inline void
MakeDiscreteFourier( DistMatrix<Complex<R>,U,V>& A )
{
#ifndef RELEASE
CallStackEntry entry("MakeDiscreteFourier");
#endif
typedef Complex<R> F;
const int m = A.Height();
const int n = A.Width();
if( m != n )
throw std::logic_error("Cannot make a non-square DFT matrix");
const R pi = 4*Atan( R(1) );
const F nSqrt = Sqrt( R(n) );
const int localHeight = A.LocalHeight();
const int localWidth = A.LocalWidth();
const int colShift = A.ColShift();
const int rowShift = A.RowShift();
const int colStride = A.ColStride();
const int rowStride = A.RowStride();
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
const int j = rowShift + jLocal*rowStride;
for( int iLocal=0; iLocal<localHeight; ++iLocal )
{
const int i = colShift + iLocal*colStride;
A.SetLocal( iLocal, jLocal, Exp(-2*pi*i*j/n)/nSqrt );
const R theta = -2*pi*i*j/n;
const Complex<R> alpha( Cos(theta), Sin(theta) );
A.SetLocal( iLocal, jLocal, alpha/nSqrt );
}
}
}
inline void
BinaryFlat
( DistMatrix<T,STAR,V>& A, Int height, Int width, const std::string filename )
{
DEBUG_ONLY(CallStackEntry cse("read::BinaryFlat"))
std::ifstream file( filename.c_str(), std::ios::binary );
if( !file.is_open() )
RuntimeError("Could not open ",filename);
const Int numBytes = FileSize( file );
const Int numBytesExp = height*width*sizeof(T);
if( numBytes != numBytesExp )
RuntimeError
("Expected file to be ",numBytesExp," bytes but found ",numBytes);
A.Resize( height, width );
const Int localWidth = A.LocalWidth();
const Int rowShift = A.RowShift();
const Int rowStride = A.RowStride();
for( Int jLoc=0; jLoc<localWidth; ++jLoc )
{
const Int j = rowShift + jLoc*rowStride;
const Int localIndex = j*height;
const std::streamoff pos = localIndex*sizeof(T);
file.seekg( pos );
file.read( (char*)A.Buffer(0,jLoc), height*sizeof(T) );
}
}
inline void
Riemann( DistMatrix<T,U,V>& R, int n )
{
#ifndef RELEASE
CallStackEntry entry("Riemann");
#endif
R.ResizeTo( n, n );
const int localHeight = R.LocalHeight();
const int localWidth = R.LocalWidth();
const int colShift = R.ColShift();
const int rowShift = R.RowShift();
const int colStride = R.ColStride();
const int rowStride = R.RowStride();
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
const int j = rowShift + jLocal*rowStride;
for( int iLocal=0; iLocal<localHeight; ++iLocal )
{
const int i = colShift + iLocal*colStride;
if( ((j+2)%(i+2))==0 )
R.SetLocal( iLocal, jLocal, T(i+1) );
else
R.SetLocal( iLocal, jLocal, T(-1) );
}
}
}
inline void
Hankel( DistMatrix<T,U,V>& A, Int m, Int n, const std::vector<T>& a )
{
#ifndef RELEASE
CallStackEntry entry("Hankel");
#endif
const Int length = m+n-1;
if( a.size() != (Unsigned)length )
LogicError("a was the wrong size");
A.ResizeTo( m, n );
const Int localHeight = A.LocalHeight();
const Int localWidth = A.LocalWidth();
const Int colShift = A.ColShift();
const Int rowShift = A.RowShift();
const Int colStride = A.ColStride();
const Int rowStride = A.RowStride();
for( Int jLoc=0; jLoc<localWidth; ++jLoc )
{
const Int j = rowShift + jLoc*rowStride;
for( Int iLoc=0; iLoc<localHeight; ++iLoc )
{
const Int i = colShift + iLoc*colStride;
A.SetLocal( iLoc, jLoc, a[i+j] );
}
}
}
inline void
Wilkinson( DistMatrix<T,U,V>& A, int k )
{
#ifndef RELEASE
CallStackEntry entry("Wilkinson");
#endif
const int n = 2*k+1;
A.ResizeTo( n, n );
MakeZeros( A );
