a subset of V DistMatrix<Field> VSub(g); info.bidiagSVDInfo = BidiagSVD( uplo, mainDiag, offDiag, U, s, VSub, ctrl.bidiagSVDCtrl ); // Copy VSub into V const Int VWidth = VSub.Width(); Identity( V, n, VWidth ); auto VTop = V( IR(0,m), ALL ); VTop = VSub; } if( ctrl.time ) { mpi::Barrier( g.Comm() ); if( g.Rank() == 0 ) Output("Bidiag SVD: ",timer.Stop()," seconds"); } // Backtransform U and V if( ctrl.time && g.Rank() == 0 ) timer.Start(); if( !avoidU ) bidiag::ApplyQ( LEFT, NORMAL, A, householderScalarsQ, U ); if( !avoidV ) bidiag::ApplyP( LEFT, NORMAL, A, householderScalarsP, V ); if( ctrl.time && g.Rank() == 0 ) Output("GolubReinsch backtransformation: ",timer.Stop()," seconds"); return info; }
SVDInfo GolubReinsch ( Matrix<Field>& A, Matrix<Field>& U, Matrix<Base<Field>>& s, Matrix<Field>& V, const SVDCtrl<Base<Field>>& ctrl ) { EL_DEBUG_CSE const Int m = A.Height(); const Int n = A.Width(); const bool avoidU = !ctrl.bidiagSVDCtrl.wantU; const bool avoidV = !ctrl.bidiagSVDCtrl.wantV; if( avoidU && avoidV ) { return SVD( A, s, ctrl ); } SVDInfo info; // Bidiagonalize A Timer timer; Matrix<Field> householderScalarsP, householderScalarsQ; if( ctrl.time ) timer.Start(); Bidiag( A, householderScalarsP, householderScalarsQ ); if( ctrl.time ) Output("Reduction to bidiagonal: ",timer.Stop()," seconds"); // Compute the SVD of the bidiagonal matrix. // (We can guarantee that accumulation was not requested.) const Int offdiagonal = ( m>=n ? 1 : -1 ); const UpperOrLower uplo = ( m>=n ? UPPER : LOWER ); auto mainDiag = GetRealPartOfDiagonal( A ); auto offDiag = GetRealPartOfDiagonal( A, offdiagonal ); if( ctrl.time ) timer.Start(); if( m == n || (m > n && avoidU) || (m < n && avoidV) ) { // There is no need to work on a subset of U or V info.bidiagSVDInfo = BidiagSVD( uplo, mainDiag, offDiag, U, s, V, ctrl.bidiagSVDCtrl ); } else if( m > n ) { // We need to work on a subset of U Matrix<Field> USub; info.bidiagSVDInfo = BidiagSVD( uplo, mainDiag, offDiag, USub, s, V, ctrl.bidiagSVDCtrl ); // Copy USub into U const Int UWidth = USub.Width(); Identity( U, m, UWidth ); auto UTop = U( IR(0,n), ALL ); UTop = USub; } else if( m < n ) { // We need to work on a subset of V Matrix<Field> VSub; info.bidiagSVDInfo = BidiagSVD( uplo, mainDiag, offDiag, U, s, VSub, ctrl.bidiagSVDCtrl ); // Copy VSub into V const Int VWidth = VSub.Width(); Identity( V, n, VWidth ); auto VTop = V( IR(0,m), ALL ); VTop = VSub; } if( ctrl.time ) Output("Bidiag SVD: ",timer.Stop()," seconds"); // Backtransform U and V if( ctrl.time ) timer.Start(); if( !avoidU ) bidiag::ApplyQ( LEFT, NORMAL, A, householderScalarsQ, U ); if( !avoidV ) bidiag::ApplyP( LEFT, NORMAL, A, householderScalarsP, V ); if( ctrl.time ) Output("GolubReinsch backtransformation: ",timer.Stop()," seconds"); return info; }
