SUBROUTINE PDDBTRF( N, BWL, BWU, A, JA, DESCA, AF, LAF, WORK, $ LWORK, INFO ) * * -- ScaLAPACK routine (version 1.7) -- * University of Tennessee, Knoxville, Oak Ridge National Laboratory, * and University of California, Berkeley. * April 3, 2000 * * .. Scalar Arguments .. INTEGER BWL, BWU, INFO, JA, LAF, LWORK, N * .. * .. Array Arguments .. INTEGER DESCA( * ) DOUBLE PRECISION A( * ), AF( * ), WORK( * ) * .. * * Purpose * ======= * * PDDBTRF computes a LU factorization * of an N-by-N real banded * diagonally dominant-like distributed matrix * with bandwidth BWL, BWU: A(1:N, JA:JA+N-1). * Reordering is used to increase parallelism in the factorization. * This reordering results in factors that are DIFFERENT from those * produced by equivalent sequential codes. These factors cannot * be used directly by users; however, they can be used in * subsequent calls to PDDBTRS to solve linear systems. * * The factorization has the form * * P A(1:N, JA:JA+N-1) P^T = L U * * where U is a banded upper triangular matrix and L is banded * lower triangular, and P is a permutation matrix. * * ===================================================================== * * Arguments * ========= * * * N (global input) INTEGER * The number of rows and columns to be operated on, i.e. the * order of the distributed submatrix A(1:N, JA:JA+N-1). N >= 0. * * BWL (global input) INTEGER * Number of subdiagonals. 0 <= BWL <= N-1 * * BWU (global input) INTEGER * Number of superdiagonals. 0 <= BWU <= N-1 * * A (local input/local output) DOUBLE PRECISION pointer into * local memory to an array with first dimension * LLD_A >=(bwl+bwu+1) (stored in DESCA). * On entry, this array contains the local pieces of the * N-by-N unsymmetric banded distributed matrix * A(1:N, JA:JA+N-1) to be factored. * This local portion is stored in the packed banded format * used in LAPACK. Please see the Notes below and the * ScaLAPACK manual for more detail on the format of * distributed matrices. * On exit, this array contains information containing details * of the factorization. * Note that permutations are performed on the matrix, so that * the factors returned are different from those returned * by LAPACK. * * JA (global input) INTEGER * The index in the global array A that points to the start of * the matrix to be operated on (which may be either all of A * or a submatrix of A). * * DESCA (global and local input) INTEGER array of dimension DLEN. * if 1D type (DTYPE_A=501), DLEN >= 7; * if 2D type (DTYPE_A=1), DLEN >= 9 . * The array descriptor for the distributed matrix A. * Contains information of mapping of A to memory. Please * see NOTES below for full description and options. * * AF (local output) DOUBLE PRECISION array, dimension LAF. * Auxiliary Fillin Space. * Fillin is created during the factorization routine * PDDBTRF and this is stored in AF. If a linear system * is to be solved using PDDBTRS after the factorization * routine, AF *must not be altered* after the factorization. * * LAF (local input) INTEGER * Size of user-input Auxiliary Fillin space AF. Must be >= * NB*(bwl+bwu)+6*max(bwl,bwu)*max(bwl,bwu) * If LAF is not large enough, an error code will be returned * and the minimum acceptable size will be returned in AF( 1 ) * * WORK (local workspace/local output) * DOUBLE PRECISION temporary workspace. This space may * be overwritten in between calls to routines. WORK must be * the size given in LWORK. * On exit, WORK( 1 ) contains the minimal LWORK. * * LWORK (local input or global input) INTEGER * Size of user-input workspace WORK. * If LWORK is too small, the minimal acceptable size will be * returned in WORK(1) and an error code is returned. LWORK>= * max(bwl,bwu)*max(bwl,bwu) * * INFO (global output) INTEGER * = 0: successful exit * < 0: If the i-th argument is an array and the j-entry had * an illegal value, then INFO = -(i*100+j), if the i-th * argument is a scalar and had an illegal value, then * INFO = -i. * > 0: If INFO = K<=NPROCS, the submatrix stored on processor * INFO and factored locally was not * diagonally dominant-like, and * the factorization was not completed. * If INFO = K>NPROCS, the submatrix stored on processor * INFO-NPROCS representing interactions with other * processors was not * stably factorable wo/interchanges, * and the factorization was not completed. * * ===================================================================== * * Restrictions * ============ * * The