AmesosBTF_CrsMatrix::NewTypeRef
AmesosBTF_CrsMatrix::
operator()( OriginalTypeRef orig )
{
origObj_ = &orig;
const Epetra_BlockMap & OldRowMap = orig.RowMap();
const Epetra_BlockMap & OldColMap = orig.ColMap();
// Check if the matrix is on one processor.
int myMatProc = -1, matProc = -1;
int myPID = orig.Comm().MyPID();
for (int proc=0; proc<orig.Comm().NumProc(); proc++)
{
if (orig.NumGlobalNonzeros() == orig.NumMyNonzeros())
myMatProc = myPID;
}
orig.Comm().MaxAll( &myMatProc, &matProc, 1 );
if( orig.RowMap().DistributedGlobal() && matProc == -1)
{ cout << "FAIL for Global!\n"; abort(); }
if( orig.IndicesAreGlobal() && matProc == -1)
{ cout << "FAIL for Global Indices!\n"; abort(); }
int nGlobal = orig.NumGlobalRows();
int n = orig.NumMyRows();
int nnz = orig.NumMyNonzeros();
if( debug_ )
{
cout << "Orig Matrix:\n";
cout << orig << endl;
}
// Create std CRS format (without elements above the threshold)
vector<int> ia(n+1,0);
int maxEntries = orig.MaxNumEntries();
vector<int> ja(nnz), ja_tmp(nnz);
vector<double> jva_tmp(maxEntries);
int cnt;
Epetra_CrsGraph strippedGraph( Copy, OldRowMap, OldColMap, 0 );
for( int i = 0; i < n; ++i )
{
orig.ExtractMyRowCopy( i, maxEntries, cnt, &jva_tmp[0], &ja_tmp[0] );
ia[i+1] = ia[i];
for( int j = 0; j < cnt; ++j )
if( fabs(jva_tmp[j]) > threshold_ )
ja[ ia[i+1]++ ] = ja_tmp[j];
int new_cnt = ia[i+1] - ia[i];
strippedGraph.InsertMyIndices( i, new_cnt, &ja[ ia[i] ] );
}
nnz = ia[n];
strippedGraph.FillComplete();
if( debug_ )
{
cout << "Stripped Graph\n";
cout << strippedGraph;
}
// Compute the BTF permutation only on the processor that has the graph.
if ( matProc == myPID ) {
if( debug_ )
{
cout << "-----------------------------------------\n";
cout << "CRS Format Graph (stripped) \n";
cout << "-----------------------------------------\n";
for( int i = 0; i < n; ++i )
{
cout << ia[i] << " - " << ia[i+1] << " : ";
for( int j = ia[i]; j<ia[i+1]; ++j )
cout << " " << ja[j];
cout << endl;
}
cout << "-----------------------------------------\n";
}
// Transpose the graph, not the values
int j=0, next=0;
vector<int> ia_tmp(n+1,0);
// Compute row lengths
for (int i = 0; i < n; i++)
for (int k = ia[i]; k < ia[i+1]; k++)
++ia_tmp[ ja[k]+1 ];
// Compute pointers from row lengths
ia_tmp[0] = 0;
for (int i = 0; i < n; i++)
ia_tmp[i+1] += ia_tmp[i];
// Copy over indices
for (int i = 0; i < n; i++) {
for (int k = ia[i]; k < ia[i+1]; k++) {
j = ja[k];
next = ia_tmp[j];
ja_tmp[next] = i;
ia_tmp[j] = next + 1;
}
}
// Reshift ia_tmp
for (int i=n-1; i >= 0; i--) ia_tmp[i+1] = ia_tmp[i];
ia_tmp[0] = 0;
// Transformation information
int numMatch = 0; // number of nonzeros on diagonal after permutation.
double maxWork = 0.0; // no limit on how much work to perform in max-trans.
double workPerf = 0.0; // how much work was performed in max-trans.
// Create a work vector for the BTF code.
vector<int> work(5*n);
// Storage for the row and column permutations.
vector<int> rowperm(n);
vector<int> colperm(n);
vector<int> blockptr(n+1);
// NOTE: The permutations are sent in backwards since the matrix is transposed.