const int localHeight = A.LocalHeight();
const int localWidth = A.LocalWidth();
const int colShift = A.ColShift();
const int rowShift = A.RowShift();
const int colStride = A.ColStride();
const int rowStride = A.RowStride();
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
const int j = rowShift + jLocal*rowStride;
for( int iLocal=0; iLocal<localHeight; ++iLocal )
{
const int i = colShift + iLocal*colStride;
if( i == j )
{
if( j <= k )
A.SetLocal( iLocal, jLocal, T(k-j) );
else
A.SetLocal( iLocal, jLocal, T(j-k) );
}
else if( i == j-1 || i == j+1 )
A.SetLocal( iLocal, jLocal, T(1) );
}
}
}
inline void
Redheffer( DistMatrix<T,U,V>& R, Int n )
{
#ifndef RELEASE
CallStackEntry entry("Redheffer");
#endif
R.ResizeTo( n, n );
const Int localHeight = R.LocalHeight();
const Int localWidth = R.LocalWidth();
const Int colShift = R.ColShift();
const Int rowShift = R.RowShift();
const Int colStride = R.ColStride();
const Int rowStride = R.RowStride();
for( Int jLoc=0; jLoc<localWidth; ++jLoc )
{
const Int j = rowShift + jLoc*rowStride;
for( Int iLoc=0; iLoc<localHeight; ++iLoc )
{
const Int i = colShift + iLoc*colStride;
if( j==0 || ((j+1)%(i+1))==0 )
R.SetLocal( iLoc, jLoc, T(1) );
else
R.SetLocal( iLoc, jLoc, T(0) );
}
}
}
inline void
MakeLegendre( DistMatrix<F,U,V>& A )
{
#ifndef RELEASE
CallStackEntry entry("MakeLegendre");
#endif
if( A.Height() != A.Width() )
LogicError("Cannot make a non-square matrix Legendre");
MakeZeros( A );
const Int localHeight = A.LocalHeight();
const Int localWidth = A.LocalWidth();
const Int colShift = A.ColShift();
const Int rowShift = A.RowShift();
const Int colStride = A.ColStride();
const Int rowStride = A.RowStride();
for( Int jLoc=0; jLoc<localWidth; ++jLoc )
{
const Int j = rowShift + jLoc*rowStride;
for( Int iLoc=0; iLoc<localHeight; ++iLoc )
{
const Int i = colShift + iLoc*colStride;
if( j == i+1 || j == i-1 )
{
const Int k = Max( i, j );
const F gamma = F(1) / Pow( F(2)*k, F(2) );
const F beta = F(1) / (2*Sqrt(F(1)-gamma));
A.SetLocal( iLoc, jLoc, beta );
}
}
}
}
inline void
MakeHilbert( DistMatrix<F,U,V>& A )
{
#ifndef RELEASE
PushCallStack("MakeHilbert");
#endif
const int m = A.Height();
const int n = A.Width();
if( m != n )
throw std::logic_error("Cannot make a non-square matrix Hilbert");
const F one = static_cast<F>(1);
const int localHeight = A.LocalHeight();
const int localWidth = A.LocalWidth();
const int colShift = A.ColShift();
const int rowShift = A.RowShift();
const int colStride = A.ColStride();
const int rowStride = A.RowStride();
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
const int j = rowShift + jLocal*rowStride;
for( int iLocal=0; iLocal<localHeight; ++iLocal )
{
const int i = colShift + iLocal*colStride;
A.SetLocalEntry( iLocal, jLocal, one/(i+j+1) );
}
}
#ifndef RELEASE
PopCallStack();
#endif
}
//w = -log(rand(m,n));
void log_uniform(DistMatrix<R> &U){
//boost::random::gamma_distribution<> dist(df/2.0,2.0);
boost::random::uniform_01<> dist;
boost::random::mt19937 rng(static_cast<boost::uint32_t>(commRank));
double temp;
const int colShift = U.ColShift(); // first row we own
const int rowShift = U.RowShift(); // first col we own
const int colStride = U.ColStride();
const int rowStride = U.RowStride();
const int localHeight = U.LocalHeight();
const int localWidth = U.LocalWidth();
for( int iLocal=0; iLocal<localHeight; ++iLocal ){