following are restrictions on the input parameters. Some of these * are temporary and will be removed in future releases, while others * may reflect fundamental technical limitations. * * Non-cyclic restriction: VERY IMPORTANT! * P*NB>= mod(JA-1,NB)+N. * The mapping for matrices must be blocked, reflecting the nature * of the divide and conquer algorithm as a task-parallel algorithm. * This formula in words is: no processor may have more than one * chunk of the matrix. * * Blocksize cannot be too small: * If the matrix spans more than one processor, the following * restriction on NB, the size of each block on each processor, * must hold: * NB >= 2*MAX(BWL,BWU) * The bulk of parallel computation is done on the matrix of size * O(NB) on each processor. If this is too small, divide and conquer * is a poor choice of algorithm. * * Submatrix reference: * JA = IB * Alignment restriction that prevents unnecessary communication. * * * ===================================================================== * * Notes * ===== * * If the factorization routine and the solve routine are to be called * separately (to solve various sets of righthand sides using the same * coefficient matrix), the auxiliary space AF *must not be altered* * between calls to the factorization routine and the solve routine. * * The best algorithm for solving banded and tridiagonal linear systems * depends on a variety of parameters, especially the bandwidth. * Currently, only algorithms designed for the case N/P >> bw are * implemented. These go by many names, including Divide and Conquer, * Partitioning, domain decomposition-type, etc. * * Algorithm description: Divide and Conquer * * The Divide and Conqer algorithm assumes the matrix is narrowly * banded compared with the number of equations. In this situation, * it is best to distribute the input matrix A one-dimensionally, * with columns atomic and rows divided amongst the processes. * The basic algorithm divides the banded matrix up into * P pieces with one stored on each processor, * and then proceeds in 2 phases for the factorization or 3 for the * solution of a linear system. * 1) Local Phase: * The individual pieces are factored independently and in * parallel. These factors are applied to the matrix creating * fillin, which is stored in a non-inspectable way in auxiliary * space AF. Mathematically, this is equivalent to reordering * the matrix A as P A P^T and then factoring the principal * leading submatrix of size equal to the sum of the sizes of * the matrices factored on each processor. The factors of * these submatrices overwrite the corresponding parts of A * in memory. * 2) Reduced System Phase: * A small (max(bwl,bwu)* (P-1)) system is formed representing * interaction of the larger blocks, and is stored (as are its * factors) in the space AF. A parallel Block Cyclic Reduction * algorithm is used. For a linear system, a parallel front solve * followed by an analagous backsolve, both using the structure * of the factored matrix, are performed. * 3) Backsubsitution Phase: * For a linear system, a local backsubstitution is performed on * each processor in parallel. * * Descriptors * =========== * * Descriptors now have *types* and differ from ScaLAPACK 1.0. * * Note: banded codes can use either the old two dimensional * or new one-dimensional descriptors, though the processor grid in * both cases *must be one-dimensional*. We describe both types below. * * Each global data object is described by an associated description * vector. This vector stores the information required to establish * the mapping between an object element and its corresponding process * and memory location. * * Let A be a generic term for any 2D block cyclicly distributed array. * Such a global array has an associated description vector DESCA. * In the following comments, the character _ should be read as * "of the global array". * * NOTATION STORED IN EXPLANATION * --------------- -------------- -------------------------------------- * DTYPE_A(global) DESCA( DTYPE_ )The descriptor type. In this case, * DTYPE_A = 1. * CTXT_A (global) DESCA( CTXT_ ) The BLACS context handle, indicating * the BLACS process grid A is distribu- * ted over. The context itself is glo- * bal, but the handle (the integer * value) may vary. * M_A (global) DESCA( M_ ) The number of rows in the global * array A. * N_A (global) DESCA( N_ ) The number of columns in the global * array A. * MB_A (global) DESCA( MB_ ) The blocking factor used to distribute * the rows of the array. * NB_A (global) DESCA( NB_ ) The blocking factor used to distribute * the columns of the array. * RSRC_A (global) DESCA( RSRC_ ) The process row over which the first * row of the array A is distributed. * CSRC_A (global) DESCA( CSRC_ ) The process column over which the * first column of the array A is * distributed. * LLD_A (local) DESCA( LLD_ ) The leading dimension of the local * array. LLD_A >= MAX(1,LOCr(M_A)). * * Let K be the number of rows or columns of a distributed matrix, * and assume that its process grid has dimension p x q. * LOCr( K ) denotes the number of elements of K that a process * would receive if K were distributed over the p processes of its * process column. * Similarly, LOCc( K ) denotes the number of elements of K that a * process would receive if K were distributed over the q processes of * its process row. * The values of LOCr() and LOCc() may be determined via a call to the * ScaLAPACK tool function, NUMROC: * LOCr( M ) = NUMROC( M, MB_A, MYROW, RSRC_A, NPROW ), * LOCc( N ) = NUMROC( N, NB_A, MYCOL, CSRC_A, NPCOL ). * An upper bound for these quantities may be computed by: * LOCr( M ) <= ceil( ceil(M/MB_A)/NPROW )*MB_A * LOCc( N ) <= ceil( ceil(N/NB_A)/NPCOL )*NB_A * * * One-dimensional descriptors: * * One-dimensional descriptors are a new addition to ScaLAPACK since * version 1.0. They simplify and shorten the descriptor for 1D * arrays. * * Since ScaLAPACK supports two-dimensional arrays as the fundamental * object, we allow 1D arrays to be distributed either over the * first dimension of the array (as if the grid were P-by-1) or the * 2nd dimension (as if the grid were 1-by-P). This choice is * indicated by the descriptor type (501 or 502) * as described below. * * IMPORTANT NOTE: the actual BLACS grid represented by the * CTXT entry in the descriptor may be *either* P-by-1 or 1-by-P * irrespective of which one-dimensional descriptor type * (501 or 502) is input. * This routine will interpret the grid properly either way. * ScaLAPACK routines *do not support intercontext operations* so that * the grid passed to a single ScaLAPACK routine *must be the same* * for all array descriptors passed to that routine. * * NOTE: In all cases where 1D descriptors are used, 2D descriptors * may also be used, since a one-dimensional array is a special case * of a two-dimensional array with one dimension of size unity. * The two-dimensional array used in this case *must* be of the * proper orientation: * If the appropriate one-dimensional descriptor is DTYPEA=501 * (1 by P type), then the two dimensional descriptor must * have a CTXT value that refers to a 1 by P BLACS grid; * If the appropriate one-dimensional descriptor is DTYPEA=502 * (P by 1 type), then the two dimensional descriptor must * have a CTXT value that refers to a P by 1 BLACS grid. * * * Summary of allowed descriptors, types, and BLACS grids: * DTYPE 501 502 1 1 * BLACS grid 1xP or Px1 1xP or Px1 1xP Px1 * ----------------------------------------------------- * A OK NO OK NO * B NO OK NO OK * * Let A be a generic term for any 1D block cyclicly distributed array. * Such a global array has an associated description vector DESCA. * In the following comments, the character _ should be read as * "of the global array". * * NOTATION STORED IN EXPLANATION * --------------- ---------- ------------------------------------------ * DTYPE_A(global) DESCA( 1 ) The descriptor type. For 1D grids, * TYPE_A = 501: 1-by-P grid. * TYPE_A = 502: P-by-1 grid. * CTXT_A (global) DESCA( 2 ) The BLACS context handle, indicating * the BLACS process grid A is distribu- * ted over. The context itself is glo- * bal, but the handle (the integer * value) may vary. * N_A (global) DESCA( 3 ) The size of the array dimension being * distributed. * NB_A (global) DESCA( 4 ) The blocking factor used to distribute * the distributed dimension of the array. * SRC_A (global) DESCA( 5 ) The process row or column over which the * first row or column of the array * is distributed. * LLD_A (local) DESCA( 6 ) The leading dimension of the local array * storing the local blocks of the distri- * buted array A. Minimum value of LLD_A * depends on TYPE_A. * TYPE_A = 501: LLD_A >= * size of undistributed dimension, 1. * TYPE_A = 502: LLD_A >=NB_A, 1. * Reserved DESCA( 7 ) Reserved for future use. * * ===================================================================== * * Code