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dsytrd_sb2st.F 19 kB

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  1. *> \brief \b DSYTRD_SB2ST reduces a real symmetric band matrix A to real symmetric tridiagonal form T
  2. *
  3. * =========== DOCUMENTATION ===========
  4. *
  5. * Online html documentation available at
  6. * http://www.netlib.org/lapack/explore-html/
  7. *
  8. *> \htmlonly
  9. *> Download DSYTRD_SB2ST + dependencies
  10. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dsytrd_sb2st.f">
  11. *> [TGZ]</a>
  12. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dsytrd_sb2st.f">
  13. *> [ZIP]</a>
  14. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dsytrd_sb2st.f">
  15. *> [TXT]</a>
  16. *> \endhtmlonly
  17. *
  18. * Definition:
  19. * ===========
  20. *
  21. * SUBROUTINE DSYTRD_SB2ST( STAGE1, VECT, UPLO, N, KD, AB, LDAB,
  22. * D, E, HOUS, LHOUS, WORK, LWORK, INFO )
  23. *
  24. * #if defined(_OPENMP)
  25. * use omp_lib
  26. * #endif
  27. *
  28. * IMPLICIT NONE
  29. *
  30. * .. Scalar Arguments ..
  31. * CHARACTER STAGE1, UPLO, VECT
  32. * INTEGER N, KD, IB, LDAB, LHOUS, LWORK, INFO
  33. * ..
  34. * .. Array Arguments ..
  35. * DOUBLE PRECISION D( * ), E( * )
  36. * DOUBLE PRECISION AB( LDAB, * ), HOUS( * ), WORK( * )
  37. * ..
  38. *
  39. *
  40. *> \par Purpose:
  41. * =============
  42. *>
  43. *> \verbatim
  44. *>
  45. *> DSYTRD_SB2ST reduces a real symmetric band matrix A to real symmetric
  46. *> tridiagonal form T by a orthogonal similarity transformation:
  47. *> Q**T * A * Q = T.
  48. *> \endverbatim
  49. *
  50. * Arguments:
  51. * ==========
  52. *
  53. *> \param[in] STAGE1
  54. *> \verbatim
  55. *> STAGE1 is CHARACTER*1
  56. *> = 'N': "No": to mention that the stage 1 of the reduction
  57. *> from dense to band using the dsytrd_sy2sb routine
  58. *> was not called before this routine to reproduce AB.
  59. *> In other term this routine is called as standalone.
  60. *> = 'Y': "Yes": to mention that the stage 1 of the
  61. *> reduction from dense to band using the dsytrd_sy2sb
  62. *> routine has been called to produce AB (e.g., AB is
  63. *> the output of dsytrd_sy2sb.
  64. *> \endverbatim
  65. *>
  66. *> \param[in] VECT
  67. *> \verbatim
  68. *> VECT is CHARACTER*1
  69. *> = 'N': No need for the Housholder representation,
  70. *> and thus LHOUS is of size max(1, 4*N);
  71. *> = 'V': the Householder representation is needed to
  72. *> either generate or to apply Q later on,
  73. *> then LHOUS is to be queried and computed.
  74. *> (NOT AVAILABLE IN THIS RELEASE).
  75. *> \endverbatim
  76. *>
  77. *> \param[in] UPLO
  78. *> \verbatim
  79. *> UPLO is CHARACTER*1
  80. *> = 'U': Upper triangle of A is stored;
  81. *> = 'L': Lower triangle of A is stored.
  82. *> \endverbatim
  83. *>
  84. *> \param[in] N
  85. *> \verbatim
  86. *> N is INTEGER
  87. *> The order of the matrix A. N >= 0.
  88. *> \endverbatim
  89. *>
  90. *> \param[in] KD
  91. *> \verbatim
  92. *> KD is INTEGER
  93. *> The number of superdiagonals of the matrix A if UPLO = 'U',
  94. *> or the number of subdiagonals if UPLO = 'L'. KD >= 0.
  95. *> \endverbatim
  96. *>
  97. *> \param[in,out] AB
  98. *> \verbatim
  99. *> AB is DOUBLE PRECISION array, dimension (LDAB,N)
  100. *> On entry, the upper or lower triangle of the symmetric band
  101. *> matrix A, stored in the first KD+1 rows of the array. The
  102. *> j-th column of A is stored in the j-th column of the array AB
  103. *> as follows:
  104. *> if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
  105. *> if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+kd).