for( int jLocal=0; jLocal<localWidth; ++jLocal ){
const int i = colShift + iLocal*colStride;
const int j = rowShift + jLocal*rowStride;
temp = dist(rng);
U.SetLocal(iLocal, jLocal, log(temp));
}
}
}
void calc_x_if(const R alpha,const R beta,const R c, const R delta,DistMatrix<R> &x, DistMatrix<R> &phi,DistMatrix<R> &w){
R temp; // phi
R temp2; // w
R aphi;
R a1phi;
const R pi = 4*atan(1);
const R zeta = beta * tan(pi * alpha/2);
const int colShift = x.ColShift(); // first row we own
const int rowShift = x.RowShift(); // first col we own
const int colStride = x.ColStride();
const int rowStride = x.RowStride();
const int localHeight = x.LocalHeight();
const int localWidth = x.LocalWidth();
for( int iLocal=0; iLocal<localHeight; ++iLocal ){
for( int jLocal=0; jLocal<localWidth; ++jLocal ){
const int i = colShift + iLocal*colStride;
const int j = rowShift + jLocal*rowStride;
temp = phi.GetLocal(iLocal,jLocal);//phi
temp2 = w.GetLocal(iLocal,jLocal); //w
aphi = alpha * temp;
a1phi = (1-alpha)*temp;
x.SetLocal(iLocal, jLocal, (-1 * sqrt(abs(delta + c *( ( (sin(aphi)+zeta * cos(aphi))/ cos(temp)) * -1 * pow( abs( ((cos(a1phi) + zeta * sin(a1phi))/ (temp2 * cos(temp))) ) ,((1-alpha)/alpha) ) + beta * tan(pi * alpha/2) )))) );
}
}
}
inline void
MakeHilbert( DistMatrix<F,U,V>& A )
{
#ifndef RELEASE
CallStackEntry entry("MakeHilbert");
#endif
const Int m = A.Height();
const Int n = A.Width();
if( m != n )
LogicError("Cannot make a non-square matrix Hilbert");
const F one = F(1);
const Int localHeight = A.LocalHeight();
const Int localWidth = A.LocalWidth();
const Int colShift = A.ColShift();
const Int rowShift = A.RowShift();
const Int colStride = A.ColStride();
const Int rowStride = A.RowStride();
for( Int jLoc=0; jLoc<localWidth; ++jLoc )
{
const Int j = rowShift + jLoc*rowStride;
for( Int iLoc=0; iLoc<localHeight; ++iLoc )
{
const Int i = colShift + iLoc*colStride;
A.SetLocal( iLoc, jLoc, one/(i+j+1) );
}
}
}
inline typename Base<F>::type
HermitianEntrywiseOneNorm( UpperOrLower uplo, const DistMatrix<F>& A )
{
#ifndef RELEASE
PushCallStack("HermitianEntrywiseOneNorm");
#endif
if( A.Height() != A.Width() )
throw std::logic_error("Hermitian matrices must be square.");
const int r = A.Grid().Height();
const int c = A.Grid().Width();
const int colShift = A.ColShift();
const int rowShift = A.RowShift();
typedef typename Base<F>::type R;
R localSum = 0;
const int localWidth = A.LocalWidth();
if( uplo == UPPER )
{
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
int j = rowShift + jLocal*c;
int numUpperRows = Length(j+1,colShift,r);
for( int iLocal=0; iLocal<numUpperRows; ++iLocal )
{
int i = colShift + iLocal*r;
const R alpha = Abs(A.GetLocal(iLocal,jLocal));
if( i ==j )
localSum += alpha;
else
localSum += 2*alpha;
}
}
}
else
{
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
int j = rowShift + jLocal*c;
int numStrictlyUpperRows = Length(j,colShift,r);
for( int iLocal=numStrictlyUpperRows;
iLocal<A.LocalHeight(); ++iLocal )
{
int i = colShift + iLocal*r;
const R alpha = Abs(A.GetLocal(iLocal,jLocal));
if( i ==j )
localSum += alpha;
else
localSum += 2*alpha;
}
}
}
R norm;
mpi::AllReduce( &localSum, &norm, 1, mpi::SUM, A.Grid().VCComm() );
#ifndef RELEASE
PopCallStack();
#endif
return norm;
}
void dotproduct(DistMatrix<R> &A,DistMatrix<R> &B){
if(A.Height() != B.Height()){
//ERROR!
