ScaLAPACK 2.1  2.1 ScaLAPACK: Scalable Linear Algebra PACKage
pcgbtrf.f
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1  SUBROUTINE pcgbtrf( N, BWL, BWU, A, JA, DESCA, IPIV, AF, LAF,
2  \$ WORK, LWORK, INFO )
3 *
4 * -- ScaLAPACK routine (version 2.0.2) --
5 * Univ. of Tennessee, Univ. of California Berkeley, Univ. of Colorado Denver
6 * May 1 2012
7 *
8 * .. Scalar Arguments ..
9  INTEGER BWL, BWU, INFO, JA, LAF, LWORK, N
10 * ..
11 * .. Array Arguments ..
12  INTEGER DESCA( * ), IPIV( * )
13  COMPLEX A( * ), AF( * ), WORK( * )
14 * ..
15 *
16 *
17 * Purpose
18 * =======
19 *
20 * PCGBTRF computes a LU factorization
21 * of an N-by-N complex banded
22 * distributed matrix
23 * with bandwidth BWL, BWU: A(1:N, JA:JA+N-1).
24 * Reordering is used to increase parallelism in the factorization.
25 * This reordering results in factors that are DIFFERENT from those
26 * produced by equivalent sequential codes. These factors cannot
27 * be used directly by users; however, they can be used in
28 * subsequent calls to PCGBTRS to solve linear systems.
29 *
30 * The factorization has the form
31 *
32 * P A(1:N, JA:JA+N-1) Q = L U
33 *
34 * where U is a banded upper triangular matrix and L is banded
35 * lower triangular, and P and Q are permutation matrices.
36 * The matrix Q represents reordering of columns
37 * for parallelism's sake, while P represents
38 * reordering of rows for numerical stability using
39 * classic partial pivoting.
40 *
41 * =====================================================================
42 *
43 * Arguments
44 * =========
45 *
46 *
47 * N (global input) INTEGER
48 * The number of rows and columns to be operated on, i.e. the
49 * order of the distributed submatrix A(1:N, JA:JA+N-1). N >= 0.
50 *
51 * BWL (global input) INTEGER
52 * Number of subdiagonals. 0 <= BWL <= N-1
53 *
54 * BWU (global input) INTEGER
55 * Number of superdiagonals. 0 <= BWU <= N-1
56 *
57 * A (local input/local output) COMPLEX pointer into
58 * local memory to an array with first dimension
59 * LLD_A >=(2*bwl+2*bwu+1) (stored in DESCA).
60 * On entry, this array contains the local pieces of the
61 * N-by-N unsymmetric banded distributed matrix
62 * A(1:N, JA:JA+N-1) to be factored.
63 * This local portion is stored in the packed banded format
64 * used in LAPACK. Please see the Notes below and the
65 * ScaLAPACK manual for more detail on the format of
66 * distributed matrices.
67 * On exit, this array contains information containing details
68 * of the factorization.
69 * Note that permutations are performed on the matrix, so that
70 * the factors returned are different from those returned
71 * by LAPACK.
72 *
73 * JA (global input) INTEGER
74 * The index in the global array A that points to the start of
75 * the matrix to be operated on (which may be either all of A
76 * or a submatrix of A).
77 *
78 * DESCA (global and local input) INTEGER array of dimension DLEN.
79 * if 1D type (DTYPE_A=501), DLEN >= 7;
80 * if 2D type (DTYPE_A=1), DLEN >= 9 .
81 * The array descriptor for the distributed matrix A.
82 * Contains information of mapping of A to memory. Please
83 * see NOTES below for full description and options.
84 *
85 * IPIV (local output) INTEGER array, dimension >= DESCA( NB ).
86 * Pivot indices for local factorizations.
87 * Users *should not* alter the contents between
88 * factorization and solve.
89 *
90 * AF (local output) COMPLEX array, dimension LAF.
91 * Auxiliary Fillin Space.
92 * Fillin is created during the factorization routine
93 * PCGBTRF and this is stored in AF. If a linear system
94 * is to be solved using PCGBTRS after the factorization
95 * routine, AF *must not be altered* after the factorization.
96 *
97 * LAF (local input) INTEGER
98 * Size of user-input Auxiliary Fillin space AF. Must be >=
99 * (NB+bwu)*(bwl+bwu)+6*(bwl+bwu)*(bwl+2*bwu)
100 * If LAF is not large enough, an error code will be returned
101 * and the minimum acceptable size will be returned in AF( 1 )
102 *
103 * WORK (local workspace/local output)
104 * COMPLEX temporary workspace. This space may
105 * be overwritten in between calls to routines. WORK must be
106 * the size given in LWORK.
107 * On exit, WORK( 1 ) contains the minimal LWORK.
108 *
109 * LWORK (local input or global input) INTEGER
110 * Size of user-input workspace WORK.
111 * If LWORK is too small, the minimal acceptable size will be
112 * returned in WORK(1) and an error code is returned. LWORK>=
113 * 1
114 *
115 * INFO (global output) INTEGER
116 * = 0: successful exit
117 * < 0: If the i-th argument is an array and the j-entry had
118 * an illegal value, then INFO = -(i*100+j), if the i-th
119 * argument is a scalar and had an illegal value, then
120 * INFO = -i.
121 * > 0: If INFO = K<=NPROCS, the submatrix stored on processor
122 * INFO and factored locally was not
123 * nonsingular, and
124 * the factorization was not completed.