inline void GolubReinschUpper ( DistMatrix<F>& A, DistMatrix<BASE(F),VR,STAR>& s, DistMatrix<F>& V ) { #ifndef RELEASE CallStackEntry entry("svd::GolubReinschUpper"); #endif typedef BASE(F) Real; const Int m = A.Height(); const Int n = A.Width(); const Int k = Min( m, n ); const Int offdiagonal = ( m>=n ? 1 : -1 ); const char uplo = ( m>=n ? 'U' : 'L' ); const Grid& g = A.Grid(); // Bidiagonalize A DistMatrix<F,STAR,STAR> tP( g ), tQ( g ); Bidiag( A, tP, tQ ); // Grab copies of the diagonal and sub/super-diagonal of A DistMatrix<Real,MD,STAR> d_MD_STAR(g), e_MD_STAR(g); A.GetRealPartOfDiagonal( d_MD_STAR ); A.GetRealPartOfDiagonal( e_MD_STAR, offdiagonal ); // NOTE: lapack::BidiagQRAlg expects e to be of length k DistMatrix<Real,STAR,STAR> d_STAR_STAR( d_MD_STAR ), eHat_STAR_STAR( k, 1, g ), e_STAR_STAR( g ); View( e_STAR_STAR, eHat_STAR_STAR, 0, 0, k-1, 1 ); e_STAR_STAR = e_MD_STAR; // Initialize U and VAdj to the appropriate identity matrices DistMatrix<F,VC,STAR> U_VC_STAR( g ); DistMatrix<F,STAR,VC> VAdj_STAR_VC( g ); U_VC_STAR.AlignWith( A ); VAdj_STAR_VC.AlignWith( V ); Identity( U_VC_STAR, m, k ); Identity( VAdj_STAR_VC, k, n ); // Compute the SVD of the bidiagonal matrix and accumulate the Givens // rotations into our local portion of U and VAdj Matrix<F>& ULoc = U_VC_STAR.Matrix(); Matrix<F>& VAdjLoc = VAdj_STAR_VC.Matrix(); lapack::BidiagQRAlg ( uplo, k, VAdjLoc.Width(), ULoc.Height(), d_STAR_STAR.Buffer(), e_STAR_STAR.Buffer(), VAdjLoc.Buffer(), VAdjLoc.LDim(), ULoc.Buffer(), ULoc.LDim() ); // Make a copy of A (for the Householder vectors) and pull the necessary // portions of U and VAdj into a standard matrix dist. DistMatrix<F> B( A ); if( m >= n ) { DistMatrix<F> AT(g), AB(g); DistMatrix<F,VC,STAR> UT_VC_STAR(g), UB_VC_STAR(g); PartitionDown( A, AT, AB, n ); PartitionDown( U_VC_STAR, UT_VC_STAR, UB_VC_STAR, n ); AT = UT_VC_STAR; MakeZeros( AB ); Adjoint( VAdj_STAR_VC, V ); } else { DistMatrix<F> VT(g), VB(g); DistMatrix<F,STAR,VC> VAdjL_STAR_VC(g), VAdjR_STAR_VC(g); PartitionDown( V, VT, VB, m ); PartitionRight( VAdj_STAR_VC, VAdjL_STAR_VC, VAdjR_STAR_VC, m ); Adjoint( VAdjL_STAR_VC, VT ); MakeZeros( VB ); } // Backtransform U and V bidiag::ApplyU( LEFT, NORMAL, B, tQ, A ); bidiag::ApplyV( LEFT, NORMAL, B, tP, V ); // Copy out the appropriate subset of the singular values s = d_STAR_STAR; }
inline void GolubReinschUpper_FLA ( DistMatrix<F>& A, DistMatrix<BASE(F),VR,STAR>& s, DistMatrix<F>& V ) { #ifndef RELEASE CallStackEntry entry("svd::GolubReinschUpper_FLA"); #endif typedef BASE(F) Real; const Int m = A.Height(); const Int n = A.Width(); const Int k = Min( m, n ); const Int offdiagonal = ( m>=n ? 1 : -1 ); const Grid& g = A.Grid(); // Bidiagonalize A DistMatrix<F,STAR,STAR> tP(g), tQ(g); Bidiag( A, tP, tQ ); // Grab copies of the diagonal and sub/super-diagonal of A DistMatrix<Real,MD,STAR> d_MD_STAR(g), e_MD_STAR(g); A.GetRealPartOfDiagonal( d_MD_STAR ); A.GetRealPartOfDiagonal( e_MD_STAR, offdiagonal ); // In order to use serial QR kernels, we need the full bidiagonal matrix // on each process DistMatrix<Real,STAR,STAR> d_STAR_STAR( d_MD_STAR ), e_STAR_STAR( e_MD_STAR ); // Initialize U and VAdj to the appropriate identity matrices DistMatrix<F,VC,STAR> U_VC_STAR(g), V_VC_STAR(g); U_VC_STAR.AlignWith( A ); V_VC_STAR.AlignWith( V ); Identity( U_VC_STAR, m, k ); Identity( V_VC_STAR, n, k ); FlaSVD ( k, U_VC_STAR.LocalHeight(), V_VC_STAR.LocalHeight(), d_STAR_STAR.Buffer(), e_STAR_STAR.Buffer(), U_VC_STAR.Buffer(), U_VC_STAR.LDim(), V_VC_STAR.Buffer(), V_VC_STAR.LDim() ); // Make a copy of A (for the Householder