}
if(A.Width() != B.Width()){
//ERROR!
}
double temp,temp1;
const int colShift = A.ColShift(); // first row we own
const int rowShift = A.RowShift(); // first col we own
const int colStride = A.ColStride();
const int rowStride = A.RowStride();
const int localHeight = A.LocalHeight();
const int localWidth = A.LocalWidth();
for( int iLocal=0; iLocal<localHeight; ++iLocal ){
for( int jLocal=0; jLocal<localWidth; ++jLocal ){
const int i = colShift + iLocal*colStride;
const int j = rowShift + jLocal*rowStride;
temp = A.GetLocal(iLocal, jLocal);
temp1 = B.GetLocal(iLocal,jLocal);
B.SetLocal(iLocal, jLocal, (temp*temp1));
}
}
}
void calc_x_else(const R alpha, const R beta,const R c, const R delta, DistMatrix<R> &x, DistMatrix<R> &phi,DistMatrix<R> &w){
R bphi;
R temp;
R temp2;
const R pi = 4*atan(1);
const int colShift = x.ColShift(); // first row we own
const int rowShift = x.RowShift(); // first col we own
const int colStride = x.ColStride();
const int rowStride = x.RowStride();
const int localHeight = x.LocalHeight();
const int localWidth = x.LocalWidth();
for( int iLocal=0; iLocal<localHeight; ++iLocal ){
for( int jLocal=0; jLocal<localWidth; ++jLocal ){
const int i = colShift + iLocal*colStride;
const int j = rowShift + jLocal*rowStride;
temp = phi.GetLocal(0,jLocal);//phi
temp2 = w.GetLocal(0,jLocal); //w
bphi = (pi/2) + beta * temp;
//cout<< (delta + c * (((2/pi) * (bphi * tan(temp) - beta * log((pi/2) * temp2 * cos(temp) / bphi))) + (beta * tan (pi *alpha/2))))<<endl;
x.SetLocal(iLocal, jLocal, (-1* sqrt(abs(delta + c * (((2/pi) * (bphi * tan(temp) - beta * log((pi/2) * temp2 * cos(temp) / bphi))) + (beta * tan (pi *alpha/2)))))));
}
}
}
inline void
MakeOneTwoOne( DistMatrix<T,U,V>& A )
{
#ifndef RELEASE
PushCallStack("MakeOneTwoOne");
#endif
if( A.Height() != A.Width() )
throw std::logic_error("Cannot make a non-square matrix 1-2-1");
MakeZeros( A );
const int localHeight = A.LocalHeight();
const int localWidth = A.LocalWidth();
const int colShift = A.ColShift();
const int rowShift = A.RowShift();
const int colStride = A.ColStride();
const int rowStride = A.RowStride();
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
const int j = rowShift + jLocal*rowStride;
for( int iLocal=0; iLocal<localHeight; ++iLocal )
{
const int i = colShift + iLocal*colStride;
if( i == j )
A.SetLocal( iLocal, jLocal, T(2) );
else if( i == j-1 || i == j+1 )
A.SetLocal( iLocal, jLocal, T(1) );
}
}
#ifndef RELEASE
PopCallStack();
#endif
}
inline void
Diagonal( const std::vector<T>& d, DistMatrix<T,U,V>& D )
{
#ifndef RELEASE
PushCallStack("Diagonal");
#endif
const int n = d.size();
D.ResizeTo( n, n );
MakeZeros( D );
const int localWidth = D.LocalWidth();
const int colShift = D.ColShift();
const int rowShift = D.RowShift();
const int colStride = D.ColStride();
const int rowStride = D.RowStride();
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
const int j = rowShift + jLocal*rowStride;
if( (j-colShift+colStride) % colStride == 0 )
{
const int iLocal = (j-colShift) / colStride;
D.SetLocal( iLocal, jLocal, d[j] );
}
}
#ifndef RELEASE
PopCallStack();