  106. *> On exit, the diagonal elements of AB are overwritten by the
  107. *> diagonal elements of the tridiagonal matrix T; if KD > 0, the
  108. *> elements on the first superdiagonal (if UPLO = 'U') or the
  109. *> first subdiagonal (if UPLO = 'L') are overwritten by the
  110. *> off-diagonal elements of T; the rest of AB is overwritten by
  111. *> values generated during the reduction.
  112. *> \endverbatim
  113. *>
  114. *> \param[in] LDAB
  115. *> \verbatim
  116. *> LDAB is INTEGER
  117. *> The leading dimension of the array AB. LDAB >= KD+1.
  118. *> \endverbatim
  119. *>
  120. *> \param[out] D
  121. *> \verbatim
  122. *> D is DOUBLE PRECISION array, dimension (N)
  123. *> The diagonal elements of the tridiagonal matrix T.
  124. *> \endverbatim
  125. *>
  126. *> \param[out] E
  127. *> \verbatim
  128. *> E is DOUBLE PRECISION array, dimension (N-1)
  129. *> The off-diagonal elements of the tridiagonal matrix T:
  130. *> E(i) = T(i,i+1) if UPLO = 'U'; E(i) = T(i+1,i) if UPLO = 'L'.
  131. *> \endverbatim
  132. *>
  133. *> \param[out] HOUS
  134. *> \verbatim
  135. *> HOUS is DOUBLE PRECISION array, dimension (MAX(1,LHOUS))
  136. *> Stores the Householder representation.
  137. *> \endverbatim
  138. *>
  139. *> \param[in] LHOUS
  140. *> \verbatim
  141. *> LHOUS is INTEGER
  142. *> The dimension of the array HOUS.
  143. *> If N = 0 or KD <= 1, LHOUS >= 1, else LHOUS = MAX(1, dimension).
  144. *>
  145. *> If LWORK = -1, or LHOUS = -1,
  146. *> then a query is assumed; the routine
  147. *> only calculates the optimal size of the HOUS array, returns
  148. *> this value as the first entry of the HOUS array, and no error
  149. *> message related to LHOUS is issued by XERBLA.
  150. *> LHOUS = MAX(1, dimension) where
  151. *> dimension = 4*N if VECT='N'
  152. *> not available now if VECT='H'
  153. *> \endverbatim
  154. *>
  155. *> \param[out] WORK
  156. *> \verbatim
  157. *> WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK))
  158. *> On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
  159. *> \endverbatim
  160. *>
  161. *> \param[in] LWORK
  162. *> \verbatim
  163. *> LWORK is INTEGER
  164. *> The dimension of the array WORK.
  165. *> If N = 0 or KD <= 1, LWORK >= 1, else LWORK = MAX(1, dimension).
  166. *>
  167. *> If LWORK = -1, or LHOUS = -1,
  168. *> then a workspace query is assumed; the routine
  169. *> only calculates the optimal size of the WORK array, returns
  170. *> this value as the first entry of the WORK array, and no error
  171. *> message related to LWORK is issued by XERBLA.
  172. *> LWORK = MAX(1, dimension) where
  173. *> dimension = (2KD+1)*N + KD*NTHREADS
  174. *> where KD is the blocking size of the reduction,
  175. *> FACTOPTNB is the blocking used by the QR or LQ
  176. *> algorithm, usually FACTOPTNB=128 is a good choice
  177. *> NTHREADS is the number of threads used when
  178. *> openMP compilation is enabled, otherwise =1.
  179. *> \endverbatim
  180. *>
  181. *> \param[out] INFO
  182. *> \verbatim
  183. *> INFO is INTEGER
  184. *> = 0: successful exit
  185. *> < 0: if INFO = -i, the i-th argument had an illegal value
  186. *> \endverbatim
  187. *
  188. * Authors:
  189. * ========
  190. *
  191. *> \author Univ. of Tennessee
  192. *> \author Univ. of California Berkeley
  193. *> \author Univ. of Colorado Denver
  194. *> \author NAG Ltd.
