inline void
Symv
( UpperOrLower uplo,
T alpha, const DistMatrix<T>& A,
const DistMatrix<T>& x,
T beta, DistMatrix<T>& y,
bool conjugate=false )
{
#ifndef RELEASE
CallStackEntry entry("Symv");
if( A.Grid() != x.Grid() || x.Grid() != y.Grid() )
throw std::logic_error
("{A,x,y} must be distributed over the same grid");
if( A.Height() != A.Width() )
throw std::logic_error("A must be square");
if( ( x.Width() != 1 && x.Height() != 1 ) ||
( y.Width() != 1 && y.Height() != 1 ) )
throw std::logic_error("x and y are assumed to be vectors");
const int xLength = ( x.Width()==1 ? x.Height() : x.Width() );
const int yLength = ( y.Width()==1 ? y.Height() : y.Width() );
if( A.Height() != xLength || A.Height() != yLength )
{
std::ostringstream msg;
msg << "Nonconformal Symv: \n"
<< " A ~ " << A.Height() << " x " << A.Width() << "\n"
<< " x ~ " << x.Height() << " x " << x.Width() << "\n"
<< " y ~ " << y.Height() << " x " << y.Width() << "\n";
throw std::logic_error( msg.str() );
}
#endif
const Grid& g = A.Grid();
if( x.Width() == 1 && y.Width() == 1 )
{
// Temporary distributions
DistMatrix<T,MC,STAR> x_MC_STAR(g), z_MC_STAR(g);
DistMatrix<T,MR,STAR> x_MR_STAR(g), z_MR_STAR(g);
DistMatrix<T,MR,MC > z_MR_MC(g);
DistMatrix<T> z(g);
// Begin the algoritm
Scale( beta, y );
x_MC_STAR.AlignWith( A );
x_MR_STAR.AlignWith( A );
z_MC_STAR.AlignWith( A );
z_MR_STAR.AlignWith( A );
z.AlignWith( y );
Zeros( z_MC_STAR, y.Height(), 1 );
Zeros( z_MR_STAR, y.Height(), 1 );
//--------------------------------------------------------------------//
x_MC_STAR = x;
x_MR_STAR = x_MC_STAR;
if( uplo == LOWER )
{
internal::LocalSymvColAccumulateL
( alpha, A, x_MC_STAR, x_MR_STAR, z_MC_STAR, z_MR_STAR, conjugate );
}
else
{
internal::LocalSymvColAccumulateU
( alpha, A, x_MC_STAR, x_MR_STAR, z_MC_STAR, z_MR_STAR, conjugate );
}
z_MR_MC.SumScatterFrom( z_MR_STAR );
z = z_MR_MC;
z.SumScatterUpdate( T(1), z_MC_STAR );
Axpy( T(1), z, y );
//--------------------------------------------------------------------//
x_MC_STAR.FreeAlignments();
x_MR_STAR.FreeAlignments();
z_MC_STAR.FreeAlignments();
z_MR_STAR.FreeAlignments();
z.FreeAlignments();
}
else if( x.Width() == 1 )
{
// Temporary distributions
DistMatrix<T,MC,STAR> x_MC_STAR(g), z_MC_STAR(g);
DistMatrix<T,MR,STAR> x_MR_STAR(g), z_MR_STAR(g);
DistMatrix<T,MR,MC > z_MR_MC(g);
DistMatrix<T> z(g), zTrans(g);
// Begin the algoritm
Scale( beta, y );
x_MC_STAR.AlignWith( A );
x_MR_STAR.AlignWith( A );
z_MC_STAR.AlignWith( A );
z_MR_STAR.AlignWith( A );
z.AlignWith( y );
z_MR_MC.AlignWith( y );
Zeros( z_MC_STAR, y.Width(), 1 );
Zeros( z_MR_STAR, y.Width(), 1 );
//--------------------------------------------------------------------//
x_MC_STAR = x;
x_MR_STAR = x_MC_STAR;
if( uplo == LOWER )
{
internal::LocalSymvColAccumulateL
( alpha, A, x_MC_STAR, x_MR_STAR, z_MC_STAR, z_MR_STAR, conjugate );
}
else
{
internal::LocalSymvColAccumulateU
( alpha, A, x_MC_STAR, x_MR_STAR, z_MC_STAR, z_MR_STAR, conjugate );
}
z.SumScatterFrom( z_MC_STAR );
z_MR_MC = z;
z_MR_MC.SumScatterUpdate( T(1), z_MR_STAR );
Transpose( z_MR_MC, zTrans );
Axpy( T(1), zTrans, y );