#endif
}
//phi = (rand(m,n)-.5)*pi;
void phi_uniform(DistMatrix<R> &U){
boost::random::uniform_01<> dist;
boost::random::mt19937 rng(static_cast<boost::uint32_t>(commRank));
R temp;
R pi = 4*atan(1);
const int colShift = U.ColShift(); // first row we own
const int rowShift = U.RowShift(); // first col we own
const int colStride = U.ColStride();
const int rowStride = U.RowStride();
const int localHeight = U.LocalHeight();
const int localWidth = U.LocalWidth();
for( int iLocal=0; iLocal<localHeight; ++iLocal ){
for( int jLocal=0; jLocal<localWidth; ++jLocal ){
const int i = colShift + iLocal*colStride;
const int j = rowShift + jLocal*rowStride;
temp = dist(rng);
U.SetLocal(iLocal, jLocal, ((temp-0.5)*pi) );
}
}
}
inline void
Hankel( int m, int n, const std::vector<T>& a, DistMatrix<T,U,V>& A )
{
#ifndef RELEASE
PushCallStack("Hankel");
#endif
const int length = m+n-1;
if( a.size() != (unsigned)length )
throw std::logic_error("a was the wrong size");
A.ResizeTo( m, n );
const int localHeight = A.LocalHeight();
const int localWidth = A.LocalWidth();
const int colShift = A.ColShift();
const int rowShift = A.RowShift();
const int colStride = A.ColStride();
const int rowStride = A.RowStride();
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
const int j = rowShift + jLocal*rowStride;
for( int iLocal=0; iLocal<localHeight; ++iLocal )
{
const int i = colShift + iLocal*colStride;
A.SetLocal( iLocal, jLocal, a[i+j] );
}
}
#ifndef RELEASE
PopCallStack();
#endif
}
inline void
MakeGKS( DistMatrix<F,U,V>& A )
{
#ifndef RELEASE
CallStackEntry entry("MakeGKS");
#endif
const Int m = A.Height();
const Int n = A.Width();
if( m != n )
LogicError("Cannot make a non-square matrix GKS");
const Int localHeight = A.LocalHeight();
const Int localWidth = A.LocalWidth();
const Int colShift = A.ColShift();
const Int rowShift = A.RowShift();
const Int colStride = A.ColStride();
const Int rowStride = A.RowStride();
for( Int jLoc=0; jLoc<localWidth; ++jLoc )
{
const Int j = rowShift + jLoc*rowStride;
const F jDiag = F(1)/Sqrt(F(j));
for( Int iLoc=0; iLoc<localHeight; ++iLoc )
{
const Int i = colShift + iLoc*colStride;
if( i < j )
A.SetLocal( iLoc, jLoc, -jDiag );
else if( i == j )
A.SetLocal( iLoc, jLoc, jDiag );
else
A.SetLocal( iLoc, jLoc, 0 );
}
}
}
inline void
Pei( DistMatrix<T,U,V>& P, Int n, T alpha )
{
#ifndef RELEASE
CallStackEntry entry("MakeIdentity");
#endif
P.ResizeTo( n, n );
const Int localHeight = P.LocalHeight();
const Int localWidth = P.LocalWidth();
const Int colShift = P.ColShift();
const Int rowShift = P.RowShift();
const Int colStride = P.ColStride();
const Int rowStride = P.RowStride();
for( Int jLoc=0; jLoc<localWidth; ++jLoc )
{
const Int j = rowShift + jLoc*rowStride;
for( Int iLoc=0; iLoc<localHeight; ++iLoc )
{
const Int i = colShift + iLoc*colStride;
P.SetLocal( iLoc, jLoc, T(1) );
if( i == j )
P.UpdateLocal( iLoc, jLoc, alpha );
}
}
}
inline void
MakeJordan( DistMatrix<T,U,V>& J, T lambda )
{
DEBUG_ONLY(CallStackEntry cse("MakeJordan"))
Zero( J.Matrix() );
const Int localHeight = J.LocalHeight();
const Int localWidth = J.LocalWidth();