125 * If INFO = K>NPROCS, the submatrix stored on processor
126 * INFO-NPROCS representing interactions with other
127 * processors was not
128 * nonsingular,
129 * and the factorization was not completed.
130 *
131 * =====================================================================
132 *
133 *
134 * Restrictions
135 * ============
136 *
137 * The following are restrictions on the input parameters. Some of these
138 * are temporary and will be removed in future releases, while others
139 * may reflect fundamental technical limitations.
140 *
141 * Non-cyclic restriction: VERY IMPORTANT!
142 * P*NB>= mod(JA-1,NB)+N.
143 * The mapping for matrices must be blocked, reflecting the nature
144 * of the divide and conquer algorithm as a task-parallel algorithm.
145 * This formula in words is: no processor may have more than one
146 * chunk of the matrix.
147 *
148 * Blocksize cannot be too small:
149 * If the matrix spans more than one processor, the following
150 * restriction on NB, the size of each block on each processor,
151 * must hold:
152 * NB >= (BWL+BWU)+1
153 * The bulk of parallel computation is done on the matrix of size
154 * O(NB) on each processor. If this is too small, divide and conquer
155 * is a poor choice of algorithm.
156 *
157 * Submatrix reference:
158 * JA = IB
159 * Alignment restriction that prevents unnecessary communication.
160 *
161 *
162 * =====================================================================
163 *
164 *
165 * Notes
166 * =====
167 *
168 * If the factorization routine and the solve routine are to be called
169 * separately (to solve various sets of righthand sides using the same
170 * coefficient matrix), the auxiliary space AF *must not be altered*
171 * between calls to the factorization routine and the solve routine.
172 *
173 * The best algorithm for solving banded and tridiagonal linear systems
174 * depends on a variety of parameters, especially the bandwidth.
175 * Currently, only algorithms designed for the case N/P >> bw are
176 * implemented. These go by many names, including Divide and Conquer,
177 * Partitioning, domain decomposition-type, etc.
178 *
179 * Algorithm description: Divide and Conquer
180 *
181 * The Divide and Conqer algorithm assumes the matrix is narrowly
182 * banded compared with the number of equations. In this situation,
183 * it is best to distribute the input matrix A one-dimensionally,
184 * with columns atomic and rows divided amongst the processes.
185 * The basic algorithm divides the banded matrix up into
186 * P pieces with one stored on each processor,
187 * and then proceeds in 2 phases for the factorization or 3 for the
188 * solution of a linear system.
189 * 1) Local Phase:
190 * The individual pieces are factored independently and in
191 * parallel. These factors are applied to the matrix creating
192 * fillin, which is stored in a non-inspectable way in auxiliary
193 * space AF. Mathematically, this is equivalent to reordering
194 * the matrix A as P A P^T and then factoring the principal
195 * leading submatrix of size equal to the sum of the sizes of
196 * the matrices factored on each processor. The factors of
197 * these submatrices overwrite the corresponding parts of A
198 * in memory.
199 * 2) Reduced System Phase:
200 * A small (max(bwl,bwu)* (P-1)) system is formed representing
201 * interaction of the larger blocks, and is stored (as are its
202 * factors) in the space AF. A parallel Block Cyclic Reduction
203 * algorithm is used. For a linear system, a parallel front solve
204 * followed by an analagous backsolve, both using the structure
205 * of the factored matrix, are performed.
206 * 3) Backsubsitution Phase:
207 * For a linear system, a local backsubstitution is performed on
208 * each processor in parallel.
209 *
210 *
211 * Descriptors
212 * ===========
213 *
214 * Descriptors now have *types* and differ from ScaLAPACK 1.0.
215 *
216 * Note: banded codes can use either the old two dimensional
217 * or new one-dimensional descriptors, though the processor grid in
218 * both cases *must be one-dimensional*. We describe both types below.
219 *
220 * Each global data object is described by an associated description
221 * vector. This vector stores the information required to establish
222 * the mapping between an object element and its corresponding process
223 * and memory location.
224 *
225 * Let A be a generic term for any 2D block cyclicly distributed array.
226 * Such a global array has an associated description vector DESCA.
227 * In the following comments, the character _ should be read as
228 * "of the global array".
229 *
230 * NOTATION STORED IN EXPLANATION
231 * --------------- -------------- --------------------------------------
232 * DTYPE_A(global) DESCA( DTYPE_ )The descriptor type. In this case,
233 * DTYPE_A = 1.
234 * CTXT_A (global) DESCA( CTXT_ ) The BLACS context handle, indicating
235 * the BLACS process grid A is distribu-
236 * ted over. The context itself is glo-
237 * bal, but the handle (the integer
238 * value) may vary.
239 * M_A (global) DESCA( M_ ) The number of rows in the global
240 * array A.
241 * N_A (global) DESCA( N_ ) The number of columns in the global
242 * array A.
243 * MB_A (global) DESCA( MB_ ) The blocking factor used to distribute
244 * the rows of the array.
245 * NB_A (global) DESCA( NB_ ) The blocking factor used to distribute
246 * the columns of the array.
247 * RSRC_A (global) DESCA( RSRC_ ) The process row over which the first
248 * row of the array A is distributed.
249 * CSRC_A (global) DESCA( CSRC_ ) The process column over which the
250 * first column of the array A is
251 * distributed.
252 * LLD_A (local) DESCA( LLD_ ) The leading dimension of the local
253 * array. LLD_A >= MAX(1,LOCr(M_A)).
254 *
255 * Let K be the number of rows or columns of a distributed matrix,
256 * and assume that its process grid has dimension p x q.