//--------------------------------------------------------------------//
x_MC_STAR.FreeAlignments();
x_MR_STAR.FreeAlignments();
z_MC_STAR.FreeAlignments();
z_MR_STAR.FreeAlignments();
z.FreeAlignments();
z_MR_MC.FreeAlignments();
}
else if( y.Width() == 1 )
{
// Temporary distributions
DistMatrix<T,STAR,MC> x_STAR_MC(g), z_STAR_MC(g);
DistMatrix<T,STAR,MR> x_STAR_MR(g), z_STAR_MR(g);
DistMatrix<T,MR, MC> z_MR_MC(g);
DistMatrix<T> z(g), zTrans(g);
// Begin the algoritm
Scale( beta, y );
x_STAR_MC.AlignWith( A );
x_STAR_MR.AlignWith( A );
z_STAR_MC.AlignWith( A );
z_STAR_MR.AlignWith( A );
z.AlignWith( y );
z_MR_MC.AlignWith( y );
Zeros( z_STAR_MC, 1, y.Height() );
Zeros( z_STAR_MR, 1, y.Height() );
//--------------------------------------------------------------------//
x_STAR_MR = x;
x_STAR_MC = x_STAR_MR;
if( uplo == LOWER )
{
internal::LocalSymvRowAccumulateL
( alpha, A, x_STAR_MC, x_STAR_MR, z_STAR_MC, z_STAR_MR, conjugate );
}
else
{
internal::LocalSymvRowAccumulateU
( alpha, A, x_STAR_MC, x_STAR_MR, z_STAR_MC, z_STAR_MR, conjugate );
}
z.SumScatterFrom( z_STAR_MR );
z_MR_MC = z;
z_MR_MC.SumScatterUpdate( T(1), z_STAR_MC );
Transpose( z_MR_MC, zTrans );
Axpy( T(1), zTrans, y );
//--------------------------------------------------------------------//
x_STAR_MC.FreeAlignments();
x_STAR_MR.FreeAlignments();
z_STAR_MC.FreeAlignments();
z_STAR_MR.FreeAlignments();
z.FreeAlignments();
z_MR_MC.FreeAlignments();
}
else
{
// Temporary distributions
DistMatrix<T,STAR,MC> x_STAR_MC(g), z_STAR_MC(g);
DistMatrix<T,STAR,MR> x_STAR_MR(g), z_STAR_MR(g);
DistMatrix<T,MR, MC> z_MR_MC(g);
DistMatrix<T> z(g);
// Begin the algoritm
Scale( beta, y );
x_STAR_MC.AlignWith( A );
x_STAR_MR.AlignWith( A );
z_STAR_MC.AlignWith( A );
z_STAR_MR.AlignWith( A );
z.AlignWith( y );
z_MR_MC.AlignWith( y );
Zeros( z_STAR_MC, 1, y.Width() );
Zeros( z_STAR_MR, 1, y.Width() );
//--------------------------------------------------------------------//
x_STAR_MR = x;
x_STAR_MC = x_STAR_MR;
if( uplo == LOWER )
{
internal::LocalSymvRowAccumulateL
( alpha, A, x_STAR_MC, x_STAR_MR, z_STAR_MC, z_STAR_MR, conjugate );
}
else
{
internal::LocalSymvRowAccumulateU
( alpha, A, x_STAR_MC, x_STAR_MR, z_STAR_MC, z_STAR_MR, conjugate );
}
z_MR_MC.SumScatterFrom( z_STAR_MC );
z = z_MR_MC;
z.SumScatterUpdate( T(1), z_STAR_MR );
Axpy( T(1), z, y );
//--------------------------------------------------------------------//
x_STAR_MC.FreeAlignments();
x_STAR_MR.FreeAlignments();
z_STAR_MC.FreeAlignments();
z_STAR_MR.FreeAlignments();
z.FreeAlignments();
z_MR_MC.FreeAlignments();
}
}
inline void
TrsvLT
( Orientation orientation, UnitOrNonUnit diag,
const DistMatrix<F>& L, DistMatrix<F>& x )
{
#ifndef RELEASE
PushCallStack("internal::TrsvLT");
if( L.Grid() != x.Grid() )
throw std::logic_error("{L,x} must be distributed over the same grid");
if( orientation == NORMAL )
throw std::logic_error("TrsvLT expects a (conjugate-)transpose option");
if( L.Height() != L.Width() )
throw std::logic_error("L must be square");
if( x.Width() != 1 && x.Height() != 1 )
throw std::logic_error("x must be a vector");