  195. *
  196. *> \ingroup hetrd_hb2st
  197. *
  198. *> \par Further Details:
  199. * =====================
  200. *>
  201. *> \verbatim
  202. *>
  203. *> Implemented by Azzam Haidar.
  204. *>
  205. *> All details are available on technical report, SC11, SC13 papers.
  206. *>
  207. *> Azzam Haidar, Hatem Ltaief, and Jack Dongarra.
  208. *> Parallel reduction to condensed forms for symmetric eigenvalue problems
  209. *> using aggregated fine-grained and memory-aware kernels. In Proceedings
  210. *> of 2011 International Conference for High Performance Computing,
  211. *> Networking, Storage and Analysis (SC '11), New York, NY, USA,
  212. *> Article 8 , 11 pages.
  213. *> http://doi.acm.org/10.1145/2063384.2063394
  214. *>
  215. *> A. Haidar, J. Kurzak, P. Luszczek, 2013.
  216. *> An improved parallel singular value algorithm and its implementation
  217. *> for multicore hardware, In Proceedings of 2013 International Conference
  218. *> for High Performance Computing, Networking, Storage and Analysis (SC '13).
  219. *> Denver, Colorado, USA, 2013.
  220. *> Article 90, 12 pages.
  221. *> http://doi.acm.org/10.1145/2503210.2503292
  222. *>
  223. *> A. Haidar, R. Solca, S. Tomov, T. Schulthess and J. Dongarra.
  224. *> A novel hybrid CPU-GPU generalized eigensolver for electronic structure
  225. *> calculations based on fine-grained memory aware tasks.
  226. *> International Journal of High Performance Computing Applications.
  227. *> Volume 28 Issue 2, Pages 196-209, May 2014.
  228. *> http://hpc.sagepub.com/content/28/2/196
  229. *>
  230. *> \endverbatim
  231. *>
  232. * =====================================================================
  233. SUBROUTINE DSYTRD_SB2ST( STAGE1, VECT, UPLO, N, KD, AB, LDAB,
  234. $ D, E, HOUS, LHOUS, WORK, LWORK, INFO )
  235. *
  236. #if defined(_OPENMP)
  237. use omp_lib
  238. #endif
  239. *
  240. IMPLICIT NONE
  241. *
  242. * -- LAPACK computational routine --
  243. * -- LAPACK is a software package provided by Univ. of Tennessee, --
  244. * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
  245. *
  246. * .. Scalar Arguments ..
  247. CHARACTER STAGE1, UPLO, VECT
  248. INTEGER N, KD, LDAB, LHOUS, LWORK, INFO
  249. * ..
  250. * .. Array Arguments ..
  251. DOUBLE PRECISION D( * ), E( * )
  252. DOUBLE PRECISION AB( LDAB, * ), HOUS( * ), WORK( * )
  253. * ..
  254. *
  255. * =====================================================================
  256. *
  257. * .. Parameters ..
  258. DOUBLE PRECISION RZERO
  259. DOUBLE PRECISION ZERO, ONE
  260. PARAMETER ( RZERO = 0.0D+0,
  261. $ ZERO = 0.0D+0,
  262. $ ONE = 1.0D+0 )
  263. * ..
  264. * .. Local Scalars ..
  265. LOGICAL LQUERY, WANTQ, UPPER, AFTERS1
  266. INTEGER I, M, K, IB, SWEEPID, MYID, SHIFT, STT, ST,
  267. $ ED, STIND, EDIND, BLKLASTIND, COLPT, THED,
  268. $ STEPERCOL, GRSIZ, THGRSIZ, THGRNB, THGRID,
  269. $ NBTILES, TTYPE, TID, NTHREADS,
  270. $ ABDPOS, ABOFDPOS, DPOS, OFDPOS, AWPOS,
  271. $ INDA, INDW, APOS, SIZEA, LDA, INDV, INDTAU,
  272. $ SIDEV, SIZETAU, LDV, LHMIN, LWMIN
  273. * ..
  274. * .. External Subroutines ..
  275. EXTERNAL DSB2ST_KERNELS, DLACPY, DLASET, XERBLA
  276. * ..
  277. * .. Intrinsic Functions ..