257 * LOCr( K ) denotes the number of elements of K that a process
258 * would receive if K were distributed over the p processes of its
259 * process column.
260 * Similarly, LOCc( K ) denotes the number of elements of K that a
261 * process would receive if K were distributed over the q processes of
262 * its process row.
263 * The values of LOCr() and LOCc() may be determined via a call to the
264 * ScaLAPACK tool function, NUMROC:
265 * LOCr( M ) = NUMROC( M, MB_A, MYROW, RSRC_A, NPROW ),
266 * LOCc( N ) = NUMROC( N, NB_A, MYCOL, CSRC_A, NPCOL ).
267 * An upper bound for these quantities may be computed by:
268 * LOCr( M ) <= ceil( ceil(M/MB_A)/NPROW )*MB_A
269 * LOCc( N ) <= ceil( ceil(N/NB_A)/NPCOL )*NB_A
270 *
271 *
272 * One-dimensional descriptors:
273 *
274 * One-dimensional descriptors are a new addition to ScaLAPACK since
275 * version 1.0. They simplify and shorten the descriptor for 1D
276 * arrays.
277 *
278 * Since ScaLAPACK supports two-dimensional arrays as the fundamental
279 * object, we allow 1D arrays to be distributed either over the
280 * first dimension of the array (as if the grid were P-by-1) or the
281 * 2nd dimension (as if the grid were 1-by-P). This choice is
282 * indicated by the descriptor type (501 or 502)
283 * as described below.
284 *
285 * IMPORTANT NOTE: the actual BLACS grid represented by the
286 * CTXT entry in the descriptor may be *either* P-by-1 or 1-by-P
287 * irrespective of which one-dimensional descriptor type
288 * (501 or 502) is input.
289 * This routine will interpret the grid properly either way.
290 * ScaLAPACK routines *do not support intercontext operations* so that
291 * the grid passed to a single ScaLAPACK routine *must be the same*
292 * for all array descriptors passed to that routine.
293 *
294 * NOTE: In all cases where 1D descriptors are used, 2D descriptors
295 * may also be used, since a one-dimensional array is a special case
296 * of a two-dimensional array with one dimension of size unity.
297 * The two-dimensional array used in this case *must* be of the
298 * proper orientation:
299 * If the appropriate one-dimensional descriptor is DTYPEA=501
300 * (1 by P type), then the two dimensional descriptor must
301 * have a CTXT value that refers to a 1 by P BLACS grid;
302 * If the appropriate one-dimensional descriptor is DTYPEA=502
303 * (P by 1 type), then the two dimensional descriptor must
304 * have a CTXT value that refers to a P by 1 BLACS grid.
305 *
306 *
307 * Summary of allowed descriptors, types, and BLACS grids:
308 * DTYPE 501 502 1 1
309 * BLACS grid 1xP or Px1 1xP or Px1 1xP Px1
310 * -----------------------------------------------------
311 * A OK NO OK NO
312 * B NO OK NO OK
313 *
314 * Let A be a generic term for any 1D block cyclicly distributed array.
315 * Such a global array has an associated description vector DESCA.
316 * In the following comments, the character _ should be read as
317 * "of the global array".
318 *
319 * NOTATION STORED IN EXPLANATION
320 * --------------- ---------- ------------------------------------------
321 * DTYPE_A(global) DESCA( 1 ) The descriptor type. For 1D grids,
322 * TYPE_A = 501: 1-by-P grid.
323 * TYPE_A = 502: P-by-1 grid.
324 * CTXT_A (global) DESCA( 2 ) The BLACS context handle, indicating
325 * the BLACS process grid A is distribu-
326 * ted over. The context itself is glo-
327 * bal, but the handle (the integer
328 * value) may vary.
329 * N_A (global) DESCA( 3 ) The size of the array dimension being
330 * distributed.
331 * NB_A (global) DESCA( 4 ) The blocking factor used to distribute
332 * the distributed dimension of the array.
333 * SRC_A (global) DESCA( 5 ) The process row or column over which the
334 * first row or column of the array
335 * is distributed.
336 * LLD_A (local) DESCA( 6 ) The leading dimension of the local array
337 * storing the local blocks of the distri-
338 * buted array A. Minimum value of LLD_A
339 * depends on TYPE_A.
340 * TYPE_A = 501: LLD_A >=
341 * size of undistributed dimension, 1.
342 * TYPE_A = 502: LLD_A >=NB_A, 1.
343 * Reserved DESCA( 7 ) Reserved for future use.
344 *
345 *
346 *
347 * =====================================================================
348 *
349 * Implemented for ScaLAPACK by:
350 * Andrew J. Cleary, Livermore National Lab and University of Tenn.,
351 * and Markus Hegland, Australian Natonal University. Feb., 1997.
352 * Based on code written by : Peter Arbenz, ETH Zurich, 1996.
353 *
354 * =====================================================================
355 *
356 * .. Parameters ..
357  REAL ONE, ZERO
358  parameter( one = 1.0e+0 )
359  parameter( zero = 0.0e+0 )
360  COMPLEX CONE, CZERO
361  parameter( cone = ( 1.0e+0, 0.0e+0 ) )
362  parameter( czero = ( 0.0e+0, 0.0e+0 ) )
363  INTEGER INT_ONE
364  parameter( int_one = 1 )
365  INTEGER DESCMULT, BIGNUM
366  parameter( descmult = 100, bignum = descmult*descmult )
367  INTEGER BLOCK_CYCLIC_2D, CSRC_, CTXT_, DLEN_, DTYPE_,
368  \$ lld_, mb_, m_, nb_, n_, rsrc_
369  parameter( block_cyclic_2d = 1, dlen_ = 9, dtype_ = 1,
370  \$ ctxt_ = 2, m_ = 3, n_ = 4, mb_ = 5, nb_ = 6,
371  \$ rsrc_ = 7, csrc_ = 8, lld_ = 9 )
372 * ..