vectors) and pull the necessary // portions of U and V into a standard matrix dist. DistMatrix<F> B( A ); if( m >= n ) { DistMatrix<F> AT(g), AB(g); DistMatrix<F,VC,STAR> UT_VC_STAR(g), UB_VC_STAR(g); PartitionDown( A, AT, AB, n ); PartitionDown( U_VC_STAR, UT_VC_STAR, UB_VC_STAR, n ); AT = UT_VC_STAR; MakeZeros( AB ); V = V_VC_STAR; } else { DistMatrix<F> VT(g), VB(g); DistMatrix<F,VC,STAR> VT_VC_STAR(g), VB_VC_STAR(g); PartitionDown( V, VT, VB, m ); PartitionDown( V_VC_STAR, VT_VC_STAR, VB_VC_STAR, m ); VT = VT_VC_STAR; MakeZeros( VB ); } // Backtransform U and V bidiag::ApplyU( LEFT, NORMAL, B, tQ, A ); bidiag::ApplyV( LEFT, NORMAL, B, tP, V ); // Copy out the appropriate subset of the singular values s = d_STAR_STAR; }
inline void SimpleSVDUpper ( DistMatrix<Complex<double> >& A, DistMatrix<double,VR,STAR>& s, DistMatrix<Complex<double> >& V ) { #ifndef RELEASE PushCallStack("svd::SimpleSVDUpper"); #endif typedef double Real; typedef Complex<Real> C; const int m = A.Height(); const int n = A.Width(); const int k = std::min( m, n ); const int offdiagonal = ( m>=n ? 1 : -1 ); const char uplo = ( m>=n ? 'U' : 'L' ); const Grid& g = A.Grid(); // Bidiagonalize A DistMatrix<C,STAR,STAR> tP( g ), tQ( g ); Bidiag( A, tP, tQ ); // Grab copies of the diagonal and sub/super-diagonal of A DistMatrix<Real,MD,STAR> d_MD_STAR( g ), e_MD_STAR( g ); A.GetRealPartOfDiagonal( d_MD_STAR ); A.GetRealPartOfDiagonal( e_MD_STAR, offdiagonal ); // In order to use serial QR kernels, we need the full bidiagonal matrix // on each process DistMatrix<Real,STAR,STAR> d_STAR_STAR( d_MD_STAR ), e_STAR_STAR( e_MD_STAR ); // Initialize U and VAdj to the appropriate identity matrices DistMatrix<C,VC,STAR> U_VC_STAR( g ); DistMatrix<C,VC,STAR> V_VC_STAR( g ); U_VC_STAR.AlignWith( A ); V_VC_STAR.AlignWith( V ); Identity( m, k, U_VC_STAR ); Identity( n, k, V_VC_STAR ); // Compute the SVD of the bidiagonal matrix and accumulate the Givens // rotations into our local portion of U and V // NOTE: This _only_ works in the case where m >= n const int numAccum = 32; const int maxNumIts = 30; const int bAlg = 512; std::vector<C> GBuffer( (k-1)*numAccum ), HBuffer( (k-1)*numAccum ); FLA_Bsvd_v_opz_var1 ( k, U_VC_STAR.LocalHeight(), V_VC_STAR.LocalHeight(), numAccum, maxNumIts, d_STAR_STAR.LocalBuffer(), 1, e_STAR_STAR.LocalBuffer(), 1, &GBuffer[0], 1, k-1, &HBuffer[0], 1, k-1, U_VC_STAR.LocalBuffer(), 1, U_VC_STAR.LocalLDim(), V_VC_STAR.LocalBuffer(), 1, V_VC_STAR.LocalLDim(), bAlg ); // Make a copy of A (for the Householder vectors) and pull the necessary // portions of U and V into a standard matrix dist. DistMatrix<C> B( A ); if( m >= n ) { DistMatrix<C> AT( g ), AB( g ); DistMatrix<C,VC,STAR> UT_VC_STAR( g ), UB_VC_STAR( g ); PartitionDown( A, AT, AB, n ); PartitionDown( U_VC_STAR, UT_VC_STAR, UB_VC_STAR, n ); AT = UT_VC_STAR; MakeZeros( AB ); V = V_VC_STAR; } else { DistMatrix<C> VT( g ), VB( g ); DistMatrix<C,VC,STAR> VT_VC_STAR( g ), VB_VC_STAR( g ); PartitionDown( V, VT, VB, m ); PartitionDown ( V_VC_STAR, VT_VC_STAR, VB_VC_STAR, m ); VT = VT_VC_STAR; MakeZeros( VB ); } // Backtransform U and V if( m >= n ) { ApplyPackedReflectors ( LEFT, LOWER, VERTICAL, BACKWARD, UNCONJUGATED, 0, B, tQ, A ); ApplyPackedReflectors ( LEFT, UPPER, HORIZONTAL, BACKWARD, UNCONJUGATED, 1, B, tP, V ); } else { ApplyPackedReflectors ( LEFT, LOWER, VERTICAL, BACKWARD, UNCONJUGATED, -1, B, tQ, A ); ApplyPackedReflectors ( LEFT, UPPER, HORIZONTAL, BACKWARD, UNCONJUGATED, 0, B, tP, V ); } // Copy out the appropriate subset of the singular values s = d_STAR_STAR; #ifndef RELEASE PopCallStack(); #endif }