// On output, rowperm and colperm are the row and column permutations of A, where
// i = BTF_UNFLIP(rowperm[k]) if row i of A is the kth row of P*A*Q, and j = colperm[k]
// if column j of A is the kth column of P*A*Q. If rowperm[k] < 0, then the
// (k,k)th entry in P*A*Q is structurally zero.
numBlocks_ = amesos_btf_order( n, &ia_tmp[0], &ja_tmp[0], maxWork, &workPerf,
&rowperm[0], &colperm[0], &blockptr[0],
&numMatch, &work[0] );
// Reverse ordering of permutation to get upper triangular form, if necessary.
rowPerm_.resize( n );
colPerm_.resize( n );
blockptr.resize( numBlocks_+1 );
blockPtr_.resize( numBlocks_+1 );
if (!upperTri_) {
for( int i = 0; i < n; ++i )
{
rowPerm_[i] = BTF_UNFLIP(rowperm[(n-1)-i]);
colPerm_[i] = colperm[(n-1)-i];
}
for( int i = 0; i < numBlocks_+1; ++i )
{
blockPtr_[i] = n - blockptr[numBlocks_-i];
}
}
else {
colPerm_ = colperm;
blockPtr_ = blockptr;
for( int i = 0; i < n; ++i )
{
rowPerm_[i] = BTF_UNFLIP(rowperm[i]);
}
}
if( debug_ ) {
cout << "-----------------------------------------\n";
cout << "BTF Output (n = " << n << ")\n";
cout << "-----------------------------------------\n";
cout << "Num Blocks: " << numBlocks_ << endl;
cout << "Num NNZ Diags: " << numMatch << endl;
cout << "RowPerm and ColPerm \n";
for( int i = 0; i<n; ++i )
cout << rowPerm_[i] << "\t" << colPerm_[i] << endl;
cout << "-----------------------------------------\n";
}
}
// Broadcast the BTF permutation information to all processors.
rowPerm_.resize( nGlobal );
colPerm_.resize( nGlobal );
orig.Comm().Broadcast(&rowPerm_[0], nGlobal, matProc);
orig.Comm().Broadcast(&colPerm_[0], nGlobal, matProc);
orig.Comm().Broadcast(&numBlocks_, 1, matProc);
blockPtr_.resize( numBlocks_+1 );
orig.Comm().Broadcast(&blockPtr_[0], numBlocks_+1, matProc);
//Generate New Domain and Range Maps
//for now, assume they start out as identical
vector<int> myElements( n );
OldRowMap.MyGlobalElements( &myElements[0] );
vector<int> newDomainElements( n );
vector<int> newRangeElements( n );
for( int i = 0; i < n; ++i )
{
newRangeElements[ i ] = myElements[ rowPerm_[i] ];
newDomainElements[ i ] = myElements[ colPerm_[i] ];
}
NewRowMap_ = Teuchos::rcp( new Epetra_Map( nGlobal, n, &newRangeElements[0], OldRowMap.IndexBase(), OldRowMap.Comm() ) );
NewColMap_ = Teuchos::rcp( new Epetra_Map( nGlobal, n, &newDomainElements[0], OldColMap.IndexBase(), OldColMap.Comm() ) );
if( debug_ )
{
cout << "New Row Map\n";
cout << *NewRowMap_ << endl;
cout << "New Col Map\n";
cout << *NewColMap_ << endl;
}
//Generate New Graph
NewGraph_ = Teuchos::rcp( new Epetra_CrsGraph( Copy, *NewRowMap_, *NewColMap_, 0 ) );
Importer_ = Teuchos::rcp( new Epetra_Import( *NewRowMap_, OldRowMap ) );
NewGraph_->Import( strippedGraph, *Importer_, Insert );
NewGraph_->FillComplete();
if( debug_ )
{
cout << "NewGraph\n";
cout << *NewGraph_;
}
NewMatrix_ = Teuchos::rcp( new Epetra_CrsMatrix( Copy, *NewGraph_ ) );
NewMatrix_->Import( orig, *Importer_, Insert );
NewMatrix_->FillComplete();
if( debug_ )
{
cout << "New CrsMatrix\n";
cout << *NewMatrix_ << endl;
}
newObj_ = &*NewMatrix_;
return *NewMatrix_;
}
static KLU_symbolic *order_and_analyze /* returns NULL if error, or a valid
KLU_symbolic object if successful */
(
/* inputs, not modified */
Int n, /* A is n-by-n */
Int Ap [ ], /* size n+1, column pointers */
Int Ai [ ], /* size nz, row indices */
/* --------------------- */
KLU_common *Common
)
{
double work ;
KLU_symbolic *Symbolic ;
double *Lnz ;
Int *Qbtf, *Cp, *Ci, *Pinv, *Pblk, *Pbtf, *P, *Q, *R ;
Int nblocks, nz, block, maxblock, k1, k2, nk, do_btf, ordering, k, Cilen,
*Work ;
/* ---------------------------------------------------------------------- */
/* allocate the Symbolic object, and check input matrix */