373 * .. Local Scalars ..
374  INTEGER APTR, BBPTR, BIPTR, BM, BM1, BM2, BMN, BN, BW,
375  \$ csrc, dbptr, first_proc, i, ictxt, ictxt_new,
376  \$ ictxt_save, idum3, j, ja_new, jptr, l, laf_min,
377  \$ lbwl, lbwu, ldb, ldbb, llda, lm, lmj, ln, lnj,
378  \$ lptr, mycol, myrow, my_num_cols, nb, neicol,
379  \$ np, npact, npcol, nprow, npstr, np_save, nrhs,
380  \$ odd_n, odd_size, odptr, ofst, part_offset,
381  \$ part_size, return_code, store_n_a,
382  \$ work_size_min
383 * ..
384 * .. Local Arrays ..
385  INTEGER DESCA_1XP( 7 ), PARAM_CHECK( 9, 3 )
386 * ..
387 * .. External Subroutines ..
388  EXTERNAL blacs_gridexit, blacs_gridinfo, caxpy, cgemm,
389  \$ cgerv2d, cgesd2d, clamov, clatcpy, cpbtrf,
390  \$ cpotrf, csyrk, ctbtrs, ctrmm, ctrrv2d, ctrsd2d,
391  \$ ctrsm, ctrtrs, desc_convert, globchk, pxerbla,
392  \$ reshape
393 * ..
394 * .. External Functions ..
395  LOGICAL LSAME
396  INTEGER NUMROC
397  EXTERNAL lsame, numroc
398 * ..
399 * .. Intrinsic Functions ..
400  INTRINSIC ichar, min, mod
401 * ..
402 * .. Executable Statements ..
403 *
404 *
405 * Test the input parameters
406 *
407  info = 0
408 *
410 * parameters, check that grid is of right shape.
411 *
412  desca_1xp( 1 ) = 501
413 *
414  CALL desc_convert( desca, desca_1xp, return_code )
415 *
416  IF( return_code .NE. 0) THEN
417  info = -( 6*100 + 2 )
418  ENDIF
419 *
420 * Get values out of descriptor for use in code.
421 *
422  ictxt = desca_1xp( 2 )
423  csrc = desca_1xp( 5 )
424  nb = desca_1xp( 4 )
425  llda = desca_1xp( 6 )
426  store_n_a = desca_1xp( 3 )
427 *
428 * Get grid parameters
429 *
430 *
431  CALL blacs_gridinfo( ictxt, nprow, npcol, myrow, mycol )
432  np = nprow * npcol
433 *
434 *
435 *
436  IF( lwork .LT. -1) THEN
437  info = -11
438  ELSE IF ( lwork .EQ. -1 ) THEN
439  idum3 = -1
440  ELSE
441  idum3 = 1
442  ENDIF
443 *
444  IF( n .LT. 0 ) THEN
445  info = -1
446  ENDIF
447 *
448  IF( n+ja-1 .GT. store_n_a ) THEN
449  info = -( 6*100 + 6 )
450  ENDIF
451 *
452  IF(( bwl .GT. n-1 ) .OR.
453  \$ ( bwl .LT. 0 ) ) THEN
454  info = -2
455  ENDIF
456 *
457  IF(( bwu .GT. n-1 ) .OR.
458  \$ ( bwu .LT. 0 ) ) THEN
459  info = -3
460  ENDIF
461 *
462  IF( llda .LT. (2*bwl+2*bwu+1) ) THEN
463  info = -( 6*100 + 6 )
464  ENDIF
465 *
466  IF( nb .LE. 0 ) THEN
467  info = -( 6*100 + 4 )
468  ENDIF
469 *
470  bw = bwu+bwl
471 *
472 * Argument checking that is specific to Divide & Conquer routine
473 *
474  IF( nprow .NE. 1 ) THEN
475  info = -( 6*100+2 )
476  ENDIF
477 *
478  IF( n .GT. np*nb-mod( ja-1, nb )) THEN
479  info = -( 1 )
480  CALL pxerbla( ictxt,
481  \$ 'PCGBTRF, D&C alg.: only 1 block per proc',
482  \$ -info )
483  RETURN
484  ENDIF
485 *
486  IF((ja+n-1.GT.nb) .AND. ( nb.LT.(bwl+bwu+1) )) THEN
487  info = -( 6*100+4 )
488  CALL pxerbla( ictxt,
489  \$ 'PCGBTRF, D&C alg.: NB too small',
490  \$ -info )
491  RETURN
492  ENDIF
493 *
494 *
495 * Check auxiliary storage size
496 *
497  laf_min = (nb+bwu)*(bwl+bwu)+6*(bwl+bwu)*(bwl+2*bwu)
498 *
499  IF( laf .LT. laf_min ) THEN
500  info = -9
501 * put minimum value of laf into AF( 1 )
502  af( 1 ) = laf_min
503  CALL pxerbla( ictxt,
504  \$ 'PCGBTRF: auxiliary storage error ',
505  \$ -info )
506  RETURN
507  ENDIF
508 *
509 * Check worksize
510 *
511  work_size_min = 1
512 *
513  work( 1 ) = work_size_min
514 *
515  IF( lwork .LT. work_size_min ) THEN
516  IF( lwork .NE. -1 ) THEN
517  info = -11
518 * put minimum value of work into work( 1 )
519  work( 1 ) = work_size_min
520  CALL pxerbla( ictxt,
521  \$ 'PCGBTRF: worksize error ',
522  \$ -info )
523  ENDIF
524  RETURN
525  ENDIF
526 *
527 * Pack params and positions into arrays for global consistency check
528 *
529  param_check( 9, 1 ) = desca(5)
530  param_check( 8, 1 ) = desca(4)
531  param_check( 7, 1 ) = desca(3)
532  param_check( 6, 1 ) = desca(1)
533  param_check( 5, 1 ) = ja
534  param_check( 4, 1 ) = bwu
535  param_check( 3, 1 ) = bwl
536  param_check( 2, 1 ) = n
537  param_check( 1, 1 ) = idum3
538 *
539  param_check( 9, 2 ) = 605
540  param_check( 8, 2 ) = 604
541  param_check( 7, 2 ) = 603
542  param_check( 6, 2 ) = 601
543  param_check( 5, 2 ) = 5
544  param_check( 4, 2 ) = 3
545  param_check( 3, 2 ) = 2
546  param_check( 2, 2 ) = 1
547  param_check( 1, 2 ) = 11
548 *
549 * Want to find errors with MIN( ), so if no error, set it to a big
550 * number. If there already is an error, multiply by the the
551 * descriptor multiplier.
