double magma_get_norm_sy(SEXP obj, const char *typstr) { #ifdef HIPLAR_WITH_MAGMA char typnm[] = {'\0', '\0'}; int *dims = INTEGER(GET_SLOT(obj, Matrix_DimSym)); double *work = (double *) NULL; int N = dims[0]; int lda = N; double *A = REAL(GET_SLOT(obj, Matrix_xSym)); typnm[0] = La_norm_type(typstr); const char *c = uplo_P(obj); //Magmablas dlansy only does I & M norms if(GPUFlag == 1 && (*typnm == 'I' || *typnm == 'M')) { #ifdef HIPLAR_DBG R_ShowMessage("DBG: Performing norm using magmablas_dlansy"); #endif double *dwork, *d_A, maxnorm; cublasAlloc(N, sizeof(double), (void**)&dwork); cublasAlloc(lda * N, sizeof(double), (void**)&d_A); cublasSetVector(N * lda, sizeof(double), A, 1, d_A, 1); maxnorm = magmablas_dlansy(typnm[0], *c ,N, d_A, lda, dwork); cublasFree(d_A); cublasFree(dwork); return maxnorm; } else { if (*typnm == 'I' || *typnm == 'O') { work = (double *) R_alloc(dims[0], sizeof(double)); } return F77_CALL(dlansy)(typnm, uplo_P(obj), dims, A, dims, work); } #endif return 0.0; }
/* //////////////////////////////////////////////////////////////////////////// -- Testing dlansy */ int main( int argc, char** argv) { TESTING_INIT(); real_Double_t gbytes, gpu_perf, gpu_time, cpu_perf, cpu_time; double *h_A; double *h_work; double *d_A; double *d_work; magma_int_t N, n2, lda, ldda; magma_int_t idist = 3; // normal distribution (otherwise max norm is always ~ 1) magma_int_t ISEED[4] = {0,0,0,1}; double error, norm_magma, norm_lapack; magma_int_t status = 0; bool mkl_warning = false; magma_opts opts; parse_opts( argc, argv, &opts ); double tol = opts.tolerance * lapackf77_dlamch("E"); magma_uplo_t uplo[] = { MagmaLower, MagmaUpper }; magma_norm_t norm[] = { MagmaInfNorm, MagmaOneNorm, MagmaMaxNorm }; // Double-Complex inf-norm not supported on Tesla (CUDA arch 1.x) #if defined(PRECISION_z) magma_int_t arch = magma_getdevice_arch(); if ( arch < 200 ) { printf("!!!! NOTE: Double-Complex %s and %s norm are not supported\n" "!!!! on CUDA architecture %d; requires arch >= 200.\n" "!!!! It should report \"parameter number 1 had an illegal value\" below.\n\n", MagmaInfNormStr, MagmaOneNormStr, (int) arch ); for( int inorm = 0; inorm < 2; ++inorm ) { for( int iuplo = 0; iuplo < 2; ++iuplo ) { printf( "Testing that magmablas_dlansy( %s, %s, ... ) returns -1 error...\n", lapack_norm_const( norm[inorm] ), lapack_uplo_const( uplo[iuplo] )); norm_magma = magmablas_dlansy( norm[inorm], uplo[iuplo], 1, NULL, 1, NULL ); if ( norm_magma != -1 ) { printf( "expected magmablas_dlansy to return -1 error, but got %f\n", norm_magma ); status = 1; } } } printf( "...return values %s\n\n", (status == 0 ? "ok" : "failed") ); } #endif printf(" N norm uplo CPU GByte/s (ms) GPU GByte/s (ms) error \n"); printf("=======================================================================\n"); for( int itest = 0; itest < opts.ntest; ++itest ) { for( int inorm = 0; inorm < 3; ++inorm ) { for( int iuplo = 0; iuplo < 2; ++iuplo ) { for( int iter = 0; iter < opts.niter; ++iter ) { N = opts.nsize[itest]; lda = N; n2 = lda*N; ldda = roundup( N, opts.pad ); // read upper or lower triangle gbytes = 0.5*(N+1)*N*sizeof(double) / 1e9; TESTING_MALLOC_CPU( h_A, double, n2 ); TESTING_MALLOC_CPU( h_work, double, N ); TESTING_MALLOC_DEV( d_A, double, ldda*N ); TESTING_MALLOC_DEV( d_work, double, N ); /* Initialize the matrix */ lapackf77_dlarnv( &idist, ISEED, &n2, h_A ); //magma_dmake_symmetric( N, h_A, lda ); // make diagonal real -- according to docs, should NOT be necesary //for( int i=0; i < N; ++i ) { // h_A[i + i*lda] = MAGMA_D_MAKE( MAGMA_D_REAL( h_A[i + i*lda] ), 0 ); //} magma_dsetmatrix( N, N, h_A, lda, d_A, ldda ); /* ==================================================================== Performs operation using MAGMA =================================================================== */ gpu_time = magma_wtime(); norm_magma = magmablas_dlansy( norm[inorm], uplo[iuplo], N, d_A, ldda, d_work ); gpu_time = magma_wtime() - gpu_time; gpu_perf = gbytes / gpu_time; if (norm_magma == -1) { printf( "%5d %4c skipped because it isn't supported on this GPU\n", (int) N, lapacke_norm_const( norm[inorm] )); continue; } if (norm_magma < 0) printf("magmablas_dlansy returned error %f: %s.\n", norm_magma, magma_strerror( (int) norm_magma )); /* ===================================================================== Performs operation using LAPACK =================================================================== */ cpu_time = magma_wtime(); norm_lapack = lapackf77_dlansy( lapack_norm_const( norm[inorm] ), lapack_uplo_const( uplo[iuplo] ), &N, h_A, &lda, h_work ); cpu_time = magma_wtime() - cpu_time; cpu_perf = gbytes / cpu_time; if (norm_lapack < 0) printf("lapackf77_dlansy returned error %f: %s.\n", norm_lapack, magma_strerror( (int) norm_lapack )); /* ===================================================================== Check the result compared to LAPACK Note: MKL (11.1.0) has bug for uplo=Lower with multiple threads. Try with $MKL_NUM_THREADS = 1. =================================================================== */ error = fabs( norm_magma - norm_lapack ) / norm_lapack; double tol2 = tol; if ( norm[inorm] == MagmaMaxNorm ) { // max-norm depends on only one element, so for Real precisions, // MAGMA and LAPACK should exactly agree (tol2 = 0), // while Complex precisions incur roundoff in fabs. #if defined(PRECISION_s) || defined(PRECISION_d) tol2 = 0; #endif } if ( error > tol2 && norm[inorm] == MagmaInfNorm && uplo[iuplo] == MagmaLower ) { mkl_warning = true; } printf("%5d %4c %4c %7.2f (%7.2f) %7.2f (%7.2f) %#9.3g %s\n", (int) N, lapacke_norm_const( norm[inorm] ), lapacke_uplo_const( uplo[iuplo] ), cpu_perf, cpu_time*1000., gpu_perf, gpu_time*1000., error, (error <= tol2 ? "ok" : "failed") ); status += ! (error <= tol2); TESTING_FREE_CPU( h_A ); TESTING_FREE_CPU( h_work ); TESTING_FREE_DEV( d_A ); TESTING_FREE_DEV( d_work ); fflush( stdout ); } if ( opts.niter > 1 ) { printf( "\n" ); } } } // end iuplo, inorm, iter printf( "\n" ); } if ( mkl_warning ) { printf("* Some versions of MKL (e.g., 11.1.0) have a bug in dlansy with uplo=L\n" " and multiple threads. Try again with MKL_NUM_THREADS=1.\n" ); } TESTING_FINALIZE(); return status; }