  278. INTRINSIC MIN, MAX, CEILING, REAL
  279. * ..
  280. * .. External Functions ..
  281. LOGICAL LSAME
  282. INTEGER ILAENV2STAGE
  283. EXTERNAL LSAME, ILAENV2STAGE
  284. * ..
  285. * .. Executable Statements ..
  286. *
  287. * Determine the minimal workspace size required.
  288. * Test the input parameters
  289. *
  290. INFO = 0
  291. AFTERS1 = LSAME( STAGE1, 'Y' )
  292. WANTQ = LSAME( VECT, 'V' )
  293. UPPER = LSAME( UPLO, 'U' )
  294. LQUERY = ( LWORK.EQ.-1 ) .OR. ( LHOUS.EQ.-1 )
  295. *
  296. * Determine the block size, the workspace size and the hous size.
  297. *
  298. IB = ILAENV2STAGE( 2, 'DSYTRD_SB2ST', VECT, N, KD, -1, -1 )
  299. IF( N.EQ.0 .OR. KD.LE.1 ) THEN
  300. LHMIN = 1
  301. LWMIN = 1
  302. ELSE
  303. LHMIN = ILAENV2STAGE( 3, 'DSYTRD_SB2ST', VECT, N, KD, IB, -1 )
  304. LWMIN = ILAENV2STAGE( 4, 'DSYTRD_SB2ST', VECT, N, KD, IB, -1 )
  305. END IF
  306. *
  307. IF( .NOT.AFTERS1 .AND. .NOT.LSAME( STAGE1, 'N' ) ) THEN
  308. INFO = -1
  309. ELSE IF( .NOT.LSAME( VECT, 'N' ) ) THEN
  310. INFO = -2
  311. ELSE IF( .NOT.UPPER .AND. .NOT.LSAME( UPLO, 'L' ) ) THEN
  312. INFO = -3
  313. ELSE IF( N.LT.0 ) THEN
  314. INFO = -4
  315. ELSE IF( KD.LT.0 ) THEN
  316. INFO = -5
  317. ELSE IF( LDAB.LT.(KD+1) ) THEN
  318. INFO = -7
  319. ELSE IF( LHOUS.LT.LHMIN .AND. .NOT.LQUERY ) THEN
  320. INFO = -11
  321. ELSE IF( LWORK.LT.LWMIN .AND. .NOT.LQUERY ) THEN
  322. INFO = -13
  323. END IF
  324. *
  325. IF( INFO.EQ.0 ) THEN
  326. HOUS( 1 ) = LHMIN
  327. WORK( 1 ) = LWMIN
  328. END IF
  329. *
  330. IF( INFO.NE.0 ) THEN
  331. CALL XERBLA( 'DSYTRD_SB2ST', -INFO )
  332. RETURN
  333. ELSE IF( LQUERY ) THEN
  334. RETURN
  335. END IF
  336. *
  337. * Quick return if possible
  338. *
  339. IF( N.EQ.0 ) THEN
  340. HOUS( 1 ) = 1
  341. WORK( 1 ) = 1
  342. RETURN
  343. END IF
  344. *
  345. * Determine pointer position
  346. *
  347. LDV = KD + IB
  348. SIZETAU = 2 * N
  349. SIDEV = 2 * N
  350. INDTAU = 1
  351. INDV = INDTAU + SIZETAU
  352. LDA = 2 * KD + 1
  353. SIZEA = LDA * N
  354. INDA = 1
  355. INDW = INDA + SIZEA
  356. NTHREADS = 1
  357. TID = 0
  358. *
  359. IF( UPPER ) THEN
  360. APOS = INDA + KD
  361. AWPOS = INDA
  362. DPOS = APOS + KD
  363. OFDPOS = DPOS - 1
  364. ABDPOS = KD + 1
  365. ABOFDPOS = KD
  366. ELSE
  367. APOS = INDA
  368. AWPOS = INDA + KD + 1
  369. DPOS = APOS
  370. OFDPOS = DPOS + 1
  371. ABDPOS = 1
  372. ABOFDPOS = 2
  373. ENDIF
  374. *
  375. * Case KD=0:
  376. * The matrix is diagonal. We just copy it (convert to "real" for
  377. * real because D is double and the imaginary part should be 0)
  378. * and store it in D. A sequential code here is better or
  379. * in a parallel environment it might need two cores for D and E
  380. *
  381. IF( KD.EQ.0 ) THEN
  382. DO 30 I = 1, N
  383. D( I ) = ( AB( ABDPOS, I ) )
  384. 30 CONTINUE
  385. DO 40 I = 1, N-1
  386. E( I ) = RZERO
  387. 40 CONTINUE
  388. *
  389. HOUS( 1 ) = 1
  390. WORK( 1 ) = 1
  391. RETURN
  392. END IF
  393. *
  394. * Case KD=1:
  395. * The matrix is already Tridiagonal. We have to make diagonal
  396. * and offdiagonal elements real, and store them in D and E.