552 *
553  IF( info.GE.0 ) THEN
554  info = bignum
555  ELSE IF( info.LT.-descmult ) THEN
556  info = -info
557  ELSE
558  info = -info * descmult
559  END IF
560 *
561 * Check consistency across processors
562 *
563  CALL globchk( ictxt, 9, param_check, 9,
564  \$ param_check( 1, 3 ), info )
565 *
566 * Prepare output: set info = 0 if no error, and divide by DESCMULT
567 * if error is not in a descriptor entry.
568 *
569  IF( info.EQ.bignum ) THEN
570  info = 0
571  ELSE IF( mod( info, descmult ) .EQ. 0 ) THEN
572  info = -info / descmult
573  ELSE
574  info = -info
575  END IF
576 *
577  IF( info.LT.0 ) THEN
578  CALL pxerbla( ictxt, 'PCGBTRF', -info )
579  RETURN
580  END IF
581 *
582 * Quick return if possible
583 *
584  IF( n.EQ.0 )
585  \$ RETURN
586 *
587 *
589 * the beginning part of the relevant data
590 *
591  part_offset = nb*( (ja-1)/(npcol*nb) )
592 *
593  IF ( (mycol-csrc) .LT. (ja-part_offset-1)/nb ) THEN
594  part_offset = part_offset + nb
595  ENDIF
596 *
597  IF ( mycol .LT. csrc ) THEN
598  part_offset = part_offset - nb
599  ENDIF
600 *
601 * Form a new BLACS grid (the "standard form" grid) with only procs
602 * holding part of the matrix, of size 1xNP where NP is adjusted,
603 * starting at csrc=0, with JA modified to reflect dropped procs.
604 *
605 * First processor to hold part of the matrix:
606 *
607  first_proc = mod( ( ja-1 )/nb+csrc, npcol )
608 *
609 * Calculate new JA one while dropping off unused processors.
610 *
611  ja_new = mod( ja-1, nb ) + 1
612 *
613 * Save and compute new value of NP
614 *
615  np_save = np
616  np = ( ja_new+n-2 )/nb + 1
617 *
618 * Call utility routine that forms "standard-form" grid
619 *
620  CALL reshape( ictxt, int_one, ictxt_new, int_one,
621  \$ first_proc, int_one, np )
622 *
623 * Use new context from standard grid as context.
624 *
625  ictxt_save = ictxt
626  ictxt = ictxt_new
627  desca_1xp( 2 ) = ictxt_new
628 *
629 * Get information about new grid.
630 *
631  CALL blacs_gridinfo( ictxt, nprow, npcol, myrow, mycol )
632 *
633 * Drop out processors that do not have part of the matrix.
634 *
635  IF( myrow .LT. 0 ) THEN
636  GOTO 1234
637  ENDIF
638 *
639 * ********************************
640 * Values reused throughout routine
641 *
642 * User-input value of partition size
643 *
644  part_size = nb
645 *
646 * Number of columns in each processor
647 *
648  my_num_cols = numroc( n, part_size, mycol, 0, npcol )
649 *
650 * Offset in columns to beginning of main partition in each proc
651 *
652  IF ( mycol .EQ. 0 ) THEN
653  part_offset = part_offset+mod( ja_new-1, part_size )
654  my_num_cols = my_num_cols - mod(ja_new-1, part_size )
655  ENDIF
656 *
657 * Offset in elements
658 *
659  ofst = part_offset*llda
660 *
661 * Size of main (or odd) partition in each processor
662 *
663  odd_size = numroc( n, part_size, mycol, 0, npcol )
664 *
665 *
666 * Zero out space for fillin
667 *
668  DO 10 i = 1, laf_min
669  af( i ) = czero
670  10 CONTINUE
671 *
672  DO 9 j = 1, odd_size
673  DO 8 i = 1, bw
674  a( i+(j-1)*llda ) = czero
675  8 CONTINUE
676  9 CONTINUE
677 *
678 * Begin main code
679 *
680 ********************************************************************
681 * PHASE 1: Local computation phase.