Developer: Andrew J. Cleary, University of Tennessee. * Current address: Lawrence Livermore National Labs. * Last modified by: Peter Arbenz, Institute of Scientific Computing, * ETH, Zurich. * * ===================================================================== * * .. Parameters .. DOUBLE PRECISION ONE PARAMETER ( ONE = 1.0D+0 ) DOUBLE PRECISION ZERO PARAMETER ( ZERO = 0.0D+0 ) INTEGER INT_ONE PARAMETER ( INT_ONE = 1 ) INTEGER DESCMULT, BIGNUM PARAMETER ( DESCMULT = 100, BIGNUM = DESCMULT*DESCMULT ) INTEGER BLOCK_CYCLIC_2D, CSRC_, CTXT_, DLEN_, DTYPE_, $ LLD_, MB_, M_, NB_, N_, RSRC_ PARAMETER ( BLOCK_CYCLIC_2D = 1, DLEN_ = 9, DTYPE_ = 1, $ CTXT_ = 2, M_ = 3, N_ = 4, MB_ = 5, NB_ = 6, $ RSRC_ = 7, CSRC_ = 8, LLD_ = 9 ) * .. * .. Local Scalars .. INTEGER COMM_PROC, CSRC, FIRST_PROC, I, I1, I2, ICTXT, $ ICTXT_NEW, ICTXT_SAVE, IDUM3, JA_NEW, LAF_MIN, $ LEVEL_DIST, LLDA, MAX_BW, MBW2, MYCOL, MYROW, $ MY_NUM_COLS, NB, NEXT_TRI_SIZE_M, $ NEXT_TRI_SIZE_N, NP, NPCOL, NPROW, NP_SAVE, $ ODD_SIZE, OFST, PART_OFFSET, PART_SIZE, $ PREV_TRI_SIZE_M, PREV_TRI_SIZE_N, RETURN_CODE, $ STORE_N_A, UP_PREV_TRI_SIZE_M, $ UP_PREV_TRI_SIZE_N, WORK_SIZE_MIN, WORK_U * .. * .. Local Arrays .. INTEGER DESCA_1XP( 7 ), PARAM_CHECK( 9, 3 ) * .. * .. External Subroutines .. EXTERNAL BLACS_GRIDEXIT, BLACS_GRIDINFO, DAXPY, DDBTRF, $ DESC_CONVERT, DGEMM, DGEMV, DGERV2D, DGESD2D, $ DLACPY, DLATCPY, DTBTRS, DTRMM, DTRRV2D, $ DTRSD2D, GLOBCHK, IGAMX2D, IGEBR2D, IGEBS2D, $ PXERBLA, RESHAPE * .. * .. External Functions .. INTEGER NUMROC EXTERNAL NUMROC * .. * .. Intrinsic Functions .. INTRINSIC MAX, MIN, MOD * .. * .. Executable Statements .. * * Test the input parameters * INFO = 0 * * Convert descriptor into standard form for easy access to * parameters, check that grid is of right shape. * DESCA_1XP( 1 ) = 501 * CALL DESC_CONVERT( DESCA, DESCA_1XP, RETURN_CODE ) * IF( RETURN_CODE.NE.0 ) THEN INFO = -( 6*100+2 ) END IF * * Get values out of descriptor for use in code. * ICTXT = DESCA_1XP( 2 ) CSRC = DESCA_1XP( 5 ) NB = DESCA_1XP( 4 ) LLDA = DESCA_1XP( 6 ) STORE_N_A = DESCA_1XP( 3 ) * * Get grid parameters * * * Size of separator blocks is maximum of bandwidths * MAX_BW = MAX( BWL, BWU ) MBW2 = MAX_BW*MAX_BW * CALL BLACS_GRIDINFO( ICTXT, NPROW, NPCOL, MYROW, MYCOL ) NP = NPROW*NPCOL * * * IF( LWORK.LT.-1 ) THEN INFO = -10 ELSE IF( LWORK.EQ.-1 ) THEN IDUM3 = -1 ELSE IDUM3 = 1 END IF * IF( N.LT.0 ) THEN INFO = -1 END IF * IF( N+JA-1.GT.STORE_N_A ) THEN INFO = -( 6*100+6 ) END IF * IF( ( BWL.GT.N-1 ) .OR. ( BWL.LT.0 ) ) THEN INFO = -2 END IF * IF( ( BWU.GT.N-1 ) .OR. ( BWU.LT.0 ) ) THEN INFO = -3 END IF * IF( LLDA.LT.( BWL+BWU+1 ) ) THEN INFO = -( 6*100+6 ) END IF * IF( NB.LE.0 ) THEN INFO = -( 6*100+4 ) END IF * * Argument checking that is specific to Divide & Conquer routine * IF( NPROW.NE.1 ) THEN INFO = -( 6*100+2 ) END IF * IF( N.GT.NP*NB-MOD( JA-1, NB ) ) THEN INFO = -( 1 ) CALL PXERBLA( ICTXT, 'PDDBTRF, D&C alg.: only 1 block per proc' $ , -INFO ) RETURN END IF * IF( ( JA+N-1.GT.NB ) .AND. ( NB.LT.2*MAX( BWL, BWU ) ) ) THEN INFO = -( 6*100+4 ) CALL PXERBLA( ICTXT, 'PDDBTRF, D&C alg.: NB too small', -INFO ) RETURN END IF * * * Check auxiliary storage size * LAF_MIN = NB*( BWL+BWU ) + 6*MAX( BWL, BWU )*MAX( BWL, BWU ) * IF( LAF.LT.LAF_MIN ) THEN INFO = -8 * put minimum value of laf into AF( 1 ) AF( 1 ) = LAF_MIN CALL PXERBLA( ICTXT, 'PDDBTRF: auxiliary storage error ', $ -INFO ) RETURN END IF * * Check worksize * WORK_SIZE_MIN = MAX( BWL, BWU )*MAX( BWL, BWU ) * WORK( 1 ) = WORK_SIZE_MIN * IF( LWORK.LT.WORK_SIZE_MIN ) THEN IF( LWORK.NE.-1 ) THEN INFO = -10 CALL PXERBLA( ICTXT, 'PDDBTRF: worksize error ', -INFO ) END IF RETURN END IF * * Pack params and positions into arrays for global consistency check * PARAM_CHECK( 9, 1 ) = DESCA( 5 ) PARAM_CHECK( 8, 1 ) = DESCA( 4 ) PARAM_CHECK( 7, 1 ) = DESCA( 3 ) PARAM_CHECK( 6, 1 ) = DESCA( 1 ) PARAM_CHECK( 5, 1 ) = JA PARAM_CHECK( 4, 1 ) = BWU PARAM_CHECK( 3, 1 ) = BWL PARAM_CHECK( 2, 1 ) = N PARAM_CHECK( 1, 1 ) = IDUM3 * PARAM_CHECK( 9, 2 ) = 605 PARAM_CHECK( 8, 2 ) = 604 PARAM_CHECK( 7, 2 ) = 603 PARAM_CHECK( 6, 2 ) = 601 PARAM_CHECK( 5, 2 ) = 5 PARAM_CHECK( 4, 2 ) = 3 PARAM_CHECK( 3, 2 ) = 2 PARAM_CHECK( 2, 2 ) = 1 PARAM_CHECK( 1, 2 ) = 10 * * Want to find errors with MIN( ), so if no error, set it to a big * number. If there already is an error, multiply by the the * descriptor multiplier. * IF( INFO.GE.0 ) THEN INFO = BIGNUM ELSE IF( INFO.LT.