const Int colShift = J.ColShift();
const Int rowShift = J.RowShift();
const Int colStride = J.ColStride();
const Int rowStride = J.RowStride();
for( Int jLoc=0; jLoc<localWidth; ++jLoc )
{
const Int j = rowShift + jLoc*rowStride;
for( Int iLoc=0; iLoc<localHeight; ++iLoc )
{
const Int i = colShift + iLoc*colStride;
if( i == j )
J.SetLocal( iLoc, jLoc, lambda );
else if( i == j-1 )
J.SetLocal( iLoc, jLoc, T(1) );
}
}
}
inline void
MakeTriangular( UpperOrLower uplo, DistMatrix<T,U,V>& A )
{
#ifndef RELEASE
PushCallStack("MakeTriangular");
#endif
const int height = A.Height();
const int localHeight = A.LocalHeight();
const int localWidth = A.LocalWidth();
const int colShift = A.ColShift();
const int rowShift = A.RowShift();
const int colStride = A.ColStride();
const int rowStride = A.RowStride();
T* localBuffer = A.LocalBuffer();
const int ldim = A.LocalLDim();
if( uplo == LOWER )
{
#ifdef HAVE_OPENMP
#pragma omp parallel for
#endif
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
const int j = rowShift + jLocal*rowStride;
const int lastZeroRow = j-1;
if( lastZeroRow >= 0 )
{
const int boundary = std::min( lastZeroRow+1, height );
const int numZeroRows =
RawLocalLength( boundary, colShift, colStride );
MemZero( &localBuffer[jLocal*ldim], numZeroRows );
}
}
}
else
{
#ifdef HAVE_OPENMP
#pragma omp parallel for
#endif
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
const int j = rowShift + jLocal*rowStride;
const int firstZeroRow = j+1;
const int numNonzeroRows =
RawLocalLength(firstZeroRow,colShift,colStride);
if( numNonzeroRows < localHeight )
{
T* col = &localBuffer[numNonzeroRows+jLocal*ldim];
MemZero( col, localHeight-numNonzeroRows );
}
}
}
#ifndef RELEASE
PopCallStack();
#endif
}
inline typename Base<F>::type
HermitianMaxNorm( UpperOrLower uplo, const DistMatrix<F>& A )
{
#ifndef RELEASE
PushCallStack("internal::HermitianMaxNorm");
#endif
typedef typename Base<F>::type R;
if( A.Height() != A.Width() )
throw std::logic_error("Hermitian matrices must be square.");
const int r = A.Grid().Height();
const int c = A.Grid().Width();
const int colShift = A.ColShift();
const int rowShift = A.RowShift();
R localMaxAbs = 0;
const int localWidth = A.LocalWidth();
if( uplo == UPPER )
{
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
int j = rowShift + jLocal*c;
int numUpperRows = LocalLength(j+1,colShift,r);
for( int iLocal=0; iLocal<numUpperRows; ++iLocal )
{
const R thisAbs = Abs(A.GetLocal(iLocal,jLocal));
localMaxAbs = std::max( localMaxAbs, thisAbs );
}
}
}
else
{
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
int j = rowShift + jLocal*c;
int numStrictlyUpperRows = LocalLength(j,colShift,r);
for( int iLocal=numStrictlyUpperRows;
iLocal<A.LocalHeight(); ++iLocal )
{
const R thisAbs = Abs(A.GetLocal(iLocal,jLocal));
localMaxAbs = std::max( localMaxAbs, thisAbs );
}
}
}
R maxAbs;
mpi::AllReduce( &localMaxAbs, &maxAbs, 1, mpi::MAX, A.Grid().VCComm() );
#ifndef RELEASE
PopCallStack();
#endif
return maxAbs;
}
inline void
Walsh( int k, DistMatrix<T,U,V>& A, bool binary )
{
#ifndef RELEASE
PushCallStack("Walsh");