const int xLength = ( x.Width() == 1 ? x.Height() : x.Width() );
if( L.Width() != xLength )
throw std::logic_error("Nonconformal TrsvLT");
#endif
const Grid& g = L.Grid();
if( x.Width() == 1 )
{
// Matrix views
DistMatrix<F> L10(g), L11(g);
DistMatrix<F>
xT(g), x0(g),
xB(g), x1(g),
x2(g);
// Temporary distributions
DistMatrix<F,STAR,STAR> L11_STAR_STAR(g);
DistMatrix<F,STAR,STAR> x1_STAR_STAR(g);
DistMatrix<F,MC, STAR> x1_MC_STAR(g);
DistMatrix<F,MC, MR > z1(g);
DistMatrix<F,MR, MC > z1_MR_MC(g);
DistMatrix<F,MR, STAR> z_MR_STAR(g);
// Views of z[MR,* ]
DistMatrix<F,MR,STAR> z0_MR_STAR(g),
z1_MR_STAR(g);
z_MR_STAR.AlignWith( L );
Zeros( x.Height(), 1, z_MR_STAR );
// Start the algorithm
PartitionUp
( x, xT,
xB, 0 );
while( xT.Height() > 0 )
{
RepartitionUp
( xT, x0,
x1,
/**/ /**/
xB, x2 );
const int n0 = x0.Height();
const int n1 = x1.Height();
LockedView( L10, L, n0, 0, n1, n0 );
LockedView( L11, L, n0, n0, n1, n1 );
View( z0_MR_STAR, z_MR_STAR, 0, 0, n0, 1 );
View( z1_MR_STAR, z_MR_STAR, n0, 0, n1, 1 );
x1_MC_STAR.AlignWith( L10 );
z1.AlignWith( x1 );
//----------------------------------------------------------------//
if( x2.Height() != 0 )
{
z1_MR_MC.SumScatterFrom( z1_MR_STAR );
z1 = z1_MR_MC;
Axpy( F(1), z1, x1 );
}
x1_STAR_STAR = x1;
L11_STAR_STAR = L11;
Trsv
( LOWER, orientation, diag,
L11_STAR_STAR.LockedMatrix(),
x1_STAR_STAR.Matrix() );
x1 = x1_STAR_STAR;
x1_MC_STAR = x1_STAR_STAR;
Gemv
( orientation, F(-1),
L10.LockedMatrix(),
x1_MC_STAR.LockedMatrix(),
F(1), z0_MR_STAR.Matrix() );
//----------------------------------------------------------------//
x1_MC_STAR.FreeAlignments();
z1.FreeAlignments();
SlidePartitionUp
( xT, x0,
/**/ /**/
x1,
xB, x2 );
}
}
else
{
// Matrix views
DistMatrix<F> L10(g), L11(g);
DistMatrix<F>
xL(g), xR(g),
x0(g), x1(g), x2(g);
// Temporary distributions
DistMatrix<F,STAR,STAR> L11_STAR_STAR(g);
DistMatrix<F,STAR,STAR> x1_STAR_STAR(g);
DistMatrix<F,STAR,MC > x1_STAR_MC(g);
DistMatrix<F,STAR,MR > z_STAR_MR(g);
// Views of z[* ,MR], which will store updates to x
DistMatrix<F,STAR,MR> z0_STAR_MR(g),
z1_STAR_MR(g);
z_STAR_MR.AlignWith( L );
Zeros( 1, x.Width(), z_STAR_MR );
// Start the algorithm
PartitionLeft( x, xL, xR, 0 );
while( xL.Width() > 0 )
{
RepartitionLeft
( xL, /**/ xR,
x0, x1, /**/ x2 );
const int n0 = x0.Width();
const int n1 = x1.Width();
LockedView( L10, L, n0, 0, n1, n0 );
LockedView( L11, L, n0, n0, n1, n1 );
View( z0_STAR_MR, z_STAR_MR, 0, 0, 1, n0 );
View( z1_STAR_MR, z_STAR_MR, 0, n0, 1, n1 );
x1_STAR_MC.AlignWith( L10 );
//----------------------------------------------------------------//
if( x2.Width() != 0 )
x1.SumScatterUpdate( F(1), z1_STAR_MR );
x1_STAR_STAR = x1;
L11_STAR_STAR = L11;
Trsv
( LOWER, orientation, diag,
L11_STAR_STAR.LockedMatrix(),
x1_STAR_STAR.Matrix() );
x1 = x1_STAR_STAR;
x1_STAR_MC = x1_STAR_STAR;
Gemv
( orientation, F(-1),
L10.LockedMatrix(),
x1_STAR_MC.LockedMatrix(),
F(1), z0_STAR_MR.Matrix() );
//----------------------------------------------------------------//
x1_STAR_MC.FreeAlignments();
SlidePartitionLeft
( xL, /**/ xR,
x0, /**/ x1, x2 );
}
}
#ifndef RELEASE
PopCallStack();
#endif
}