inline void SimpleSVDUpper ( DistMatrix<Real>& A, DistMatrix<Real,VR,STAR>& s, DistMatrix<Real>& V ) { #ifndef RELEASE PushCallStack("svd::SimpleSVDUpper"); #endif const int m = A.Height(); const int n = A.Width(); const int k = std::min( m, n ); const int offdiagonal = ( m>=n ? 1 : -1 ); const char uplo = ( m>=n ? 'U' : 'L' ); const Grid& g = A.Grid(); // Bidiagonalize A Bidiag( A ); // Grab copies of the diagonal and sub/super-diagonal of A DistMatrix<Real,MD,STAR> d_MD_STAR( g ), e_MD_STAR( g ); A.GetDiagonal( d_MD_STAR ); A.GetDiagonal( e_MD_STAR, offdiagonal ); // In order to use serial QR kernels, we need the full bidiagonal matrix // on each process. // // NOTE: lapack::BidiagQRAlg expects e to be of length k DistMatrix<Real,STAR,STAR> d_STAR_STAR( d_MD_STAR ); DistMatrix<Real,STAR,STAR> eHat_STAR_STAR( k, 1, g ); DistMatrix<Real,STAR,STAR> e_STAR_STAR( g ); e_STAR_STAR.View( eHat_STAR_STAR, 0, 0, k-1, 1 ); e_STAR_STAR = e_MD_STAR; // Initialize U and VTrans to the appropriate identity matrices. DistMatrix<Real,VC,STAR> U_VC_STAR( g ); DistMatrix<Real,STAR,VC> VTrans_STAR_VC( g ); U_VC_STAR.AlignWith( A ); VTrans_STAR_VC.AlignWith( V ); Identity( m, k, U_VC_STAR ); Identity( k, n, VTrans_STAR_VC ); // Compute the SVD of the bidiagonal matrix and accumulate the Givens // rotations into our local portion of U and VTrans Matrix<Real>& ULocal = U_VC_STAR.LocalMatrix(); Matrix<Real>& VTransLocal = VTrans_STAR_VC.LocalMatrix(); lapack::BidiagQRAlg ( uplo, k, VTransLocal.Width(), ULocal.Height(), d_STAR_STAR.LocalBuffer(), e_STAR_STAR.LocalBuffer(), VTransLocal.Buffer(), VTransLocal.LDim(), ULocal.Buffer(), ULocal.LDim() ); // Make a copy of A (for the Householder vectors) and pull the necessary // portions of U and VTrans into a standard matrix dist. DistMatrix<Real> B( A ); if( m >= n ) { DistMatrix<Real> AT( g ), AB( g ); DistMatrix<Real,VC,STAR> UT_VC_STAR( g ), UB_VC_STAR( g ); PartitionDown( A, AT, AB, n ); PartitionDown( U_VC_STAR, UT_VC_STAR, UB_VC_STAR, n ); AT = UT_VC_STAR; MakeZeros( AB ); Transpose( VTrans_STAR_VC, V ); } else { DistMatrix<Real> VT( g ), VB( g ); DistMatrix<Real,STAR,VC> VTransL_STAR_VC( g ), VTransR_STAR_VC( g ); PartitionDown( V, VT, VB, m ); PartitionRight( VTrans_STAR_VC, VTransL_STAR_VC, VTransR_STAR_VC, m ); Transpose( VTransL_STAR_VC, VT ); MakeZeros( VB ); } // Backtransform U and V if( m >= n ) { ApplyPackedReflectors ( LEFT, LOWER, VERTICAL, BACKWARD, 0, B, A ); ApplyPackedReflectors ( LEFT, UPPER, HORIZONTAL, BACKWARD, 1, B, V ); } else { ApplyPackedReflectors ( LEFT, LOWER, VERTICAL, BACKWARD, -1, B, A ); ApplyPackedReflectors ( LEFT, UPPER, HORIZONTAL, BACKWARD, 0, B, V ); } // Copy out the appropriate subset of the singular values s = d_STAR_STAR; #ifndef RELEASE PopCallStack(); #endif }