#endif
if( k < 1 )
throw std::logic_error("Walsh matrices are only defined for k>=1");
const unsigned n = 1u<<k;
A.ResizeTo( n, n );
// Run an O(n^2 log n / p) algorithm based upon successive sign flips
const T onValue = 1;
const T offValue = ( binary ? 0 : -1 );
const unsigned localHeight = A.LocalHeight();
const unsigned localWidth = A.LocalWidth();
const unsigned colShift = A.ColShift();
const unsigned rowShift = A.RowShift();
const unsigned colStride = A.ColStride();
const unsigned rowStride = A.RowStride();
for( unsigned jLocal=0; jLocal<localWidth; ++jLocal )
{
const unsigned j = rowShift + jLocal*rowStride;
for( unsigned iLocal=0; iLocal<localHeight; ++iLocal )
{
const unsigned i = colShift + iLocal*colStride;
// Recurse on the quadtree, flipping the sign of the entry each
// time we are in the bottom-right quadrant
unsigned r = i;
unsigned s = j;
unsigned t = n;
bool on = true;
while( t != 1u )
{
t >>= 1;
if( r >= t && s >= t )
on = !on;
r %= t;
s %= t;
}
if( on )
A.SetLocal( iLocal, jLocal, onValue );
else
A.SetLocal( iLocal, jLocal, offValue );
}
}
#ifndef RELEASE
PopCallStack();
#endif
}
inline void
CauchyLike
( const std::vector<F>& r, const std::vector<F>& s,
const std::vector<F>& x, const std::vector<F>& y,
DistMatrix<F,U,V>& A )
{
#ifndef RELEASE
PushCallStack("CauchyLike");
#endif
const int m = r.size();
const int n = s.size();
if( x.size() != (unsigned)m )
throw std::logic_error("x vector was the wrong length");
if( y.size() != (unsigned)n )
throw std::logic_error("y vector was the wrong length");
A.ResizeTo( m, n );
const int localHeight = A.LocalHeight();
const int localWidth = A.LocalWidth();
const int colShift = A.ColShift();
const int rowShift = A.RowShift();
const int colStride = A.ColStride();
const int rowStride = A.RowStride();
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
const int j = rowShift + jLocal*rowStride;
for( int iLocal=0; iLocal<localHeight; ++iLocal )
{
const int i = colShift + iLocal*colStride;
#ifndef RELEASE
// TODO: Use tolerance instead?
if( x[i] == y[j] )
{
std::ostringstream msg;
msg << "x[" << i << "] = y[" << j << "] (" << x[i]
<< ") is not allowed for Cauchy-like matrices";
throw std::logic_error( msg.str().c_str() );
}
#endif
A.SetLocal( iLocal, jLocal, r[i]*s[j]/(x[i]-y[j]) );
}
}
#ifndef RELEASE
PopCallStack();
#endif
}
inline void
DistMatrix<T,MD,STAR,Int>::AlignWith( const DistMatrix<S,STAR,MD,N>& A )
{
#ifndef RELEASE
PushCallStack("[MD,* ]::AlignWith([* ,MD])");
this->AssertFreeColAlignment();
this->AssertSameGrid( A );
#endif
this->Empty();
this->diagPath_ = A.diagPath_;
this->colAlignment_ = A.rowAlignment_;
this->constrainedColAlignment_ = true;
this->colShift_ = A.RowShift();
#ifndef RELEASE
PopCallStack();
#endif
}
void Filter
( const DistMatrix<T,Collect<U>(),Collect<V>()>& A,
DistMatrix<T, U, V >& B )
{
DEBUG_CSE
AssertSameGrids( A, B );
B.Resize( A.Height(), A.Width() );
if( !B.Participating() )
return;
const Int colShift = B.ColShift();
const Int rowShift = B.RowShift();
util::InterleaveMatrix
( B.LocalHeight(), B.LocalWidth(),