682 ********************************************************************
683 *
684 *
685 * Transfer triangle B_i of local matrix to next processor
686 * for fillin. Overlap the send with the factorization of A_i.
687 *
688  IF (mycol .LE. npcol-2) THEN
689 *
690 * The last processor does not need to send anything.
691 * BIPTR = location of triangle B_i in memory
692  biptr = (nb-bw)*llda + 2*bw+1
693 *
694  CALL ctrsd2d( ictxt, 'U', 'N',
695  \$ min( bw, bwu+numroc( n, nb, mycol+1, 0, npcol ) ),
696  \$ bw, a(biptr), llda-1, 0, mycol+1)
697 *
698  ENDIF
699 *
700 * Factor main partition P_i A_i = L_i U_i on each processor
701 *
702 * LBWL, LBWU: lower and upper bandwidth of local solver
703 * Note that for MYCOL > 0 one has lower triangular blocks!
704 * LM is the number of rows which is usually NB except for
705 * MYCOL = 0 where it is BWU less and MYCOL=NPCOL-1 where it
706 * is NR+BWU where NR is the number of columns on the last processor
707 * Finally APTR is the pointer to the first element of A. As LAPACK
708 * has a slightly different matrix format than Scalapack the pointer
709 * has to be adjusted on processor MYCOL=0.
710 *
711  IF (mycol .NE. 0) THEN
712  lbwl = bw
713  lbwu = 0
714  aptr = 1
715  ELSE
716  lbwl = bwl
717  lbwu = bwu
718  aptr = 1+bwu
719  ENDIF
720 *
721  IF (mycol .NE. npcol-1) THEN
722  lm = nb - lbwu
723  ln = nb - bw
724  ELSE IF (mycol .NE. 0) THEN
725  lm = odd_size + bwu
726  ln = max(odd_size-bw,0)
727  ELSE
728  lm = n
729  ln = max( n-bw, 0 )
730  ENDIF
731 *
732  IF (ln .GT. 0) THEN
733 *
734  CALL cgbtrf(lm,ln, lbwl,lbwu, a(aptr),llda, ipiv, info)
735 *
736  IF( info.NE.0 ) THEN
737  info = info + nb*mycol
738  GO TO 90
739  END IF
740 *
741  nrhs = bw
742  ldb = llda-1
743 *
744 * Update the last BW columns of A_i (code modified from CGBTRS)
745 *
746 * Only the eliminations of unknowns > LN-BW have an effect on
747 * the last BW columns. Loop over them...
748 *
749  DO 23 j = max(ln-bw+1,1), ln
750 *
751  lmj = min( lbwl, lm-j )
752  lnj = min( bw, j+bw-ln+aptr-1 )
753 *
754  l = ipiv( j )
755 *
756  jptr = j-(ln+1)+2*bw+1-lbwl + ln*llda
757 *
758  IF( l.NE.j ) THEN
759 *
760 * Element (L,LN+1) is swapped with element (J,LN+1) etc
761 * Furthermore, the elements in the same row are LDB=LLDA-1 apart
762 * The complicated formulas are to cope with the banded
763 * data format:
764 *
765  lptr = l-(ln+1)+2*bw+1-lbwl + ln*llda
766 *
767  CALL cswap( lnj, a(lptr),ldb, a(jptr), ldb )
768 *
769  ENDIF
770 *
771 * LPTR is the pointer to the beginning of the
772 * coefficients of L
773 *
774  lptr = bw+1+aptr + (j-1)*llda
775 *
776  CALL cgeru(lmj,lnj,-cone, a(lptr),1, a(jptr),ldb,
777  \$ a(jptr+1),ldb)
778  23 CONTINUE
779 *
780  ENDIF
781 *
782 * Compute spike fill-in, L_i F_i = P_i B_{i-1}
783 *
784 * Receive triangle B_{i-1} from previous processor
785 *
786  IF (mycol .GT. 0) THEN
787 *
788  CALL ctrrv2d( ictxt, 'U', 'N', min(bw, lm), bw, af( 1 ),
789  \$ lm, 0, mycol-1)
790 *
791 *
792 * Permutation and forward elimination (triang. solve)
793 *
794  DO 24 j = 1, ln
795 *
796  lmj = min( lbwl, lm-j )
797  l = ipiv( j )
798 *
799  IF( l .NE. j ) THEN
800 *
801  CALL cswap(nrhs, af(l), lm, af(j), lm )
802  ENDIF
803 *
804  lptr = bw+1+aptr + (j-1)*llda
805 *
806  CALL cgeru( lmj,nrhs, -cone, a(lptr),1,
807  \$ af(j), lm, af(j+1), lm)
808 *
809  24 CONTINUE
810 *
811  ENDIF
812 *
813  90 CONTINUE
814 *
815 ********************************************************************
816 * PHASE 2: Formation and factorization of Reduced System.
