void StackedGeometricColumnScaling
( const DistMatrix<Field, U,V >& A,
const DistMatrix<Field, U,V >& B,
DistMatrix<Base<Field>,V,STAR>& geomScaling )
{
EL_DEBUG_CSE
// NOTE: Assuming A.ColComm() == B.ColComm() and that the row alignments
// are equal
typedef Base<Field> Real;
DistMatrix<Real,V,STAR> maxScalingA(A.Grid()),
maxScalingB(A.Grid());
ColumnMaxNorms( A, maxScalingA );
ColumnMaxNorms( B, maxScalingB );
const Int mLocalA = A.LocalHeight();
const Int mLocalB = B.LocalHeight();
const Int nLocal = A.LocalWidth();
geomScaling.AlignWith( maxScalingA );
geomScaling.Resize( A.Width(), 1 );
auto& ALoc = A.LockedMatrix();
auto& BLoc = B.LockedMatrix();
auto& geomScalingLoc = geomScaling.Matrix();
auto& maxScalingALoc = maxScalingA.Matrix();
auto& maxScalingBLoc = maxScalingB.Matrix();
for( Int jLoc=0; jLoc<nLocal; ++jLoc )
{
Real minAbs = Max(maxScalingALoc(jLoc),maxScalingBLoc(jLoc));
for( Int iLoc=0; iLoc<mLocalA; ++iLoc )
{
const Real absVal = Abs(ALoc(iLoc,jLoc));
if( absVal > 0 && absVal < minAbs )
minAbs = Min(minAbs,absVal);
}
for( Int iLoc=0; iLoc<mLocalB; ++iLoc )
{
const Real absVal = Abs(BLoc(iLoc,jLoc));
if( absVal > 0 && absVal < minAbs )
minAbs = Min(minAbs,absVal);
}
geomScalingLoc(jLoc) = minAbs;
}
mpi::AllReduce( geomScaling.Buffer(), nLocal, mpi::MIN, A.ColComm() );
for( Int jLoc=0; jLoc<nLocal; ++jLoc )
{
const Real maxAbsA = maxScalingALoc(jLoc);
const Real maxAbsB = maxScalingBLoc(jLoc);
const Real maxAbs = Max(maxAbsA,maxAbsB);
const Real minAbs = geomScalingLoc(jLoc);
geomScalingLoc(jLoc) = Sqrt(minAbs*maxAbs);
}
}
void QP
( const DistSparseMatrix<Real>& A,
const DistMultiVec<Real>& B,
DistMultiVec<Real>& X,
const qp::direct::Ctrl<Real>& ctrl )
{
DEBUG_CSE
const Int m = A.Height();
const Int n = A.Width();
const Int k = B.Width();
mpi::Comm comm = A.Comm();
DistSparseMatrix<Real> Q(comm), AHat(comm);
DistMultiVec<Real> bHat(comm), c(comm);
Herk( LOWER, ADJOINT, Real(1), A, Q );
MakeHermitian( LOWER, Q );
Zeros( AHat, 0, n );
Zeros( bHat, 0, 1 );
Zeros( X, n, k );
DistMultiVec<Real> q(comm), y(comm), z(comm);
auto& qLoc = q.Matrix();
auto& XLoc = X.Matrix();
auto& BLoc = B.LockedMatrix();
for( Int j=0; j<k; ++j )
{
auto xLoc = XLoc( ALL, IR(j) );
auto bLoc = BLoc( ALL, IR(j) );
Zeros( c, n, 1 );
Zeros( q, m, 1 );
qLoc = bLoc;
Multiply( ADJOINT, Real(-1), A, q, Real(0), c );
Zeros( q, n, 1 );
qLoc = xLoc;
El::QP( Q, AHat, bHat, c, q, y, z, ctrl );
xLoc = qLoc;
}
}
void IndexDependentMap
( const BlockMatrix<S>& A,
BlockMatrix<T>& B,
function<T(Int,Int,S)> func )
{
DEBUG_CSE
const Int mLoc = A.LocalHeight();
const Int nLoc = A.LocalWidth();
B.AlignWith( A.DistData() );
B.Resize( A.Height(), A.Width() );
auto& ALoc = A.LockedMatrix();
auto& BLoc = B.Matrix();
for( Int jLoc=0; jLoc<nLoc; ++jLoc )
{
const Int j = A.GlobalCol(jLoc);
for( Int iLoc=0; iLoc<mLoc; ++iLoc )
{
const Int i = A.GlobalRow(iLoc);
BLoc(iLoc,jLoc) = func(i,j,ALoc(iLoc,jLoc));
}
}
}
void Helper
( const AbstractDistMatrix<S>& A,
AbstractDistMatrix<T>& B )
{
EL_DEBUG_CSE
// TODO: Decide whether S or T should be used as the transmission type
// based upon which is smaller. Transmit S by default.