/* ---------------------------------------------------------------------- */
Symbolic = KLU_alloc_symbolic (n, Ap, Ai, Common) ;
if (Symbolic == NULL)
{
return (NULL) ;
}
P = Symbolic->P ;
Q = Symbolic->Q ;
R = Symbolic->R ;
Lnz = Symbolic->Lnz ;
nz = Symbolic->nz ;
ordering = Common->ordering ;
if (ordering == 1)
{
/* COLAMD */
Cilen = COLAMD_recommended (nz, n, n) ;
}
else if (ordering == 0 || (ordering == 3 && Common->user_order != NULL))
{
/* AMD or user ordering function */
Cilen = nz+1 ;
}
else
{
/* invalid ordering */
Common->status = KLU_INVALID ;
KLU_free_symbolic (&Symbolic, Common) ;
return (NULL) ;
}
/* AMD memory management routines */
amd_malloc = Common->malloc_memory ;
amd_free = Common->free_memory ;
amd_calloc = Common->calloc_memory ;
amd_realloc = Common->realloc_memory ;
/* ---------------------------------------------------------------------- */
/* allocate workspace for BTF permutation */
/* ---------------------------------------------------------------------- */
Pbtf = KLU_malloc (n, sizeof (Int), Common) ;
Qbtf = KLU_malloc (n, sizeof (Int), Common) ;
if (Common->status < KLU_OK)
{
KLU_free (Pbtf, n, sizeof (Int), Common) ;
KLU_free (Qbtf, n, sizeof (Int), Common) ;
KLU_free_symbolic (&Symbolic, Common) ;
return (NULL) ;
}
/* ---------------------------------------------------------------------- */
/* get the common parameters for BTF and ordering method */
/* ---------------------------------------------------------------------- */
do_btf = Common->btf ;
do_btf = (do_btf) ? TRUE : FALSE ;
Symbolic->ordering = ordering ;
Symbolic->do_btf = do_btf ;
Symbolic->structural_rank = EMPTY ;
/* ---------------------------------------------------------------------- */
/* find the block triangular form (if requested) */
/* ---------------------------------------------------------------------- */
Common->work = 0 ;
if (do_btf)
{
Work = KLU_malloc (5*n, sizeof (Int), Common) ;
if (Common->status < KLU_OK)
{
/* out of memory */
KLU_free (Pbtf, n, sizeof (Int), Common) ;
KLU_free (Qbtf, n, sizeof (Int), Common) ;
KLU_free_symbolic (&Symbolic, Common) ;
return (NULL) ;
}
nblocks = BTF_order (n, Ap, Ai, Common->maxwork, &work, Pbtf, Qbtf, R,
&(Symbolic->structural_rank), Work) ;
Common->structural_rank = Symbolic->structural_rank ;
Common->work += work ;
KLU_free (Work, 5*n, sizeof (Int), Common) ;
/* unflip Qbtf if the matrix does not have full structural rank */
if (Symbolic->structural_rank < n)
{
for (k = 0 ; k < n ; k++)
{
Qbtf [k] = BTF_UNFLIP (Qbtf [k]) ;
}
}
/* find the size of the largest block */
maxblock = 1 ;
for (block = 0 ; block < nblocks ; block++)
{
k1 = R [block] ;
k2 = R [block+1] ;
nk = k2 - k1 ;
PRINTF (("block %d size %d\n", block, nk)) ;
maxblock = MAX (maxblock, nk) ;
}
}
else
{
/* BTF not requested */
nblocks = 1 ;
maxblock = n ;
R [0] = 0 ;
R [1] = n ;
for (k = 0 ; k < n ; k++)
{
Pbtf [k] = k ;
Qbtf [k] = k ;
}
}
Symbolic->nblocks = nblocks ;
PRINTF (("maxblock size %d\n", maxblock)) ;
Symbolic->maxblock = maxblock ;
/* ---------------------------------------------------------------------- */
/* allocate more workspace, for analyze_worker */
/* ---------------------------------------------------------------------- */
Pblk = KLU_malloc (maxblock, sizeof (Int), Common) ;
Cp = KLU_malloc (maxblock + 1, sizeof (Int), Common) ;
Ci = KLU_malloc (MAX (Cilen, nz+1), sizeof (Int), Common) ;
Pinv = KLU_malloc (n, sizeof (Int), Common) ;
/* ---------------------------------------------------------------------- */
/* order each block of the BTF ordering, and a fill-reducing ordering */
/* ---------------------------------------------------------------------- */
if (Common->status == KLU_OK)
{
PRINTF (("calling analyze_worker\n")) ;