817 ********************************************************************
818 *
819 * Define the initial dimensions of the diagonal blocks
820 * The offdiagonal blocks (for MYCOL > 0) are of size BM by BW
821 *
822  IF (mycol .NE. npcol-1) THEN
823  bm = bw - lbwu
824  bn = bw
825  ELSE
826  bm = min(bw,odd_size) + bwu
827  bn = min(bw,odd_size)
828  ENDIF
829 *
830 * Pointer to first element of block bidiagonal matrix in AF
831 * Leading dimension of block bidiagonal system
832 *
833  bbptr = (nb+bwu)*bw + 1
834  ldbb = 2*bw + bwu
835 *
836 * Copy from A and AF into block bidiagonal matrix (tail of AF)
837 *
838 * DBPTR = Pointer to diagonal blocks in A
839  dbptr = bw+1 + lbwu + ln*llda
840 *
841  CALL clamov('G',bm,bn, a(dbptr),llda-1,
842  \$ af(bbptr + bw*ldbb),ldbb)
843 *
844 * Zero out any junk entries that were copied
845 *
846  DO 870 j=1, bm
847  DO 880 i=j+lbwl, bm-1
848  af( bbptr+bw*ldbb+(j-1)*ldbb+i ) = czero
849  880 CONTINUE
850  870 CONTINUE
851 *
852  IF (mycol .NE. 0) THEN
853 *
854 * ODPTR = Pointer to offdiagonal blocks in A
855 *
856  odptr = lm-bm+1
857  CALL clamov('G',bm,bw, af(odptr),lm,
858  \$ af(bbptr +2*bw*ldbb),ldbb)
859  ENDIF
860 *
861  IF (npcol.EQ.1) THEN
862 *
863 * In this case the loop over the levels will not be
864 * performed.
865  CALL cgetrf( n-ln, n-ln, af(bbptr+bw*ldbb), ldbb,
866  \$ ipiv(ln+1), info)
867 *
868  ENDIF
869 *
870 * Loop over levels ... only occurs if npcol > 1
871 *
872 * The two integers NPACT (nu. of active processors) and NPSTR
873 * (stride between active processors) are used to control the
874 * loop.
875 *
876  npact = npcol
877  npstr = 1
878 *
879 * Begin loop over levels
880 *
881  200 IF (npact .LE. 1) GOTO 300
882 *
883 * Test if processor is active
884 *
885  IF (mod(mycol,npstr) .EQ. 0) THEN
886 *
888 *
889 *
890  IF (mod(mycol,2*npstr) .EQ. 0) THEN
891 *
892 * This node will potentially do more work later
893 *
894  neicol = mycol + npstr
895 *
896  IF (neicol/npstr .LT. npact-1) THEN
897  bmn = bw
898  ELSE IF (neicol/npstr .EQ. npact-1) THEN
899  odd_n = numroc(n, nb, npcol-1, 0, npcol)
900  bmn = min(bw,odd_n) + bwu
901  ELSE
902 *
903 * Last processor skips to next level
904  GOTO 250
905  ENDIF
906 *
907 * BM1 = M for 1st block on proc pair, BM2 2nd block
908 *
909  bm1 = bm
910  bm2 = bmn
911 *
912  IF (neicol/npstr .LE. npact-1 )THEN
913 *
914  CALL cgesd2d( ictxt, bm, 2*bw, af(bbptr+bw*ldbb),
915  \$ ldbb, 0, neicol )
916 *
917  CALL cgerv2d( ictxt, bmn, 2*bw, af(bbptr+bm),
918  \$ ldbb, 0, neicol)
919 *
920  IF( npact .EQ. 2 ) THEN
921 *
922 * Copy diagonal block to align whole system
923 *
924  CALL clamov( 'G', bmn, bw, af( bbptr+bm ),
925  \$ ldbb, af( bbptr+2*bw*ldbb+bm ), ldbb )
926  ENDIF
927 *
928  ENDIF
929 *
930  ELSE
931 *
932 * This node stops work after this stage -- an extra copy
933 * is required to make the odd and even frontal matrices
934 * look identical
935 *
936  neicol = mycol - npstr
937 *
938  IF (neicol .EQ. 0) THEN
939  bmn = bw - bwu
940  ELSE
941  bmn = bw
942  ENDIF
943 *
944  bm1 = bmn
945  bm2 = bm
946 *
947  CALL cgesd2d( ictxt, bm, 2*bw, af(bbptr+bw*ldbb),
948  \$ ldbb, 0, neicol )
949 *
950  CALL clamov('G',bm, 2*bw, af(bbptr+bw*ldbb),ldbb,
951  \$ af(bbptr+bmn),ldbb)
952 *
953  DO 31 j=bbptr+2*bw*ldbb, bbptr+3*bw*ldbb-1, ldbb
954  DO 32 i=0, ldbb-1
955  af(i+j) = czero
956  32 CONTINUE
957  31 CONTINUE
958 *
959  CALL cgerv2d( ictxt, bmn, 2*bw, af(bbptr+bw*ldbb),
960  \$ ldbb, 0, neicol)
961 *
962  IF( npact .EQ. 2 ) THEN
963 *
964 * Copy diagonal block to align whole system
965 *
966  CALL clamov( 'G', bm, bw, af( bbptr+bmn ),
967  \$ ldbb, af( bbptr+2*bw*ldbb+bmn ), ldbb )
968  ENDIF
969 *
970  ENDIF
971 *
972 * LU factorization with partial pivoting
973 *
974  IF (npact .NE. 2) THEN
975 *