-DESCMULT ) THEN INFO = -INFO ELSE INFO = -INFO*DESCMULT END IF * * Check consistency across processors * CALL GLOBCHK( ICTXT, 9, PARAM_CHECK, 9, PARAM_CHECK( 1, 3 ), $ INFO ) * * Prepare output: set info = 0 if no error, and divide by DESCMULT * if error is not in a descriptor entry. * IF( INFO.EQ.BIGNUM ) THEN INFO = 0 ELSE IF( MOD( INFO, DESCMULT ).EQ.0 ) THEN INFO = -INFO / DESCMULT ELSE INFO = -INFO END IF * IF( INFO.LT.0 ) THEN CALL PXERBLA( ICTXT, 'PDDBTRF', -INFO ) RETURN END IF * * Quick return if possible * IF( N.EQ.0 ) $ RETURN * * * Adjust addressing into matrix space to properly get into * the beginning part of the relevant data * PART_OFFSET = NB*( ( JA-1 ) / ( NPCOL*NB ) ) * IF( ( MYCOL-CSRC ).LT.( JA-PART_OFFSET-1 ) / NB ) THEN PART_OFFSET = PART_OFFSET + NB END IF * IF( MYCOL.LT.CSRC ) THEN PART_OFFSET = PART_OFFSET - NB END IF * * Form a new BLACS grid (the "standard form" grid) with only procs * holding part of the matrix, of size 1xNP where NP is adjusted, * starting at csrc=0, with JA modified to reflect dropped procs. * * First processor to hold part of the matrix: * FIRST_PROC = MOD( ( JA-1 ) / NB+CSRC, NPCOL ) * * Calculate new JA one while dropping off unused processors. * JA_NEW = MOD( JA-1, NB ) + 1 * * Save and compute new value of NP * NP_SAVE = NP NP = ( JA_NEW+N-2 ) / NB + 1 * * Call utility routine that forms "standard-form" grid * CALL RESHAPE( ICTXT, INT_ONE, ICTXT_NEW, INT_ONE, FIRST_PROC, $ INT_ONE, NP ) * * Use new context from standard grid as context. * ICTXT_SAVE = ICTXT ICTXT = ICTXT_NEW DESCA_1XP( 2 ) = ICTXT_NEW * * Get information about new grid. * CALL BLACS_GRIDINFO( ICTXT, NPROW, NPCOL, MYROW, MYCOL ) * * Drop out processors that do not have part of the matrix. * IF( MYROW.LT.0 ) THEN GO TO 140 END IF * * ******************************** * Values reused throughout routine * * User-input value of partition size * PART_SIZE = NB * * Number of columns in each processor * MY_NUM_COLS = NUMROC( N, PART_SIZE, MYCOL, 0, NPCOL ) * * Offset in columns to beginning of main partition in each proc * IF( MYCOL.EQ.0 ) THEN PART_OFFSET = PART_OFFSET + MOD( JA_NEW-1, PART_SIZE ) MY_NUM_COLS = MY_NUM_COLS - MOD( JA_NEW-1, PART_SIZE ) END IF * * Offset in elements * OFST = PART_OFFSET*LLDA * * Size of main (or odd) partition in each processor * ODD_SIZE = MY_NUM_COLS IF( MYCOL.LT.NP-1 ) THEN ODD_SIZE = ODD_SIZE - MAX_BW END IF * * Offset to workspace for Upper triangular factor * WORK_U = BWU*ODD_SIZE + 3*MBW2 * * * Zero out space for fillin * DO 10 I = 1, LAF_MIN AF( I ) = ZERO 10 CONTINUE * * Zero out space for work * DO 20 I = 1, WORK_SIZE_MIN WORK( I ) = ZERO 20 CONTINUE * * Begin main code * * ******************************************************************** * PHASE 1: Local computation phase. ******************************************************************** * * * Sizes of the extra triangles communicated bewtween processors * IF( MYCOL.GT.0 ) THEN PREV_TRI_SIZE_M = MIN( BWL, NUMROC( N, PART_SIZE, MYCOL, 0, $ NPCOL ) ) PREV_TRI_SIZE_N = MIN( BWL, NUMROC( N, PART_SIZE, MYCOL-1, 0, $ NPCOL ) ) END IF * IF( MYCOL.GT.0 ) THEN UP_PREV_TRI_SIZE_M = MIN( BWU, $ NUMROC( N, PART_SIZE, MYCOL, 0, NPCOL ) ) UP_PREV_TRI_SIZE_N = MIN( BWU, $ NUMROC( N, PART_SIZE, MYCOL-1, 0, $ NPCOL ) ) END IF * IF( MYCOL.LT.NPCOL-1 ) THEN NEXT_TRI_SIZE_M = MIN( BWL, NUMROC( N, PART_SIZE, MYCOL+1, 0, $ NPCOL ) ) NEXT_TRI_SIZE_N = MIN( BWL, NUMROC( N, PART_SIZE, MYCOL, 0, $ NPCOL ) ) END IF * IF( MYCOL.LT.NP-1 ) THEN * Transfer last triangle D_i of local matrix to next processor * which needs it to calculate fillin due to factorization of * its main (odd) block A_i. * Overlap the send with the factorization of A_i. * CALL DTRSD2D( ICTXT, 'U', 'N', NEXT_TRI_SIZE_M, $ NEXT_TRI_SIZE_N, A( OFST+( MY_NUM_COLS-BWL )* $ LLDA+( BWL+BWU+1 ) ), LLDA-1, 0, MYCOL+1 ) * END IF * * * Factor main partition A_i = L_i {U_i} in each processor * CALL DDBTRF( ODD_SIZE, ODD_SIZE, BWL, BWU, A( OFST+1 ), LLDA, $ INFO ) * IF( INFO.NE.0 ) THEN INFO = MYCOL + 1 GO TO 30 END IF * * IF( MYCOL.LT.NP-1 ) THEN * * Apply factorization to lower connection block BL_i * transpose the connection block in preparation. * Apply factorization to upper connection block BU_i * Move the connection block in preparation. * CALL DLATCPY( 'U', BWL, BWL, A( ( OFST+( BWL+BWU+1 )+ $ ( ODD_SIZE-BWL )*LLDA ) ), LLDA-1, $ AF( ODD_SIZE*BWU+2*MBW2+1+MAX_BW-BWL ), MAX_BW ) CALL