const Int height = A.Height();
const Int width = A.Width();
const Grid& g = B.Grid();
B.Resize( height, width );
Zero( B );
const bool BPartic = B.Participating();
const int BRoot = B.Root();
const bool includeViewers = (A.Grid() != B.Grid());
const Int localHeight = A.LocalHeight();
const Int localWidth = A.LocalWidth();
auto& ALoc = A.LockedMatrix();
auto& BLoc = B.Matrix();
// TODO: Break into smaller pieces to avoid excessive memory usage?
vector<Entry<S>> remoteEntries;
vector<int> distOwners;
if( A.RedundantRank() == 0 )
{
const bool noRedundant = B.RedundantSize() == 1;
const int colStride = B.ColStride();
const int rowRank = B.RowRank();
const int colRank = B.ColRank();
vector<Int> globalRows(localHeight), localRows(localHeight);
vector<int> ownerRows(localHeight);
for( Int iLoc=0; iLoc<localHeight; ++iLoc )
{
const Int i = A.GlobalRow(iLoc);
const int ownerRow = B.RowOwner(i);
globalRows[iLoc] = i;
ownerRows[iLoc] = ownerRow;
localRows[iLoc] = B.LocalRow(i,ownerRow);
}
remoteEntries.reserve( localHeight*localWidth );
distOwners.reserve( localHeight*localWidth );
for( Int jLoc=0; jLoc<localWidth; ++jLoc )
{
const Int j = A.GlobalCol(jLoc);
const int ownerCol = B.ColOwner(j);
const Int localCol = B.LocalCol(j,ownerCol);
const bool isLocalCol = ( BPartic && ownerCol == rowRank );
for( Int iLoc=0; iLoc<localHeight; ++iLoc )
{
const int ownerRow = ownerRows[iLoc];
const Int localRow = localRows[iLoc];
const bool isLocalRow = ( BPartic && ownerRow == colRank );
const S& alpha = ALoc(iLoc,jLoc);
if( noRedundant && isLocalRow && isLocalCol )
{
BLoc(localRow,localCol) = Caster<S,T>::Cast(alpha);
}
else
{
remoteEntries.push_back
( Entry<S>{localRow,localCol,alpha} );
distOwners.push_back( ownerRow + colStride*ownerCol );
}
}
}
}
// We will first push to redundant rank 0 of B
const int redundantRootB = 0;
// Compute the metadata
// ====================
const Int totalSend = remoteEntries.size();
mpi::Comm comm;
vector<int> sendCounts, owners(totalSend);
if( includeViewers )
{
comm = g.ViewingComm();
const int viewingSize = mpi::Size( g.ViewingComm() );
const int distBSize = mpi::Size( B.DistComm() );
vector<int> distBToViewing(distBSize);
for( int distBRank=0; distBRank<distBSize; ++distBRank )
{
const int vcOwner =
g.CoordsToVC
(B.ColDist(),B.RowDist(),distBRank,BRoot,redundantRootB);
distBToViewing[distBRank] = g.VCToViewing(vcOwner);
}
sendCounts.resize(viewingSize,0);
for( Int k=0; k<totalSend; ++k )
{
owners[k] = distBToViewing[distOwners[k]];
++sendCounts[owners[k]];
}
}
else
{
if( !g.InGrid() )
return;
comm = g.VCComm();
const int distBSize = mpi::Size( B.DistComm() );
vector<int> distBToVC(distBSize);
for( int distBRank=0; distBRank<distBSize; ++distBRank )
{
distBToVC[distBRank] =
g.CoordsToVC
(B.ColDist(),B.RowDist(),distBRank,BRoot,redundantRootB);
}
const int vcSize = mpi::Size( g.VCComm() );
sendCounts.resize(vcSize,0);
for( Int k=0; k<totalSend; ++k )
{
owners[k] = distBToVC[distOwners[k]];
++sendCounts[owners[k]];
}
}
SwapClear( distOwners );
// Pack the data
// =============
vector<int> sendOffs;
Scan( sendCounts, sendOffs );
vector<Entry<S>> sendBuf;
FastResize( sendBuf, totalSend );
auto offs = sendOffs;
for( Int k=0; k<totalSend; ++k )
sendBuf[offs[owners[k]]++] = remoteEntries[k];
SwapClear( remoteEntries );
SwapClear( owners );
// Exchange and unpack the data
// ============================
auto recvBuf = mpi::AllToAll( sendBuf, sendCounts, sendOffs, comm );
if( BPartic )
{
if( B.RedundantRank() == redundantRootB )
{
Int recvBufSize = recvBuf.size();
for( Int k=0; k<recvBufSize; ++k )
{
const auto& entry = recvBuf[k];
BLoc(entry.i,entry.j) = Caster<S,T>::Cast(entry.value);
}
}
El::Broadcast( B, B.RedundantComm(), redundantRootB );
}
}