extern "C" magma_int_t magma_dsyevd_gpu(char jobz, char uplo, magma_int_t n, double *da, magma_int_t ldda, double *w, double *wa, magma_int_t ldwa, double *work, magma_int_t lwork, magma_int_t *iwork, magma_int_t liwork, magma_int_t *info) { /* -- MAGMA (version 1.4.1) -- Univ. of Tennessee, Knoxville Univ. of California, Berkeley Univ. of Colorado, Denver December 2013 Purpose ======= DSYEVD_GPU computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix A. If eigenvectors are desired, it uses a divide and conquer algorithm. The divide and conquer algorithm makes very mild assumptions about floating point arithmetic. It will work on machines with a guard digit in add/subtract, or on those binary machines without guard digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or Cray-2. It could conceivably fail on hexadecimal or decimal machines without guard digits, but we know of none. Arguments ========= JOBZ (input) CHARACTER*1 = 'N': Compute eigenvalues only; = 'V': Compute eigenvalues and eigenvectors. UPLO (input) CHARACTER*1 = 'U': Upper triangle of A is stored; = 'L': Lower triangle of A is stored. N (input) INTEGER The order of the matrix A. N >= 0. DA (device input/output) DOUBLE_PRECISION array on the GPU, dimension (LDDA, N). On entry, the symmetric matrix A. If UPLO = 'U', the leading N-by-N upper triangular part of A contains the upper triangular part of the matrix A. If UPLO = 'L', the leading N-by-N lower triangular part of A contains the lower triangular part of the matrix A. On exit, if JOBZ = 'V', then if INFO = 0, A contains the orthonormal eigenvectors of the matrix A. If JOBZ = 'N', then on exit the lower triangle (if UPLO='L') or the upper triangle (if UPLO='U') of A, including the diagonal, is destroyed. LDDA (input) INTEGER The leading dimension of the array DA. LDDA >= max(1,N). W (output) DOUBLE PRECISION array, dimension (N) If INFO = 0, the eigenvalues in ascending order. WA (workspace) DOUBLE PRECISION array, dimension (LDWA, N) LDWA (input) INTEGER The leading dimension of the array WA. LDWA >= max(1,N). WORK (workspace/output) DOUBLE_PRECISION array, dimension (MAX(1,LWORK)) On exit, if INFO = 0, WORK[0] returns the optimal LWORK. LWORK (input) INTEGER The length of the array WORK. If N <= 1, LWORK >= 1. If JOBZ = 'N' and N > 1, LWORK >= 2*N + N*NB. If JOBZ = 'V' and N > 1, LWORK >= max( 2*N + N*NB, 1 + 6*N + 2*N**2 ). NB can be obtained through magma_get_dsytrd_nb(N). If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal sizes of the WORK and IWORK arrays, returns these values as the first entries of the WORK and IWORK arrays, and no error message related to LWORK or LIWORK is issued by XERBLA. IWORK (workspace/output) INTEGER array, dimension (MAX(1,LIWORK)) On exit, if INFO = 0, IWORK[0] returns the optimal LIWORK. LIWORK (input) INTEGER The dimension of the array IWORK. If N <= 1, LIWORK >= 1. If JOBZ = 'N' and N > 1, LIWORK >= 1. If JOBZ = 'V' and N > 1, LIWORK >= 3 + 5*N. If LIWORK = -1, then a workspace query is assumed; the routine only calculates the optimal sizes of the WORK and IWORK arrays, returns these values as the first entries of the WORK and IWORK arrays, and no error message related to LWORK or LIWORK is issued by XERBLA. INFO (output) INTEGER = 0: successful exit < 0: if INFO = -i, the i-th argument had an illegal value > 0: if INFO = i and JOBZ = 'N', then the algorithm failed to converge; i off-diagonal elements of an intermediate tridiagonal form did not converge to zero; if INFO = i and JOBZ = 'V', then the algorithm failed to compute an eigenvalue while working on the submatrix lying in rows and columns INFO/(N+1) through mod(INFO,N+1). Further Details =============== Based on contributions by Jeff Rutter, Computer Science Division, University of California at Berkeley, USA Modified description of INFO. Sven, 16 Feb 05. ===================================================================== */ char uplo_[2] = {uplo, 0}; char jobz_[2] = {jobz, 0}; magma_int_t ione = 1; double d__1; double eps; magma_int_t inde; double anrm; double rmin, rmax; double sigma; magma_int_t iinfo, lwmin; magma_int_t lower; magma_int_t wantz; magma_int_t indwk2, llwrk2; magma_int_t iscale; double safmin; double bignum; magma_int_t indtau; magma_int_t indwrk, liwmin; magma_int_t llwork; double smlnum; magma_int_t lquery; double *dwork; magma_int_t lddc = ldda; wantz = lapackf77_lsame(jobz_, MagmaVecStr); lower = lapackf77_lsame(uplo_, MagmaLowerStr); lquery = lwork == -1 || liwork == -1; *info = 0; if (! (wantz || lapackf77_lsame(jobz_, MagmaNoVecStr))) { *info = -1; } else if (! (lower || lapackf77_lsame(uplo_, MagmaUpperStr))) { *info = -2; } else if (n < 0) { *info = -3; } else if (ldda < max(1,n)) { *info = -5; } magma_int_t nb = magma_get_dsytrd_nb( n ); if ( n <= 1 ) { lwmin = 1; liwmin = 1; } else if ( wantz ) { lwmin = max( 2*n + n*nb, 1 + 6*n + 2*n*n ); liwmin = 3 + 5*n; } else { lwmin = 2*n + n*nb; liwmin = 1; } // multiply by 1+eps to ensure length gets rounded up, // if it cannot be exactly represented in floating point. work[0] = lwmin * (1. + lapackf77_dlamch("Epsilon")); iwork[0] = liwmin; if ((lwork < lwmin) && !lquery) { *info = -10; } else if ((liwork < liwmin) && ! lquery) { *info = -12; } if (*info != 0) { magma_xerbla( __func__, -(*info) ); return *info; } else if (lquery) { return *info; } /* Check if matrix is very small then just call LAPACK on CPU, no need for GPU */ if (n <= 128) { #ifdef ENABLE_DEBUG printf("--------------------------------------------------------------\n"); printf(" warning matrix too small N=%d NB=%d, calling lapack on CPU \n", (int) n, (int) nb); printf("--------------------------------------------------------------\n"); #endif char jobz_[2] = {jobz, 0}, uplo_[2] = {uplo, 0}; double *a = (double *) malloc( n * n * sizeof(double) ); magma_dgetmatrix(n, n, da, ldda, a, n); lapackf77_dsyevd(jobz_, uplo_, &n, a, &n, w, work, &lwork, iwork, &liwork, info); magma_dsetmatrix( n, n, a, n, da, ldda); free(a); return *info; } magma_queue_t stream; magma_queue_create( &stream ); // n*lddc for dsytrd2_gpu // n for dlansy magma_int_t ldwork = n*lddc; if ( wantz ) { // need 3n^2/2 for dstedx ldwork = max( ldwork, 3*n*(n/2 + 1)); } if (MAGMA_SUCCESS != magma_dmalloc( &dwork, ldwork )) { *info = MAGMA_ERR_DEVICE_ALLOC; return *info; } /* Get machine constants. */ safmin = lapackf77_dlamch("Safe minimum"); eps = lapackf77_dlamch("Precision"); smlnum = safmin / eps; bignum = 1. / smlnum; rmin = magma_dsqrt(smlnum); rmax = magma_dsqrt(bignum); /* Scale matrix to allowable range, if necessary. */ anrm = magmablas_dlansy('M', uplo, n, da, ldda, dwork); iscale = 0; sigma = 1; if (anrm > 0. && anrm < rmin) { iscale = 1; sigma = rmin / anrm; } else if (anrm > rmax) { iscale = 1; sigma = rmax / anrm; } if (iscale == 1) { magmablas_dlascl(uplo, 0, 0, 1., sigma, n, n, da, ldda, info); } /* Call DSYTRD to reduce symmetric matrix to tridiagonal form. */ // dsytrd work: e (n) + tau (n) + llwork (n*nb) ==> 2n + n*nb // dstedx work: e (n) + tau (n) + z (n*n) + llwrk2 (1 + 4*n + n^2) ==> 1 + 6n + 2n^2 inde = 0; indtau = inde + n; indwrk = indtau + n; indwk2 = indwrk + n*n; llwork = lwork - indwrk; llwrk2 = lwork - indwk2; // #ifdef ENABLE_TIMER magma_timestr_t start, end; start = get_current_time(); #endif #ifdef FAST_SYMV magma_dsytrd2_gpu(uplo, n, da, ldda, w, &work[inde], &work[indtau], wa, ldwa, &work[indwrk], llwork, dwork, n*lddc, &iinfo); #else magma_dsytrd_gpu(uplo, n, da, ldda, w, &work[inde], &work[indtau], wa, ldwa, &work[indwrk], llwork, &iinfo); #endif #ifdef ENABLE_TIMER end = get_current_time(); #ifdef FAST_SYMV printf("time dsytrd2 = %6.2f\n", GetTimerValue(start,end)/1000.); #else printf("time dsytrd = %6.2f\n", GetTimerValue(start,end)/1000.); #endif #endif /* For eigenvalues only, call DSTERF. For eigenvectors, first call DSTEDC to generate the eigenvector matrix, WORK(INDWRK), of the tridiagonal matrix, then call DORMTR to multiply it to the Householder transformations represented as Householder vectors in A. */ if (! wantz) { lapackf77_dsterf(&n, w, &work[inde], info); } else { #ifdef ENABLE_TIMER start = get_current_time(); #endif magma_dstedx('A', n, 0., 0., 0, 0, w, &work[inde], &work[indwrk], n, &work[indwk2], llwrk2, iwork, liwork, dwork, info); #ifdef ENABLE_TIMER end = get_current_time(); printf("time dstedx = %6.2f\n", GetTimerValue(start,end)/1000.); #endif magma_dsetmatrix( n, n, &work[indwrk], n, dwork, lddc ); #ifdef ENABLE_TIMER start = get_current_time(); #endif magma_dormtr_gpu(MagmaLeft, uplo, MagmaNoTrans, n, n, da, ldda, &work[indtau], dwork, lddc, wa, ldwa, &iinfo); magma_dcopymatrix( n, n, dwork, lddc, da, ldda ); #ifdef ENABLE_TIMER end = get_current_time(); printf("time dormtr + copy = %6.2f\n", GetTimerValue(start,end)/1000.); #endif } /* If matrix was scaled, then rescale eigenvalues appropriately. */ if (iscale == 1) { d__1 = 1. / sigma; blasf77_dscal(&n, &d__1, w, &ione); } work[0] = lwmin * (1. + lapackf77_dlamch("Epsilon")); // round up iwork[0] = liwmin; magma_queue_destroy( stream ); magma_free( dwork ); return *info; } /* magma_dsyevd_gpu */
/** Purpose ------- DSPOSV computes the solution to a real system of linear equations A * X = B, where A is an N-by-N symmetric positive definite matrix and X and B are N-by-NRHS matrices. DSPOSV first attempts to factorize the matrix in real SINGLE PRECISION and use this factorization within an iterative refinement procedure to produce a solution with real DOUBLE PRECISION norm-wise backward error quality (see below). If the approach fails the method switches to a real DOUBLE PRECISION factorization and solve. The iterative refinement is not going to be a winning strategy if the ratio real SINGLE PRECISION performance over real DOUBLE PRECISION performance is too small. A reasonable strategy should take the number of right-hand sides and the size of the matrix into account. This might be done with a call to ILAENV in the future. Up to now, we always try iterative refinement. The iterative refinement process is stopped if ITER > ITERMAX or for all the RHS we have: RNRM < SQRT(N)*XNRM*ANRM*EPS*BWDMAX where o ITER is the number of the current iteration in the iterative