A.LockedBuffer(colShift,rowShift), B.ColStride(), B.RowStride()*A.LDim(),
B.Buffer(), 1, B.LDim() );
}
void GetMappedDiagonal
( const DistMatrix<T,U,V>& A,
AbstractDistMatrix<S>& dPre,
function<S(const T&)> func,
Int offset )
{
EL_DEBUG_CSE
EL_DEBUG_ONLY(AssertSameGrids( A, dPre ))
ElementalProxyCtrl ctrl;
ctrl.colConstrain = true;
ctrl.colAlign = A.DiagonalAlign(offset);
ctrl.rootConstrain = true;
ctrl.root = A.DiagonalRoot(offset);
DistMatrixWriteProxy<S,S,DiagCol<U,V>(),DiagRow<U,V>()> dProx( dPre, ctrl );
auto& d = dProx.Get();
d.Resize( A.DiagonalLength(offset), 1 );
if( d.Participating() )
{
const Int diagShift = d.ColShift();
const Int iStart = diagShift + Max(-offset,0);
const Int jStart = diagShift + Max( offset,0);
const Int colStride = A.ColStride();
const Int rowStride = A.RowStride();
const Int iLocStart = (iStart-A.ColShift()) / colStride;
const Int jLocStart = (jStart-A.RowShift()) / rowStride;
const Int iLocStride = d.ColStride() / colStride;
const Int jLocStride = d.ColStride() / rowStride;
const Int localDiagLength = d.LocalHeight();
S* dBuf = d.Buffer();
const T* ABuf = A.LockedBuffer();
const Int ldim = A.LDim();
EL_PARALLEL_FOR
for( Int k=0; k<localDiagLength; ++k )
{
const Int iLoc = iLocStart + k*iLocStride;
const Int jLoc = jLocStart + k*jLocStride;
dBuf[k] = func(ABuf[iLoc+jLoc*ldim]);
}
}
}
inline void
MakeKahan( F phi, DistMatrix<F,U,V>& A )
{
#ifndef RELEASE
PushCallStack("MakeKahan");
#endif
typedef typename Base<F>::type R;
const int m = A.Height();
const int n = A.Width();
if( m != n )
throw std::logic_error("Cannot make a non-square matrix Kahan");
if( Abs(phi) >= R(1) )
throw std::logic_error("Phi must be in (0,1)");
const F zeta = Sqrt(1-phi*Conj(phi));
const int localHeight = A.LocalHeight();
const int localWidth = A.LocalWidth();
const int colShift = A.ColShift();
const int rowShift = A.RowShift();
const int colStride = A.ColStride();
const int rowStride = A.RowStride();
for( int iLocal=0; iLocal<localHeight; ++iLocal )
{
const int i = colShift + iLocal*colStride;
const F zetaPow = Pow( zeta, R(i) );
for( int jLocal=0; jLocal<localWidth; ++jLocal )
{
const int j = rowShift + jLocal*rowStride;
if( i > j )
A.SetLocal( iLocal, jLocal, F(0) );
else if( i == j )
A.SetLocal( iLocal, jLocal, zetaPow );
else
A.SetLocal( iLocal, jLocal, -phi*zetaPow );
}
}
#ifndef RELEASE
PopCallStack();
#endif
}
void repmat_as2(DistMatrix<R> &vector, DistMatrix<R> &repmatrix){
//old 1 x d
//new nSim x d
//Must set dimensions of New before being passed to function
double temp;
const int colShift = repmatrix.ColShift(); // first row we own
const int rowShift = repmatrix.RowShift(); // first col we own
const int colStride = repmatrix.ColStride();
const int rowStride = repmatrix.RowStride();
const int localHeight = repmatrix.LocalHeight();
const int localWidth = repmatrix.LocalWidth();
for( int iLocal=0; iLocal<localHeight; ++iLocal ){
for( int jLocal=0; jLocal<localWidth; ++jLocal ){
const int i = colShift + iLocal*colStride;
const int j = rowShift + jLocal*rowStride;
temp = vector.GetLocal(jLocal, 0);
repmatrix.SetLocal(iLocal, jLocal, temp);
}
}
}