976  CALL cgetrf(bm+bmn, bw, af(bbptr+bw*ldbb), ldbb,
977  \$ ipiv(ln+1), info)
978 *
979 * Backsolve left side
980 *
981  DO 301 j=bbptr,bbptr+bw*ldbb-1, ldbb
982  DO 302 i=0, bm1-1
983  af(i+j) = czero
984  302 CONTINUE
985  301 CONTINUE
986 *
987  CALL claswp(bw, af(bbptr), ldbb, 1, bw,
988  \$ ipiv(ln+1), 1)
989 *
990  CALL ctrsm('L','L','N','U', bw, bw, cone,
991  \$ af(bbptr+bw*ldbb), ldbb, af(bbptr), ldbb)
992 *
993 * Use partial factors to update remainder
994 *
995  CALL cgemm( 'N', 'N', bm+bmn-bw, bw, bw,
996  \$ -cone, af(bbptr+bw*ldbb+bw), ldbb,
997  \$ af( bbptr ), ldbb, cone,
998  \$ af( bbptr+bw ), ldbb )
999 *
1000 * Backsolve right side
1001 *
1002  nrhs = bw
1003 *
1004  CALL claswp(nrhs, af(bbptr+2*bw*ldbb), ldbb, 1, bw,
1005  \$ ipiv(ln+1), 1)
1006 *
1007  CALL ctrsm('L','L','N','U', bw, nrhs, cone,
1008  \$ af(bbptr+bw*ldbb), ldbb, af(bbptr+2*bw*ldbb), ldbb)
1009 *
1010 * Use partial factors to update remainder
1011 *
1012  CALL cgemm( 'N', 'N', bm+bmn-bw, nrhs, bw,
1013  \$ -cone, af(bbptr+bw*ldbb+bw), ldbb,
1014  \$ af( bbptr+2*bw*ldbb ), ldbb, cone,
1015  \$ af( bbptr+2*bw*ldbb+bw ), ldbb )
1016 *
1017 *
1018 * Test if processor is active in next round
1019 *
1020  IF (mod(mycol,2*npstr) .EQ. 0) THEN
1021 *
1022 * Reset BM
1023 *
1024  bm = bm1+bm2-bw
1025 *
1026 * Local copying in the block bidiagonal area
1027 *
1028 *
1029  CALL clamov('G',bm,bw,
1030  \$ af(bbptr+bw),
1031  \$ ldbb, af(bbptr+bw*ldbb), ldbb)
1032  CALL clamov('G',bm,bw,
1033  \$ af(bbptr+2*bw*ldbb+bw),
1034  \$ ldbb, af(bbptr+2*bw*ldbb), ldbb)
1035 *
1036 * Zero out space that held original copy
1037 *
1038  DO 1020 j=0, bw-1
1039  DO 1021 i=0, bm-1
1040  af(bbptr+2*bw*ldbb+bw+j*ldbb+i) = czero
1041  1021 CONTINUE
1042  1020 CONTINUE
1043 *
1044  ENDIF
1045 *
1046  ELSE
1047 *
1048 * Factor the final 2 by 2 block matrix
1049 *
1050  CALL cgetrf(bm+bmn,bm+bmn, af(bbptr+bw*ldbb), ldbb,
1051  \$ ipiv(ln+1), info)
1052  ENDIF
1053 *
1054  ENDIF
1055 *
1056 * Last processor in an odd-sized NPACT skips to here
1057 *
1058  250 CONTINUE
1059 *
1060  npact = (npact + 1)/2
1061  npstr = npstr * 2
1062  GOTO 200
1063 *
1064  300 CONTINUE
1065 * End loop over levels
1066 *
1067  1000 CONTINUE
1068 * If error was found in Phase 1, processors jump here.
1069 *
1070 * Free BLACS space used to hold standard-form grid.
1071 *
1072  ictxt = ictxt_save
1073  IF( ictxt.NE.ictxt_new ) THEN
1074  CALL blacs_gridexit( ictxt_new )
1075  END IF
1076 *
1077  1234 CONTINUE
1078 * If this processor did not hold part of the grid it
1079 * jumps here.
1080 *
1081 * Restore saved input parameters
1082 *
1083  ictxt = ictxt_save
1084  np = np_save
1085 *
1086 * Output worksize
1087 *
1088  work( 1 ) = work_size_min
1089 *
1090 * Make INFO consistent across processors
1091 *
1092  CALL igamx2d( ictxt, 'A', ' ', 1, 1, info, 1, info, info,
1093  \$ -1, 0, 0 )
1094 *
1095  IF( mycol.EQ.0 ) THEN
1096  CALL igebs2d( ictxt, 'A', ' ', 1, 1, info, 1 )
1097  ELSE
1098  CALL igebr2d( ictxt, 'A', ' ', 1, 1, info, 1, 0, 0 )
1099  ENDIF
1100 *
1101 *
1102  RETURN
1103 *
1104 * End of PCGBTRF
1105 *
1106  END
1107 *
globchk
subroutine globchk(ICTXT, N, X, LDX, IWORK, INFO)
Definition: pchkxmat.f:403
max
#define max(A, B)
Definition: pcgemr.c:180
reshape
void reshape(int *context_in, int *major_in, int *context_out, int *major_out, int *first_proc, int *nprow_new, int *npcol_new)
Definition: reshape.c:77
clatcpy
subroutine clatcpy(UPLO, M, N, A, LDA, B, LDB)
Definition: clatcpy.f:2
desc_convert
subroutine desc_convert(DESC_IN, DESC_OUT, INFO)
Definition: desc_convert.f:2
pxerbla
subroutine pxerbla(ICTXT, SRNAME, INFO)
Definition: pxerbla.f:2
pcgbtrf
subroutine pcgbtrf(N, BWL, BWU, A, JA, DESCA, IPIV, AF, LAF, WORK, LWORK, INFO)
Definition: pcgbtrf.f:3
min
#define min(A, B)
Definition: pcgemr.c:181