refinement process o RNRM is the infinity-norm of the residual o XNRM is the infinity-norm of the solution o ANRM is the infinity-operator-norm of the matrix A o EPS is the machine epsilon returned by DLAMCH('Epsilon') The value ITERMAX and BWDMAX are fixed to 30 and 1.0D+00 respectively. Arguments --------- @param[in] uplo magma_uplo_t - = MagmaUpper: Upper triangle of A is stored; - = MagmaLower: Lower triangle of A is stored. @param[in] n INTEGER The number of linear equations, i.e., the order of the matrix A. N >= 0. @param[in] nrhs INTEGER The number of right hand sides, i.e., the number of columns of the matrix B. NRHS >= 0. @param[in,out] dA DOUBLE PRECISION array on the GPU, dimension (LDDA,N) On entry, the symmetric matrix A. If UPLO = MagmaUpper, the leading N-by-N upper triangular part of A contains the upper triangular part of the matrix A, and the strictly lower triangular part of A is not referenced. If UPLO = MagmaLower, the leading N-by-N lower triangular part of A contains the lower triangular part of the matrix A, and the strictly upper triangular part of A is not referenced. On exit, if iterative refinement has been successfully used (INFO.EQ.0 and ITER.GE.0, see description below), then A is unchanged, if double factorization has been used (INFO.EQ.0 and ITER.LT.0, see description below), then the array dA contains the factor U or L from the Cholesky factorization A = U**T*U or A = L*L**T. @param[in] ldda INTEGER The leading dimension of the array dA. LDDA >= max(1,N). @param[in] dB DOUBLE PRECISION array on the GPU, dimension (LDDB,NRHS) The N-by-NRHS right hand side matrix B. @param[in] lddb INTEGER The leading dimension of the array dB. LDDB >= max(1,N). @param[out] dX DOUBLE PRECISION array on the GPU, dimension (LDDX,NRHS) If INFO = 0, the N-by-NRHS solution matrix X. @param[in] lddx INTEGER The leading dimension of the array dX. LDDX >= max(1,N). @param dworkd (workspace) DOUBLE PRECISION array on the GPU, dimension (N*NRHS) This array is used to hold the residual vectors. @param dworks (workspace) SINGLE PRECISION array on the GPU, dimension (N*(N+NRHS)) This array is used to store the real single precision matrix and the right-hand sides or solutions in single precision. @param[out] iter INTEGER - < 0: iterative refinement has failed, double precision factorization has been performed + -1 : the routine fell back to full precision for implementation- or machine-specific reasons + -2 : narrowing the precision induced an overflow, the routine fell back to full precision + -3 : failure of SPOTRF + -31: stop the iterative refinement after the 30th iteration - > 0: iterative refinement has been successfully used. Returns the number of iterations @param[out] info INTEGER - = 0: successful exit - < 0: if INFO = -i, the i-th argument had an illegal value - > 0: if INFO = i, the leading minor of order i of (DOUBLE PRECISION) A is not positive definite, so the factorization could not be completed, and the solution has not been computed. @ingroup magma_dposv_driver ********************************************************************/ extern "C" magma_int_t magma_dsposv_gpu( magma_uplo_t uplo, magma_int_t n, magma_int_t nrhs, magmaDouble_ptr dA, magma_int_t ldda, magmaDouble_ptr dB, magma_int_t lddb, magmaDouble_ptr dX, magma_int_t lddx, magmaDouble_ptr dworkd, magmaFloat_ptr dworks, magma_int_t *iter, magma_int_t *info) { #define dB(i,j) (dB + (i) + (j)*lddb) #define dX(i,j) (dX + (i) + (j)*lddx) #define dR(i,j) (dR + (i) + (j)*lddr) #define dSX(i,j) (dSX + (i) + (j)*lddsx) // Constants const double BWDMAX = 1.0; const magma_int_t ITERMAX = 30; const double c_neg_one = MAGMA_D_NEG_ONE; const double c_one = MAGMA_D_ONE; const magma_int_t ione = 1; // Local variables magmaDouble_ptr dR; magmaFloat_ptr dSA, dSX; double Xnrmv, Rnrmv; double Anrm, Xnrm, Rnrm, cte, eps; magma_int_t i, j, iiter, lddsa, lddsx, lddr; /* Check arguments */ *iter = 0; *info = 0; if ( n < 0 ) *info = -1; else if ( nrhs < 0 ) *info = -2; else if ( ldda < max(1,n)) *info = -4; else if ( lddb < max(1,n)) *info = -7; else if ( lddx < max(1,n)) *info = -9; if (*info != 0) { magma_xerbla( __func__, -(*info) ); return *info; } if ( n == 0 || nrhs == 0 ) return *info; lddsa = n; lddsx = n; lddr = n; dSA = dworks; dSX = dSA + lddsa*n; dR = dworkd; magma_queue_t queue; magma_device_t cdev; magma_getdevice( &cdev ); magma_queue_create( cdev, &queue ); eps = lapackf77_dlamch("Epsilon"); Anrm = magmablas_dlansy( MagmaInfNorm, uplo, n, dA, ldda, (double*)dworkd, n*nrhs, queue ); cte = Anrm * eps * magma_dsqrt( n ) * BWDMAX; /* * Convert to single precision */ magmablas_dlag2s( n, nrhs, dB, lddb, dSX, lddsx, queue, info ); if (*info != 0) { *iter = -2; goto fallback; } magmablas_dlat2s( uplo, n, dA, ldda, dSA, lddsa, queue, info ); if (*info != 0) { *iter = -2; goto fallback; } // factor dSA in single precision magma_spotrf_gpu( uplo, n, dSA, lddsa, info ); if (*info != 0) { *iter = -3; goto fallback; } // solve dSA*dSX = dB in single precision magma_spotrs_gpu( uplo, n, nrhs, dSA, lddsa, dSX, lddsx, info ); // residual dR = dB - dA*dX in double precision magmablas_slag2d( n, nrhs, dSX, lddsx, dX, lddx, queue, info ); magmablas_dlacpy( MagmaFull, n, nrhs, dB, lddb, dR, lddr, queue ); if ( nrhs == 1 ) { magma_dsymv( uplo, n, c_neg_one, dA, ldda, dX, 1, c_one, dR, 1, queue ); } else { magma_dsymm( MagmaLeft, uplo, n, nrhs, c_neg_one, dA, ldda, dX, lddx, c_one, dR, lddr, queue ); } // TODO: use MAGMA_D_ABS( dX(i,j) ) instead of dlange? for( j=0; j < nrhs; j++ ) { i = magma_idamax( n, dX(0,j), 1, queue ) - 1; magma_dgetmatrix( 1, 1, dX(i,j), 1, &Xnrmv, 1, queue ); Xnrm = lapackf77_dlange( "F", &ione, &ione, &Xnrmv, &ione, NULL ); i = magma_idamax( n, dR(0,j), 1, queue ) - 1; magma_dgetmatrix( 1, 1, dR(i,j), 1, &Rnrmv, 1, queue ); Rnrm = lapackf77_dlange( "F", &ione, &ione, &Rnrmv, &ione, NULL ); if ( Rnrm > Xnrm*cte ) { goto refinement; } } *iter = 0; goto cleanup; //return *info; refinement: for( iiter=1; iiter < ITERMAX; ) { *info = 0; // convert residual dR to single precision dSX magmablas_dlag2s( n, nrhs, dR, lddr, dSX, lddsx, queue, info ); if (*info != 0) { *iter = -2; goto fallback; } // solve dSA*dSX = R in single precision magma_spotrs_gpu( uplo, n, nrhs, dSA, lddsa, dSX, lddsx, info ); // Add correction and setup residual // dX += dSX [including conversion] --and-- // dR = dB for( j=0; j < nrhs; j++ ) { magmablas_dsaxpycp( n, dSX(0,j), dX(0,j), dB(0,j), dR(0,j), queue ); } // residual dR = dB - dA*dX in double precision if ( nrhs == 1 ) { magma_dsymv( uplo, n, c_neg_one, dA, ldda, dX, 1, c_one, dR, 1, queue ); } else { magma_dsymm( MagmaLeft, uplo, n, nrhs, c_neg_one, dA, ldda, dX, lddx, c_one, dR, lddr, queue ); } // TODO: use MAGMA_D_ABS( dX(i,j) ) instead of dlange? /* Check whether the nrhs normwise backward errors satisfy the * stopping criterion. If yes, set ITER=IITER > 0 and return. */ for( j=0; j < nrhs; j++ ) { i = magma_idamax( n, dX(0,j), 1, queue ) - 1; magma_dgetmatrix( 1, 1, dX(i,j), 1, &Xnrmv, 1, queue ); Xnrm = lapackf77_dlange( "F", &ione, &ione, &Xnrmv, &ione, NULL ); i = magma_idamax( n, dR(0,j), 1, queue ) - 1; magma_dgetmatrix( 1, 1, dR(i,j), 1, &Rnrmv, 1, queue ); Rnrm = lapackf77_dlange( "F", &ione, &ione, &Rnrmv, &ione, NULL ); if ( Rnrm > Xnrm*cte ) { goto L20; } } /* If we are here, the nrhs normwise backward errors satisfy * the stopping criterion, we are good to exit. */ *iter = iiter; goto cleanup; //return *info; L20: iiter++; } /* If we are at this place of the code, this is because we have * performed ITER=ITERMAX iterations and never satisified the * stopping criterion. Set up the ITER flag accordingly and follow * up on double precision routine. */ *iter = -ITERMAX - 1; fallback: /* Single-precision iterative refinement failed to converge to a * satisfactory solution, so we resort to double precision. */ magma_dpotrf_gpu( uplo, n, dA, ldda, info ); if (*info == 0) { magmablas_dlacpy( MagmaFull, n, nrhs, dB, lddb, dX, lddx, queue ); magma_dpotrs_gpu( uplo, n, nrhs, dA, ldda, dX, lddx, info ); } cleanup: magma_queue_destroy( queue ); return *info; }
/** Purpose ------- DSYEVD_GPU computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix A. If eigenvectors are desired, it uses a divide and conquer algorithm. The divide and conquer algorithm makes very mild assumptions about floating point arithmetic. It will work on machines with a guard digit in add/subtract, or on those binary machines without guard digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or Cray-2. It could conceivably fail on hexadecimal or decimal machines without guard digits, but we know of none. Arguments --------- @param[in] jobz magma_vec_t - = MagmaNoVec: Compute eigenvalues only; - = MagmaVec: Compute eigenvalues and eigenvectors. @param[in] uplo magma_uplo_t - = MagmaUpper: Upper triangle of A is stored; - = MagmaLower: Lower triangle of A is stored. @param[in] n INTEGER The order of the matrix A. N >= 0. @param[in,out] dA DOUBLE PRECISION array on the GPU, dimension (LDDA, N). On entry, the symmetric matrix A. If UPLO = MagmaUpper, the leading N-by-N upper triangular part of A contains the upper triangular part of the matrix A. If UPLO = MagmaLower, the leading N-by-N lower triangular part of A contains the lower triangular part of the matrix A. On exit, if JOBZ = MagmaVec, then if INFO = 0, A contains the orthonormal eigenvectors of the matrix A. If JOBZ = MagmaNoVec, then on exit the lower triangle (if UPLO=MagmaLower) or the upper triangle (if UPLO=MagmaUpper) of A, including the diagonal, is destroyed. @param[in] ldda INTEGER The leading dimension of the array DA. LDDA >= max(1,N). @param[out] w DOUBLE PRECISION array, dimension (N) If INFO = 0, the eigenvalues in ascending order. @param wA (workspace) DOUBLE PRECISION array, dimension (LDWA, N) @param[in] ldwa INTEGER The leading dimension of the array wA. LDWA >= max(1,N). @param[out] work (workspace) DOUBLE PRECISION array, dimension (MAX(1,LWORK)) On exit, if INFO = 0, WORK[0] returns the optimal LWORK. @param[in] lwork INTEGER The length of the array WORK. If N <= 1, LWORK >= 1. If JOBZ = MagmaNoVec and N > 1, LWORK >= 2*N + N*NB. If JOBZ = MagmaVec and N > 1, LWORK >= max( 2*N + N*NB, 1 + 6*N + 2*N**2 ). NB can be obtained through magma_get_dsytrd_nb(N). \n If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal sizes of the WORK and IWORK arrays, returns these values as the first entries of the WORK and IWORK arrays, and no error message related to LWORK or LIWORK is issued by XERBLA. @param[out] iwork (workspace) INTEGER array, dimension (MAX(1,LIWORK)) On exit, if INFO = 0, IWORK[0] returns the optimal LIWORK. @param[in] liwork INTEGER The dimension of the array IWORK. If N <= 1, LIWORK >= 1. If JOBZ = MagmaNoVec and N > 1, LIWORK >= 1. If JOBZ = MagmaVec and N > 1, LIWORK >= 3 + 5*N. \n If LIWORK = -1, then a workspace query is assumed; the routine only