Common->status = analyze_worker (n, Ap, Ai, nblocks, Pbtf, Qbtf, R,
ordering, P, Q, Lnz, Pblk, Cp, Ci, Cilen, Pinv, Symbolic, Common) ;
PRINTF (("analyze_worker done\n")) ;
}
/* ---------------------------------------------------------------------- */
/* free all workspace */
/* ---------------------------------------------------------------------- */
KLU_free (Pblk, maxblock, sizeof (Int), Common) ;
KLU_free (Cp, maxblock+1, sizeof (Int), Common) ;
KLU_free (Ci, MAX (Cilen, nz+1), sizeof (Int), Common) ;
KLU_free (Pinv, n, sizeof (Int), Common) ;
KLU_free (Pbtf, n, sizeof (Int), Common) ;
KLU_free (Qbtf, n, sizeof (Int), Common) ;
/* ---------------------------------------------------------------------- */
/* return the symbolic object */
/* ---------------------------------------------------------------------- */
if (Common->status < KLU_OK)
{
KLU_free_symbolic (&Symbolic, Common) ;
}
return (Symbolic) ;
}
void mexFunction
(
int nargout,
mxArray *pargout[],
int nargin,
const mxArray *pargin[]
)
{
Long b, n, i, k, j, *Ap, *Ai, *P, *R, nblocks, *Work, *Q, jj ;
double *Px, *Rx, *Qx ;
/* ---------------------------------------------------------------------- */
/* get inputs and allocate workspace */
/* ---------------------------------------------------------------------- */
if (!((nargin == 1 && nargout <= 2) || (nargin == 2 && nargout <= 3)))
{
mexErrMsgTxt ("Usage: [p,r] = strongcomp (A)"
" or [p,q,r] = strongcomp (A,qin)") ;
}
n = mxGetM (pargin [0]) ;
if (!mxIsSparse (pargin [0]) || n != mxGetN (pargin [0]))
{
mexErrMsgTxt ("strongcomp: A must be sparse, square, and non-empty") ;
}
/* get sparse matrix A */
Ap = (Long *) mxGetJc (pargin [0]) ;
Ai = (Long *) mxGetIr (pargin [0]) ;
/* get output arrays */
P = mxMalloc (n * sizeof (Long)) ;
R = mxMalloc ((n+1) * sizeof (Long)) ;
/* get workspace of size 4n (recursive code only needs 2n) */
Work = mxMalloc (4*n * sizeof (Long)) ;
/* get the input column permutation Q */
if (nargin == 2)
{
if (mxGetNumberOfElements (pargin [1]) != n)
{
mexErrMsgTxt
("strongcomp: qin must be a permutation vector of size n") ;
}
Qx = mxGetPr (pargin [1]) ;
Q = mxMalloc (n * sizeof (Long)) ;
/* connvert Qin to 0-based and check validity */
for (i = 0 ; i < n ; i++)
{
Work [i] = 0 ;
}
for (k = 0 ; k < n ; k++)
{
j = Qx [k] - 1 ; /* convert to 0-based */
jj = BTF_UNFLIP (j) ;
if (jj < 0 || jj >= n || Work [jj] == 1)
{
mexErrMsgTxt
("strongcomp: qin must be a permutation vector of size n") ;
}
Work [jj] = 1 ;
Q [k] = j ;
}
}
else
{
/* no input column permutation */
Q = (Long *) NULL ;
}
/* ---------------------------------------------------------------------- */
/* find the strongly-connected components of A */
/* ---------------------------------------------------------------------- */
nblocks = btf_l_strongcomp (n, Ap, Ai, Q, P, R, Work) ;
/* ---------------------------------------------------------------------- */
/* create outputs and free workspace */
/* ---------------------------------------------------------------------- */
/* create P */
pargout [0] = mxCreateDoubleMatrix (1, n, mxREAL) ;
Px = mxGetPr (pargout [0]) ;
for (k = 0 ; k < n ; k++)
{
Px [k] = P [k] + 1 ; /* convert to 1-based */
}
/* create Q */
if (nargin == 2 && nargout > 1)
{
pargout [1] = mxCreateDoubleMatrix (1, n, mxREAL) ;
Qx = mxGetPr (pargout [1]) ;
for (k = 0 ; k < n ; k++)
{
Qx [k] = Q [k] + 1 ; /* convert to 1-based */
}
}
/* create R */
if (nargout == nargin + 1)
{
pargout [nargin] = mxCreateDoubleMatrix (1, nblocks+1, mxREAL) ;
Rx = mxGetPr (pargout [nargin]) ;
for (b = 0 ; b <= nblocks ; b++)
{
Rx [b] = R [b] + 1 ; /* convert to 1-based */
}
}
mxFree (P) ;
mxFree (R) ;
mxFree (Work) ;
if (nargin == 2)
{
mxFree (Q) ;
}
}