  397. * For that, for real precision just copy the diag and offdiag
  398. * to D and E while for the COMPLEX case the bulge chasing is
  399. * performed to convert the hermetian tridiagonal to symmetric
  400. * tridiagonal. A simpler conversion formula might be used, but then
  401. * updating the Q matrix will be required and based if Q is generated
  402. * or not this might complicate the story.
  403. *
  404. IF( KD.EQ.1 ) THEN
  405. DO 50 I = 1, N
  406. D( I ) = ( AB( ABDPOS, I ) )
  407. 50 CONTINUE
  408. *
  409. IF( UPPER ) THEN
  410. DO 60 I = 1, N-1
  411. E( I ) = ( AB( ABOFDPOS, I+1 ) )
  412. 60 CONTINUE
  413. ELSE
  414. DO 70 I = 1, N-1
  415. E( I ) = ( AB( ABOFDPOS, I ) )
  416. 70 CONTINUE
  417. ENDIF
  418. *
  419. HOUS( 1 ) = 1
  420. WORK( 1 ) = 1
  421. RETURN
  422. END IF
  423. *
  424. * Main code start here.
  425. * Reduce the symmetric band of A to a tridiagonal matrix.
  426. *
  427. THGRSIZ = N
  428. GRSIZ = 1
  429. SHIFT = 3
  430. NBTILES = CEILING( REAL(N)/REAL(KD) )
  431. STEPERCOL = CEILING( REAL(SHIFT)/REAL(GRSIZ) )
  432. THGRNB = CEILING( REAL(N-1)/REAL(THGRSIZ) )
  433. *
  434. CALL DLACPY( "A", KD+1, N, AB, LDAB, WORK( APOS ), LDA )
  435. CALL DLASET( "A", KD, N, ZERO, ZERO, WORK( AWPOS ), LDA )
  436. *
  437. *
  438. * openMP parallelisation start here
  439. *
  440. #if defined(_OPENMP)
  441. !$OMP PARALLEL PRIVATE( TID, THGRID, BLKLASTIND )
  442. !$OMP$ PRIVATE( THED, I, M, K, ST, ED, STT, SWEEPID )
  443. !$OMP$ PRIVATE( MYID, TTYPE, COLPT, STIND, EDIND )
  444. !$OMP$ SHARED ( UPLO, WANTQ, INDV, INDTAU, HOUS, WORK)
  445. !$OMP$ SHARED ( N, KD, IB, NBTILES, LDA, LDV, INDA )
  446. !$OMP$ SHARED ( STEPERCOL, THGRNB, THGRSIZ, GRSIZ, SHIFT )