calculates the optimal sizes of the WORK and IWORK arrays, returns these values as the first entries of the WORK and IWORK arrays, and no error message related to LWORK or LIWORK is issued by XERBLA. @param[out] info INTEGER - = 0: successful exit - < 0: if INFO = -i, the i-th argument had an illegal value - > 0: if INFO = i and JOBZ = MagmaNoVec, then the algorithm failed to converge; i off-diagonal elements of an intermediate tridiagonal form did not converge to zero; if INFO = i and JOBZ = MagmaVec, then the algorithm failed to compute an eigenvalue while working on the submatrix lying in rows and columns INFO/(N+1) through mod(INFO,N+1). Further Details --------------- Based on contributions by Jeff Rutter, Computer Science Division, University of California at Berkeley, USA Modified description of INFO. Sven, 16 Feb 05. @ingroup magma_dsyev_driver ********************************************************************/ extern "C" magma_int_t magma_dsyevd_gpu( magma_vec_t jobz, magma_uplo_t uplo, magma_int_t n, magmaDouble_ptr dA, magma_int_t ldda, double *w, double *wA, magma_int_t ldwa, double *work, magma_int_t lwork, #ifdef COMPLEX double *rwork, magma_int_t lrwork, #endif magma_int_t *iwork, magma_int_t liwork, magma_int_t *info) { magma_int_t ione = 1; double d__1; double eps; magma_int_t inde; double anrm; double rmin, rmax; double sigma; magma_int_t iinfo, lwmin; magma_int_t lower; magma_int_t wantz; magma_int_t indwk2, llwrk2; magma_int_t iscale; double safmin; double bignum; magma_int_t indtau; magma_int_t indwrk, liwmin; magma_int_t llwork; double smlnum; magma_int_t lquery; magmaDouble_ptr dwork; magma_int_t lddc = ldda; wantz = (jobz == MagmaVec); lower = (uplo == MagmaLower); lquery = (lwork == -1 || liwork == -1); *info = 0; if (! (wantz || (jobz == MagmaNoVec))) { *info = -1; } else if (! (lower || (uplo == MagmaUpper))) { *info = -2; } else if (n < 0) { *info = -3; } else if (ldda < max(1,n)) { *info = -5; } magma_int_t nb = magma_get_dsytrd_nb( n ); if ( n <= 1 ) { lwmin = 1; liwmin = 1; } else if ( wantz ) { lwmin = max( 2*n + n*nb, 1 + 6*n + 2*n*n ); liwmin = 3 + 5*n; } else { lwmin = 2*n + n*nb; liwmin = 1; } work[0] = magma_dmake_lwork( lwmin ); iwork[0] = liwmin; if ((lwork < lwmin) && !lquery) { *info = -10; } else if ((liwork < liwmin) && ! lquery) { *info = -12; } if (*info != 0) { magma_xerbla( __func__, -(*info) ); return *info; } else if (lquery) { return *info; } magma_queue_t queue; magma_device_t cdev; magma_getdevice( &cdev ); magma_queue_create( cdev, &queue ); /* If matrix is very small, then just call LAPACK on CPU, no need for GPU */ if (n <= 128) { magma_int_t lda = n; double *A; magma_dmalloc_cpu( &A, lda*n ); magma_dgetmatrix( n, n, dA, ldda, A, lda, queue ); lapackf77_dsyevd( lapack_vec_const(jobz), lapack_uplo_const(uplo), &n, A, &lda, w, work, &lwork, iwork, &liwork, info ); magma_dsetmatrix( n, n, A, lda, dA, ldda, queue ); magma_free_cpu( A ); magma_queue_destroy( queue ); return *info; } // dsytrd2_gpu requires ldda*ceildiv(n,64) + 2*ldda*nb // dormtr_gpu requires lddc*n // dlansy requires n magma_int_t ldwork = max( ldda*magma_ceildiv(n,64) + 2*ldda*nb, lddc*n ); ldwork = max( ldwork, n ); if ( wantz ) { // dstedx requires 3n^2/2 ldwork = max( ldwork, 3*n*(n/2 + 1) ); } if (MAGMA_SUCCESS != magma_dmalloc( &dwork, ldwork )) { *info = MAGMA_ERR_DEVICE_ALLOC; return *info; } /* Get machine constants. */ safmin = lapackf77_dlamch("Safe minimum"); eps = lapackf77_dlamch("Precision"); smlnum = safmin / eps; bignum = 1. / smlnum; rmin = magma_dsqrt( smlnum ); rmax = magma_dsqrt( bignum ); /* Scale matrix to allowable range, if necessary. */ anrm = magmablas_dlansy( MagmaMaxNorm, uplo, n, dA, ldda, dwork, ldwork, queue ); iscale = 0; sigma = 1; if (anrm > 0. && anrm < rmin) { iscale = 1; sigma = rmin / anrm; } else if (anrm > rmax) { iscale = 1; sigma = rmax / anrm; } if (iscale == 1) { magmablas_dlascl( uplo, 0, 0, 1., sigma, n, n, dA, ldda, queue, info ); } /* Call DSYTRD to reduce symmetric matrix to tridiagonal form. */ // dsytrd work: e (n) + tau (n) + llwork (n*nb) ==> 2n + n*nb // dstedx work: e (n) + tau (n) + z (n*n) + llwrk2 (1 + 4*n + n^2) ==> 1 + 6n + 2n^2 inde = 0; indtau = inde + n; indwrk = indtau + n; indwk2 = indwrk + n*n; llwork = lwork - indwrk; llwrk2 = lwork - indwk2; magma_timer_t time=0; timer_start( time ); #ifdef FAST_SYMV magma_dsytrd2_gpu( uplo, n, dA, ldda, w, &work[inde], &work[indtau], wA, ldwa, &work[indwrk], llwork, dwork, ldwork, &iinfo ); #else magma_dsytrd_gpu( uplo, n, dA, ldda, w, &work[inde], &work[indtau], wA, ldwa, &work[indwrk], llwork, &iinfo ); #endif timer_stop( time ); #ifdef FAST_SYMV timer_printf( "time dsytrd2 = %6.2f\n", time ); #else timer_printf( "time dsytrd = %6.2f\n", time ); #endif /* For eigenvalues only, call DSTERF. For eigenvectors, first call DSTEDC to generate the eigenvector matrix, WORK(INDWRK), of the tridiagonal matrix, then call DORMTR to multiply it to the Householder transformations represented as Householder vectors in A. */ if (! wantz) { lapackf77_dsterf( &n, w, &work[inde], info ); } else { timer_start( time ); magma_dstedx( MagmaRangeAll, n, 0., 0., 0, 0, w, &work[inde], &work[indwrk], n, &work[indwk2], llwrk2, iwork, liwork, dwork, info ); timer_stop( time ); timer_printf( "time dstedx = %6.2f\n", time ); timer_start( time ); magma_dsetmatrix( n, n, &work[indwrk], n, dwork, lddc, queue ); magma_dormtr_gpu( MagmaLeft, uplo, MagmaNoTrans, n, n, dA, ldda, &work[indtau], dwork, lddc, wA, ldwa, &iinfo ); magma_dcopymatrix( n, n, dwork, lddc, dA, ldda, queue ); timer_stop( time ); timer_printf( "time dormtr + copy = %6.2f\n", time ); } /* If matrix was scaled, then rescale eigenvalues appropriately. */ if (iscale == 1) { d__1 = 1. / sigma; blasf77_dscal( &n, &d__1, w, &ione ); } work[0] = magma_dmake_lwork( lwmin ); iwork[0] = liwmin; magma_queue_destroy( queue ); magma_free( dwork ); return *info; } /* magma_dsyevd_gpu */