DLACPY( 'L', BWU, BWU, A( ( OFST+1+ODD_SIZE*LLDA ) ), $ LLDA-1, AF( WORK_U+ODD_SIZE*BWL+2*MBW2+1+MAX_BW- $ BWU ), MAX_BW ) * * Perform the triangular system solve {L_i}{{BU'}_i} = {B_i} * CALL DTBTRS( 'L', 'N', 'U', BWU, BWL, BWU, $ A( OFST+BWU+1+( ODD_SIZE-BWU )*LLDA ), LLDA, $ AF( WORK_U+ODD_SIZE*BWL+2*MBW2+1+MAX_BW-BWU ), $ MAX_BW, INFO ) * * Perform the triangular solve {U_i}^T{BL'}_i^T = {BL_i}^T * CALL DTBTRS( 'U', 'T', 'N', BWL, BWU, BWL, $ A( OFST+1+( ODD_SIZE-BWL )*LLDA ), LLDA, $ AF( ODD_SIZE*BWU+2*MBW2+1+MAX_BW-BWL ), MAX_BW, $ INFO ) * * transpose resulting block to its location * in main storage. * CALL DLATCPY( 'L', BWL, BWL, AF( ODD_SIZE*BWU+2*MBW2+1+MAX_BW- $ BWL ), MAX_BW, A( ( OFST+( BWL+BWU+1 )+ $ ( ODD_SIZE-BWL )*LLDA ) ), LLDA-1 ) * * Move the resulting block back to its location in main storage. * CALL DLACPY( 'L', BWU, BWU, AF( WORK_U+ODD_SIZE*BWL+2*MBW2+1+ $ MAX_BW-BWU ), MAX_BW, A( ( OFST+1+ODD_SIZE* $ LLDA ) ), LLDA-1 ) * * * Compute contribution to diagonal block(s) of reduced system. * {C'}_i = {C_i}-{{BL'}_i}{{BU'}_i} * * The following method uses more flops than necessary but * does not necessitate the writing of a new BLAS routine. * * CALL DGEMM( 'T', 'N', MAX_BW, MAX_BW, MAX_BW, -ONE, $ AF( ODD_SIZE*BWU+2*MBW2+1 ), MAX_BW, $ AF( WORK_U+ODD_SIZE*BWL+2*MBW2+1 ), MAX_BW, ONE, $ A( OFST+ODD_SIZE*LLDA+1+BWU ), LLDA-1 ) * END IF * End of "if ( MYCOL .lt. NP-1 )..." loop * * 30 CONTINUE * If the processor could not locally factor, it jumps here. * IF( MYCOL.NE.0 ) THEN * Discard temporary matrix stored beginning in * AF( (odd_size+2*bwl, bwu)*bwl, bwu+1 ) and use for * off_diagonal block of reduced system. * * Receive previously transmitted matrix section, which forms * the right-hand-side for the triangular solve that calculates * the "spike" fillin. * * CALL DTRRV2D( ICTXT, 'U', 'N', PREV_TRI_SIZE_M, $ PREV_TRI_SIZE_N, AF( WORK_U+1 ), BWL, 0, $ MYCOL-1 ) * IF( INFO.EQ.0 ) THEN * * Calculate the "spike" fillin, ${L_i} {{GU}_i} = {DL_i}$ . * * Transpose transmitted triangular matrix $DL_i$ * DO 50 I1 = 1, BWL DO 40 I2 = I1 + 1, BWL AF( WORK_U+I2+( I1-1 )*BWL ) = AF( WORK_U+I1+( I2-1 )* $ BWL ) AF( WORK_U+I1+( I2-1 )*BWL ) = ZERO 40 CONTINUE 50 CONTINUE * DO 60 I1 = 2, ODD_SIZE I2 = MIN( I1-1, BWL ) CALL DGEMV( 'N', BWL, I2, -ONE, $ AF( WORK_U+1+( I1-1-I2 )*BWL ), BWL, $ A( OFST+BWU+1+I2+( I1-1-I2 )*LLDA ), LLDA-1, $ ONE, AF( WORK_U+1+( I1-1 )*BWL ), 1 ) 60 CONTINUE * * * Calculate the "spike" fillin, ${U_i}^T {{GL}_i}^T = {DU_i}^T$ * * * Copy D block into AF storage for solve. * CALL DLACPY( 'L', UP_PREV_TRI_SIZE_N, UP_PREV_TRI_SIZE_M, $ A( OFST+1 ), LLDA-1, AF( 1 ), BWU ) * DO 80 I1 = 1, ODD_SIZE I2 = MIN( BWU, I1-1 ) CALL DGEMV( 'N', BWU, I2, -ONE, AF( ( I1-1-I2 )*BWU+1 ), $ BWU, A( OFST+BWU+1-I2+( I1-1 )*LLDA ), 1, $ ONE, AF( ( I1-1 )*BWU+1 ), 1 ) * DO 70 I = 1, BWU AF( ( I1-1 )*BWU+I ) = AF( ( I1-1 )*BWU+I ) / $ A( ( I1-1 )*LLDA+BWU+1 ) 70 CONTINUE 80 CONTINUE * * Calculate the update block for previous proc, E_i = GL_i{GU_i} * * * Zero out space in case result is smaller than storage block * DO 90 I = 1, MBW2 AF( ODD_SIZE*BWU+2*MBW2+I ) = ZERO 90 CONTINUE * CALL DGEMM( 'N', 'T', BWU, BWL, ODD_SIZE, -ONE, AF( 1 ), $ BWU, AF( WORK_U+1 ), BWL, ZERO, $ AF( 1+MAX( 0, BWL-BWU )+ODD_SIZE*BWU+( 2*MAX_BW+ $ MAX( 0, BWU-BWL ) )*MAX_BW ), MAX_BW ) * * * Initiate send of E_i to previous processor to overlap * with next computation. * CALL DGESD2D( ICTXT, MAX_BW, MAX_BW, $ AF( ODD_SIZE*BWU+2*MBW2+1 ), MAX_BW, 0, $ MYCOL-1 ) * * IF( MYCOL.LT.NP-1 ) THEN * * Calculate off-diagonal block(s) of reduced system. * Note: for ease of use in solution of reduced system, store * L's off-diagonal block in transpose form. * * Copy matrix HU_i (the last bwl rows of GU_i) to AFL storage * as per requirements of BLAS routine DTRMM. * Since we have GU_i stored, * transpose HU_i to HU_i^T. * CALL DLACPY( 'N', BWL, BWL, $ AF( WORK_U+( ODD_SIZE-BWL )*BWL+1 ), BWL, $ AF( ( ODD_SIZE )*BWU+1+( MAX_BW-BWL ) ), $ MAX_BW ) * CALL DTRMM( 'R', 'U', 'T', 'N', BWL, BWL, -ONE, $ A( ( OFST+( BWL+BWU+1 )+( ODD_SIZE-BWL )* $ LLDA ) ), LLDA-1, AF( ( ODD_SIZE )*BWU+1+ $ ( MAX_BW-BWL ) ), MAX_BW ) * * * Copy matrix HL_i (the last bwu rows of GL_i^T) to AFU store * as per requirements of BLAS routine DTRMM. * Since we have GL_i^T stored, * transpose HL_i^T to HL_i. * CALL DLACPY( 'N', BWU, BWU, AF( ( ODD_SIZE-BWU )*BWU+1 ), $ BWU, AF( WORK_U+( ODD_SIZE )*BWL+1+MAX_BW- $ BWU ), MAX_BW ) * CALL DTRMM( 'R', 'L', 'N', 'N', BWU, BWU, -ONE, $ A( ( OFST+1+ODD_SIZE*LLDA ) ), LLDA-1, $ AF( WORK_U+( ODD_SIZE )*BWL+1+MAX_BW-BWU ), $ MAX_BW ) * END IF * END IF * End of "if ( MYCOL .ne. 0 )..." * END IF * End of "if (info.eq.0) then" * * * Check to make sure no processors have found errors * CALL IGAMX2D( ICTXT, 'A', ' ', 1, 1, INFO, 1, INFO, INFO, -1, 0, $ 0 ) * IF( MYCOL.EQ.0 ) THEN CALL IGEBS2D( ICTXT, 'A', ' ', 1, 1, INFO, 1 ) ELSE CALL IGEBR2D( ICTXT, 'A', ' ', 1, 1, INFO, 1, 0, 0 ) END IF * IF( INFO.NE.0 ) THEN GO TO 130 END IF * No errors found, continue * * ******************************************************************** * PHASE 2: Formation and factorization of Reduced System. ******************************************************************** * * Gather up local sections of reduced system * * * The last processor does not participate in the factorization of * the reduced system, having sent its E_i already. IF( MYCOL.EQ.NPCOL-1 ) THEN GO TO 120 END IF * * Initiate send of off-diag block(s) to overlap with next part. * Off-diagonal block needed on neighboring processor to start * algorithm. * IF( ( MOD( MYCOL+1, 2 ).EQ.0 ) .AND. ( MYCOL.GT.0 ) ) THEN * CALL DGESD2D( ICTXT, MAX_BW, MAX_BW, AF( ODD_SIZE*BWU+1 ), $ MAX_BW, 0, MYCOL-1 ) * CALL DGESD2D( ICTXT, MAX_BW, MAX_BW, $ AF( WORK_U+ODD_SIZE*BWL+1 ), MAX_BW, 0, MYCOL-1 ) * END IF * * Copy last diagonal block into AF storage for subsequent * operations. * CALL DLACPY( 'N', MAX_BW, MAX_BW, A( OFST+ODD_SIZE*LLDA+BWU+1 ), $ LLDA-1, AF( ODD_SIZE*BWU+MBW2+1 ), MAX_BW ) * * Receive cont. to diagonal block that is stored on this proc. * IF( MYCOL.LT.NPCOL-1 ) THEN * CALL DGERV2D( ICTXT, MAX_BW, MAX_BW, $ AF( ODD_SIZE*BWU+2*MBW2+1 ), MAX_BW, 0, MYCOL+1 ) * * Add contribution to diagonal block * CALL DAXPY( MBW2, ONE, AF( ODD_SIZE*BWU+2*MBW2+1 ), 1, $ AF( ODD_SIZE*BWU+MBW2+1 ), 1 ) * END IF * * * ************************************* * Modification Loop * * The distance for sending and receiving for each level starts * at 1 for the first level. LEVEL_DIST = 1 * * Do until this proc is needed to modify other procs' equations * 100 CONTINUE IF( MOD( ( MYCOL+1 ) / LEVEL_DIST, 2 ).NE.0 ) $ GO TO 110 * * Receive and add contribution to diagonal block from the left * IF( MYCOL-LEVEL_DIST.GE.0 ) THEN CALL DGERV2D( ICTXT, MAX_BW, MAX_BW, WORK( 1 ), MAX_BW, 0, $ MYCOL-LEVEL_DIST ) * CALL DAXPY( MBW2, ONE, WORK( 1 ), 1, AF( ODD_SIZE*BWU+MBW2+1 ), $ 1 ) * END IF * * Receive and add contribution to diagonal block from the right * IF( MYCOL+LEVEL_DIST.LT.NPCOL-1 ) THEN CALL DGERV2D( ICTXT, MAX_BW, MAX_BW, WORK( 1 ), MAX_BW, 0, $ MYCOL+LEVEL_DIST ) * CALL DAXPY( MBW2, ONE, WORK( 1 ), 1, AF( ODD_SIZE*BWU+MBW2+1 ), $ 1 ) * END IF * LEVEL_DIST = LEVEL_DIST*2 * GO TO 100 110 CONTINUE * [End of GOTO Loop] * * * ********************************* * Calculate and use this proc's blocks to modify other procs'... * * Factor diagonal block * CALL DDBTRF( MAX_BW, MAX_BW, MIN( MAX_BW-1, BWL ), $ MIN( MAX_BW-1, BWU ), AF( ODD_SIZE*BWU+MBW2+1- $ ( MIN( MAX_BW-1, BWU ) ) ), MAX_BW+1, INFO ) * IF( INFO.NE.0 ) THEN INFO = NPCOL + MYCOL END IF * * **************************************************************** * Receive offdiagonal block from processor to right. * If this is the first group of processors, the receive comes * from a different processor than otherwise. * IF( LEVEL_DIST.EQ.1 ) THEN COMM_PROC = MYCOL + 1 * * Move block into place that it will be expected to be for * calcs. * CALL DLACPY( 'N', MAX_BW, MAX_BW, AF( ODD_SIZE*BWU+1 ), MAX_BW, $ AF( WORK_U+ODD_SIZE*BWL+2*MBW2+1 ), MAX_BW ) * CALL DLACPY( 'N', MAX_BW, MAX_BW, AF( WORK_U+ODD_SIZE*BWL+1 ), $ MAX_BW, AF( ODD_SIZE*BWU+2*MBW2+1 ), MAX_BW ) * ELSE COMM_PROC = MYCOL + LEVEL_DIST / 2 END IF * IF( MYCOL / LEVEL_DIST.LE.