  447. !$OMP MASTER
  448. #endif
  449. *
  450. * main bulge chasing loop
  451. *
  452. DO 100 THGRID = 1, THGRNB
  453. STT = (THGRID-1)*THGRSIZ+1
  454. THED = MIN( (STT + THGRSIZ -1), (N-1))
  455. DO 110 I = STT, N-1
  456. ED = MIN( I, THED )
  457. IF( STT.GT.ED ) EXIT
  458. DO 120 M = 1, STEPERCOL
  459. ST = STT
  460. DO 130 SWEEPID = ST, ED
  461. DO 140 K = 1, GRSIZ
  462. MYID = (I-SWEEPID)*(STEPERCOL*GRSIZ)
  463. $ + (M-1)*GRSIZ + K
  464. IF ( MYID.EQ.1 ) THEN
  465. TTYPE = 1
  466. ELSE
  467. TTYPE = MOD( MYID, 2 ) + 2
  468. ENDIF
  469. IF( TTYPE.EQ.2 ) THEN
  470. COLPT = (MYID/2)*KD + SWEEPID
  471. STIND = COLPT-KD+1
  472. EDIND = MIN(COLPT,N)
  473. BLKLASTIND = COLPT
  474. ELSE
  475. COLPT = ((MYID+1)/2)*KD + SWEEPID
  476. STIND = COLPT-KD+1
  477. EDIND = MIN(COLPT,N)
  478. IF( ( STIND.GE.EDIND-1 ).AND.
  479. $ ( EDIND.EQ.N ) ) THEN
  480. BLKLASTIND = N
  481. ELSE
  482. BLKLASTIND = 0
  483. ENDIF
  484. ENDIF
  485. *
  486. * Call the kernel
  487. *
  488. #if defined(_OPENMP) && _OPENMP >= 201307
  489. IF( TTYPE.NE.1 ) THEN
  490. !$OMP TASK DEPEND(in:WORK(MYID+SHIFT-1))
  491. !$OMP$ DEPEND(in:WORK(MYID-1))
  492. !$OMP$ DEPEND(out:WORK(MYID))
  493. TID = OMP_GET_THREAD_NUM()
  494. CALL DSB2ST_KERNELS( UPLO, WANTQ, TTYPE,
  495. $ STIND, EDIND, SWEEPID, N, KD, IB,
  496. $ WORK ( INDA ), LDA,
  497. $ HOUS( INDV ), HOUS( INDTAU ), LDV,
  498. $ WORK( INDW + TID*KD ) )
  499. !$OMP END TASK
  500. ELSE
  501. !$OMP TASK DEPEND(in:WORK(MYID+SHIFT-1))
  502. !$OMP$ DEPEND(out:WORK(MYID))
  503. TID = OMP_GET_THREAD_NUM()
  504. CALL DSB2ST_KERNELS( UPLO, WANTQ, TTYPE,
  505. $ STIND, EDIND, SWEEPID, N, KD, IB,
  506. $ WORK ( INDA ), LDA,
  507. $ HOUS( INDV ), HOUS( INDTAU ), LDV,
  508. $ WORK( INDW + TID*KD ) )
  509. !$OMP END TASK
  510. ENDIF
  511. #else
  512. CALL DSB2ST_KERNELS( UPLO, WANTQ, TTYPE,
  513. $ STIND, EDIND, SWEEPID, N, KD, IB,
  514. $ WORK ( INDA ), LDA,
  515. $ HOUS( INDV ), HOUS( INDTAU ), LDV,
  516. $ WORK( INDW ) )
  517. #endif
  518. IF ( BLKLASTIND.GE.(N-1) ) THEN
  519. STT = STT + 1
  520. EXIT
  521. ENDIF
  522. 140 CONTINUE
  523. 130 CONTINUE
  524. 120 CONTINUE
  525. 110 CONTINUE
  526. 100 CONTINUE
  527. *
  528. #if defined(_OPENMP)
  529. !$OMP END MASTER
  530. !$OMP END PARALLEL
  531. #endif
  532. *
  533. * Copy the diagonal from A to D. Note that D is REAL thus only
  534. * the Real part is needed, the imaginary part should be zero.
  535. *
  536. DO 150 I = 1, N
  537. D( I ) = ( WORK( DPOS+(I-1)*LDA ) )
  538. 150 CONTINUE
  539. *
  540. * Copy the off diagonal from A to E. Note that E is REAL thus only
  541. * the Real part is needed, the imaginary part should be zero.
  542. *
  543. IF( UPPER ) THEN
  544. DO 160 I = 1, N-1
  545. E( I ) = ( WORK( OFDPOS+I*LDA ) )
  546. 160 CONTINUE
  547. ELSE
  548. DO 170 I = 1, N-1
  549. E( I ) = ( WORK( OFDPOS+(I-1)*LDA ) )
  550. 170 CONTINUE
  551. ENDIF
  552. *
  553. WORK( 1 ) = LWMIN
  554. RETURN
  555. *
  556. * End of DSYTRD_SB2ST
  557. *
  558. END