/** Purpose ------- DSYEVDX computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix A. Eigenvalues and eigenvectors can be selected by specifying either a range of values or a range of indices for the desired eigenvalues. If eigenvectors are desired, it uses a divide and conquer algorithm. The divide and conquer algorithm makes very mild assumptions about floating point arithmetic. It will work on machines with a guard digit in add/subtract, or on those binary machines without guard digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or Cray-2. It could conceivably fail on hexadecimal or decimal machines without guard digits, but we know of none. Arguments --------- @param[in] jobz magma_vec_t - = MagmaNoVec: Compute eigenvalues only; - = MagmaVec: Compute eigenvalues and eigenvectors. @param[in] range magma_range_t - = MagmaRangeAll: all eigenvalues will be found. - = MagmaRangeV: all eigenvalues in the half-open interval (VL,VU] will be found. - = MagmaRangeI: the IL-th through IU-th eigenvalues will be found. @param[in] uplo magma_uplo_t - = MagmaUpper: Upper triangle of A is stored; - = MagmaLower: Lower triangle of A is stored. @param[in] n INTEGER The order of the matrix A. N >= 0. @param[in,out] dA DOUBLE_PRECISION array on the GPU, dimension (LDDA, N). On entry, the symmetric matrix A. If UPLO = MagmaUpper, the leading N-by-N upper triangular part of A contains the upper triangular part of the matrix A. If UPLO = MagmaLower, the leading N-by-N lower triangular part of A contains the lower triangular part of the matrix A. On exit, if JOBZ = MagmaVec, then if INFO = 0, the first m columns of A contains the required orthonormal eigenvectors of the matrix A. If JOBZ = MagmaNoVec, then on exit the lower triangle (if UPLO=MagmaLower) or the upper triangle (if UPLO=MagmaUpper) of A, including the diagonal, is destroyed. @param[in] ldda INTEGER The leading dimension of the array DA. LDDA >= max(1,N). @param[in] vl DOUBLE PRECISION @param[in] vu DOUBLE PRECISION If RANGE=MagmaRangeV, the lower and upper bounds of the interval to be searched for eigenvalues. VL < VU. Not referenced if RANGE = MagmaRangeAll or MagmaRangeI. @param[in] il INTEGER @param[in] iu INTEGER If RANGE=MagmaRangeI, the indices (in ascending order) of the smallest and largest eigenvalues to be returned. 1 <= IL <= IU <= N, if N > 0; IL = 1 and IU = 0 if N = 0. Not referenced if RANGE = MagmaRangeAll or MagmaRangeV. @param[out] m INTEGER The total number of eigenvalues found. 0 <= M <= N. If RANGE = MagmaRangeAll, M = N, and if RANGE = MagmaRangeI, M = IU-IL+1. @param[out] w DOUBLE PRECISION array, dimension (N) If INFO = 0, the required m eigenvalues in ascending order. @param wA (workspace) DOUBLE PRECISION array, dimension (LDWA, N) @param[in] ldwa INTEGER The leading dimension of the array wA. LDWA >= max(1,N). @param[out] work (workspace) DOUBLE_PRECISION array, dimension (MAX(1,LWORK)) On exit, if INFO = 0, WORK[0] returns the optimal LWORK. @param[in] lwork INTEGER The length of the array WORK. If N <= 1, LWORK >= 1. If JOBZ = MagmaNoVec and N > 1, LWORK >= 2*N + N*NB. If JOBZ = MagmaVec and N > 1, LWORK >= max( 2*N + N*NB, 1 + 6*N + 2*N**2 ). NB can be obtained through magma_get_dsytrd_nb(N). \n If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal sizes of the WORK and IWORK arrays, returns these values as the first entries of the WORK and IWORK arrays, and no error message related to LWORK or LIWORK is issued by XERBLA. @param[out] iwork (workspace) INTEGER array, dimension (MAX(1,LIWORK)) On exit, if INFO = 0, IWORK[0] returns the optimal LIWORK. @param[in] liwork INTEGER The dimension of the array IWORK. If N <= 1, LIWORK >= 1. If JOBZ = MagmaNoVec and N > 1, LIWORK >= 1. If JOBZ = MagmaVec and N > 1, LIWORK >= 3 + 5*N. \n If LIWORK = -1, then a workspace query is assumed; the routine only calculates the optimal sizes of the WORK and IWORK arrays, returns these values as the first entries of the WORK and IWORK arrays, and no error message related to LWORK or LIWORK is issued by XERBLA. @param[out] info INTEGER - = 0: successful exit - < 0: if INFO = -i, the i-th argument had an illegal value - > 0: if INFO = i and JOBZ = MagmaNoVec, then the algorithm failed to converge; i off-diagonal elements of an intermediate tridiagonal form did not converge to zero; if INFO = i and JOBZ = MagmaVec, then the algorithm failed to compute an eigenvalue while working on the submatrix lying in rows and columns INFO/(N+1) through mod(INFO,N+1). Further Details --------------- Based on contributions by Jeff Rutter, Computer Science Division, University of California at Berkeley, USA Modified description of INFO. Sven, 16 Feb 05. @ingroup magma_dsyev_driver ********************************************************************/ extern "C" magma_int_t magma_dsyevdx_gpu(magma_vec_t jobz, magma_range_t range, magma_uplo_t uplo, magma_int_t n, double *dA, magma_int_t ldda, double vl, double vu, magma_int_t il, magma_int_t