( NPCOL-1 ) / LEVEL_DIST-2 ) THEN * CALL DGERV2D( ICTXT, MAX_BW, MAX_BW, AF( ODD_SIZE*BWU+1 ), $ MAX_BW, 0, COMM_PROC ) * CALL DGERV2D( ICTXT, MAX_BW, MAX_BW, $ AF( WORK_U+ODD_SIZE*BWL+1 ), MAX_BW, 0, $ COMM_PROC ) * IF( INFO.EQ.0 ) THEN * * * Modify upper off_diagonal block with diagonal block * * CALL DTBTRS( 'L', 'N', 'U', BWU, MIN( BWL, BWU-1 ), BWU, $ AF( ODD_SIZE*BWU+MBW2+1+( MAX_BW+1 )*( MAX_BW- $ BWU ) ), MAX_BW+1, AF( WORK_U+ODD_SIZE*BWL+1+ $ MAX_BW-BWU ), MAX_BW, INFO ) * * Modify lower off_diagonal block with diagonal block * * CALL DTBTRS( 'U', 'T', 'N', BWL, MIN( BWU, BWL-1 ), BWL, $ AF( ODD_SIZE*BWU+MBW2+1-MIN( BWU, $ BWL-1 )+( MAX_BW+1 )*( MAX_BW-BWL ) ), $ MAX_BW+1, AF( ODD_SIZE*BWU+1+MAX_BW-BWL ), $ MAX_BW, INFO ) * END IF * End of "if ( info.eq.0 ) then" * * Calculate contribution from this block to next diagonal block * CALL DGEMM( 'T', 'N', MAX_BW, MAX_BW, MAX_BW, -ONE, $ AF( ( ODD_SIZE )*BWU+1 ), MAX_BW, $ AF( WORK_U+( ODD_SIZE )*BWL+1 ), MAX_BW, ZERO, $ WORK( 1 ), MAX_BW ) * * Send contribution to diagonal block's owning processor. * CALL DGESD2D( ICTXT, MAX_BW, MAX_BW, WORK( 1 ), MAX_BW, 0, $ MYCOL+LEVEL_DIST ) * END IF * End of "if( mycol/level_dist .le. (npcol-1)/level_dist-2 )..." * * * **************************************************************** * Receive off_diagonal block from left and use to finish with this * processor. * IF( ( MYCOL / LEVEL_DIST.GT.0 ) .AND. $ ( MYCOL / LEVEL_DIST.LE.( NPCOL-1 ) / LEVEL_DIST-1 ) ) THEN * IF( LEVEL_DIST.GT.1 ) THEN * * Receive offdiagonal block(s) from proc level_dist/2 to the * left * CALL DGERV2D( ICTXT, MAX_BW, MAX_BW, $ AF( WORK_U+ODD_SIZE*BWL+2*MBW2+1 ), MAX_BW, 0, $ MYCOL-LEVEL_DIST / 2 ) * * Receive offdiagonal block(s) from proc level_dist/2 to the * left * CALL DGERV2D( ICTXT, MAX_BW, MAX_BW, $ AF( ODD_SIZE*BWU+2*MBW2+1 ), MAX_BW, 0, $ MYCOL-LEVEL_DIST / 2 ) * END IF * * IF( INFO.EQ.0 ) THEN * * Use diagonal block(s) to modify this offdiagonal block * * * Since DTBTRS has no "left-right" option, we must transpose * CALL DLATCPY( 'N', MAX_BW, MAX_BW, $ AF( WORK_U+ODD_SIZE*BWL+2*MBW2+1 ), MAX_BW, $ WORK( 1 ), MAX_BW ) * CALL DTBTRS( 'L', 'N', 'U', MAX_BW, MIN( BWL, MAX_BW-1 ), $ BWL, AF( ODD_SIZE*BWU+MBW2+1 ), MAX_BW+1, $ WORK( 1+MAX_BW*( MAX_BW-BWL ) ), MAX_BW, INFO ) * * Transpose back * CALL DLATCPY( 'N', MAX_BW, MAX_BW, WORK( 1 ), MAX_BW, $ AF( WORK_U+ODD_SIZE*BWL+2*MBW2+1 ), MAX_BW ) * * * * Since DTBTRS has no "left-right" option, we must transpose * CALL DLATCPY( 'N', MAX_BW, MAX_BW, $ AF( ODD_SIZE*BWU+2*MBW2+1 ), MAX_BW, $ WORK( 1 ), MAX_BW ) * CALL DTBTRS( 'U', 'T', 'N', MAX_BW, MIN( BWU, MAX_BW-1 ), $ BWU, AF( ODD_SIZE*BWU+MBW2+1-MIN( BWU, $ MAX_BW-1 ) ), MAX_BW+1, $ WORK( 1+MAX_BW*( MAX_BW-BWU ) ), MAX_BW, INFO ) * * Transpose back * CALL DLATCPY( 'N', MAX_BW, MAX_BW, WORK( 1 ), MAX_BW, $ AF( ODD_SIZE*BWU+2*MBW2+1 ), MAX_BW ) * * END IF * End of "if( info.eq.0 ) then" * * Use offdiag block(s) to calculate modification to diag block * of processor to the left * CALL DGEMM( 'N', 'T', MAX_BW, MAX_BW, MAX_BW, -ONE, $ AF( ( ODD_SIZE )*BWU+2*MBW2+1 ), MAX_BW, $ AF( WORK_U+( ODD_SIZE )*BWL+2*MBW2+1 ), MAX_BW, $ ZERO, WORK( 1 ), MAX_BW ) * * Send contribution to diagonal block's owning processor. * CALL DGESD2D( ICTXT, MAX_BW, MAX_BW, WORK( 1 ), MAX_BW, 0, $ MYCOL-LEVEL_DIST ) * * ******************************************************* * IF( MYCOL / LEVEL_DIST.LE.( NPCOL-1 ) / LEVEL_DIST-2 ) THEN * * Decide which processor offdiagonal block(s) goes to * IF( ( MOD( MYCOL / ( 2*LEVEL_DIST ), 2 ) ).EQ.0 ) THEN COMM_PROC = MYCOL + LEVEL_DIST ELSE COMM_PROC = MYCOL - LEVEL_DIST END IF * * Use offdiagonal blocks to calculate offdiag * block to send to neighboring processor. Depending * on circumstances, may need to transpose the matrix. * CALL DGEMM( 'N', 'N', MAX_BW, MAX_BW, MAX_BW, -ONE, $ AF( WORK_U+ODD_SIZE*BWL+2*MBW2+1 ), MAX_BW, $ AF( ODD_SIZE*BWU+1 ), MAX_BW, ZERO, WORK( 1 ), $ MAX_BW ) * * Send contribution to offdiagonal block's owning processor. * CALL DGESD2D( ICTXT, MAX_BW, MAX_BW, WORK( 1 ), MAX_BW, 0, $ COMM_PROC ) * CALL DGEMM( 'N', 'N', MAX_BW, MAX_BW, MAX_BW, -ONE, $ AF( ODD_SIZE*BWU+2*MBW2+1 ), MAX_BW, $ AF( WORK_U+ODD_SIZE*BWL+1 ), MAX_BW, ZERO, $ WORK( 1 ), MAX_BW ) * * Send contribution to offdiagonal block's owning processor. * CALL DGESD2D( ICTXT, MAX_BW, MAX_BW, WORK( 1 ), MAX_BW, 0, $ COMM_PROC ) * END IF * END IF * End of "if( mycol/level_dist.le. (npcol-1)/level_dist -1 )..." * 120 CONTINUE * * 130 CONTINUE * * * Free BLACS space used to hold standard-form grid. * IF( ICTXT_SAVE.NE.ICTXT_NEW ) THEN CALL BLACS_GRIDEXIT( ICTXT_NEW ) END IF * 140 CONTINUE * * Restore saved input parameters * ICTXT = ICTXT_SAVE NP = NP_SAVE * * Output minimum worksize * WORK( 1 ) = WORK_SIZE_MIN * * Make INFO consistent across processors * CALL IGAMX2D( ICTXT, 'A', ' ', 1, 1, INFO, 1, INFO, INFO, -1, 0, $ 0 ) * IF( MYCOL.EQ.0 ) THEN CALL IGEBS2D( ICTXT, 'A', ' ', 1, 1, INFO, 1 ) ELSE CALL IGEBR2D( ICTXT, 'A', ' ', 1, 1, INFO, 1, 0, 0 ) END IF * * RETURN * * End of PDDBTRF * END

Generated by Doxygen 1.6.0 Back to index