iu, magma_int_t *m, double *w, double *wA, magma_int_t ldwa, double *work, magma_int_t lwork, magma_int_t *iwork, magma_int_t liwork, magma_int_t *info) { magma_int_t ione = 1; double d__1; double eps; magma_int_t inde; double anrm; double rmin, rmax; double sigma; magma_int_t iinfo, lwmin; magma_int_t lower; magma_int_t wantz; magma_int_t indwk2, llwrk2; magma_int_t iscale; double safmin; double bignum; magma_int_t indtau; magma_int_t indwrk, liwmin; magma_int_t llwork; double smlnum; magma_int_t lquery; magma_int_t alleig, valeig, indeig; double *dwork; magma_int_t lddc = ldda; wantz = (jobz == MagmaVec); lower = (uplo == MagmaLower); alleig = (range == MagmaRangeAll); valeig = (range == MagmaRangeV); indeig = (range == MagmaRangeI); lquery = (lwork == -1 || liwork == -1); *info = 0; if (! (wantz || (jobz == MagmaNoVec))) { *info = -1; } else if (! (alleig || valeig || indeig)) { *info = -2; } else if (! (lower || (uplo == MagmaUpper))) { *info = -3; } else if (n < 0) { *info = -4; } else if (ldda < max(1,n)) { *info = -6; } else if (ldwa < max(1,n)) { *info = -14; } else { if (valeig) { if (n > 0 && vu <= vl) { *info = -8; } } else if (indeig) { if (il < 1 || il > max(1,n)) { *info = -9; } else if (iu < min(n,il) || iu > n) { *info = -10; } } } magma_int_t nb = magma_get_dsytrd_nb( n ); if ( n <= 1 ) { lwmin = 1; liwmin = 1; } else if ( wantz ) { lwmin = max( 2*n + n*nb, 1 + 6*n + 2*n*n ); liwmin = 3 + 5*n; } else { lwmin = 2*n + n*nb; liwmin = 1; } // multiply by 1+eps (in Double!) to ensure length gets rounded up, // if it cannot be exactly represented in floating point. real_Double_t one_eps = 1. + lapackf77_dlamch("Epsilon"); work[0] = lwmin * one_eps; iwork[0] = liwmin; if ((lwork < lwmin) && !lquery) { *info = -16; } else if ((liwork < liwmin) && ! lquery) { *info = -18; } if (*info != 0) { magma_xerbla( __func__, -(*info) ); return *info; } else if (lquery) { return *info; } /* Check if matrix is very small then just call LAPACK on CPU, no need for GPU */ if (n <= 128) { #ifdef ENABLE_DEBUG printf("--------------------------------------------------------------\n"); printf(" warning matrix too small N=%d NB=%d, calling lapack on CPU \n", (int) n, (int) nb); printf("--------------------------------------------------------------\n"); #endif const char* jobz_ = lapack_vec_const( jobz ); const char* uplo_ = lapack_uplo_const( uplo ); double *A; magma_dmalloc_cpu( &A, n*n ); magma_dgetmatrix(n, n, dA, ldda, A, n); lapackf77_dsyevd(jobz_, uplo_, &n, A, &n, w, work, &lwork, iwork, &liwork, info); magma_dsetmatrix( n, n, A, n, dA, ldda); magma_free_cpu(A); return *info; } magma_queue_t stream; magma_queue_create( &stream ); // n*lddc for dsytrd2_gpu // n for dlansy magma_int_t ldwork = n*lddc; if ( wantz ) { // need 3n^2/2 for dstedx ldwork = max( ldwork, 3*n*(n/2 + 1)); } if (MAGMA_SUCCESS != magma_dmalloc( &dwork, ldwork )) { *info = MAGMA_ERR_DEVICE_ALLOC; return *info; } /* Get machine constants. */ safmin = lapackf77_dlamch("Safe minimum"); eps = lapackf77_dlamch("Precision"); smlnum = safmin / eps; bignum = 1. / smlnum; rmin = magma_dsqrt(smlnum); rmax = magma_dsqrt(bignum); /* Scale matrix to allowable range, if necessary. */ anrm = magmablas_dlansy(MagmaMaxNorm, uplo, n, dA, ldda, dwork); iscale = 0; sigma = 1; if (anrm > 0. && anrm < rmin) { iscale = 1; sigma = rmin / anrm; } else if (anrm > rmax) { iscale = 1; sigma = rmax / anrm; } if (iscale == 1) { magmablas_dlascl(uplo, 0, 0, 1., sigma, n, n, dA, ldda, info); } /* Call DSYTRD to reduce symmetric matrix to tridiagonal form. */ // dsytrd work: e (n) + tau (n) + llwork (n*nb) ==> 2n + n*nb // dstedx work: e (n) + tau (n) + z (n*n) + llwrk2 (1 + 4*n + n^2) ==> 1 + 6n + 2n^2 inde = 0; indtau = inde + n; indwrk = indtau + n; indwk2 = indwrk + n*n; llwork = lwork - indwrk; llwrk2 = lwork - indwk2; magma_timer_t time=0; timer_start( time ); #ifdef FAST_SYMV magma_dsytrd2_gpu(uplo, n, dA, ldda, w, &work[inde], &work[indtau], wA, ldwa, &work[indwrk], llwork, dwork, n*lddc, &iinfo); #else magma_dsytrd_gpu(uplo, n, dA, ldda, w, &work[inde], &work[indtau], wA, ldwa, &work[indwrk], llwork, &iinfo); #endif timer_stop( time ); timer_printf( "time dsytrd = %6.2f\n", time ); /* For eigenvalues only, call DSTERF. For eigenvectors, first call DSTEDC to generate the eigenvector matrix, WORK(INDWRK), of the tridiagonal matrix, then call DORMTR to multiply it to the Householder transformations represented as Householder vectors in A. */ if (! wantz) { lapackf77_dsterf(&n, w, &work[inde], info); magma_dmove_eig(range, n, w, &il, &iu, vl, vu, m); } else { timer_start( time ); magma_dstedx(range, n, vl, vu, il, iu, w, &work[inde], &work[indwrk], n, &work[indwk2], llwrk2, iwork, liwork, dwork, info); timer_stop( time ); timer_printf( "time dstedx = %6.2f\n", time ); timer_start( time ); magma_dmove_eig(range, n, w, &il, &iu, vl, vu, m); magma_dsetmatrix( n, *m, &work[indwrk + n* (il-1) ], n, dwork, lddc ); magma_dormtr_gpu(MagmaLeft, uplo, MagmaNoTrans, n, *m, dA, ldda, &work[indtau], dwork, lddc, wA, ldwa, &iinfo); magma_dcopymatrix( n, *m, dwork, lddc, dA, ldda ); timer_stop( time ); timer_printf( "time dormtr + copy = %6.2f\n", time ); } /* If matrix was scaled, then rescale eigenvalues appropriately. */ if (iscale == 1) { d__1 = 1. / sigma; blasf77_dscal(&n, &d__1, w, &ione); } work[0] = lwmin * one_eps; // round up iwork[0] = liwmin; magma_queue_destroy( stream ); magma_free( dwork ); return *info; } /* magma_dsyevd_gpu */