iparmq(3)
πΈ NAME πΈ β iparmq(3)
okay so bestie, welcome to iparmq(3) from the Library Functions Manual π This page is literally about iparmq β aka iparmq: set parameters for hseqr. That's the whole vibe: it's the little parameter-picker for the eigenvalue girlies β¨
β¨ SYNOPSIS β¨
π§ Functions
integer function iparmq (ispec, name, opts, n, ilo, ihi, lwork)
IPARMQ
π Detailed Description π
This is where the docs roll into the function documentation, bestie β keep scrolling, the details are right there π«Ά
π Function Documentation π
integer function iparmq (integer ispec, character, dimension( * ) name,
character, dimension( * ) opts, integer n, integer ilo, integer ihi,
integer lwork)
IPARMQ
π― Purpose
okay so this program sets problem and machine dependent parameters that are useful for xHSEQR and related subroutines for eigenvalue problems. It is called whenever IPARMQ is called with 12 <= ISPEC <= 16 π
π§© Parameters
ISPECβISPECisINTEGER. It specifies which tunable parameterIPARMQshould return. Here's the menu, bestie:ISPEC=12(INMIN): matrices of ordernminor less are sent directly toxLAHQR, the implicit double shift QR algorithm.NMINmust be at least11β no cap, that's the rule πISPEC=13(INWIN): size of the deflation window. This is best set greater than or equal to the number of simultaneous shiftsNS. Larger matrices benefit from larger deflation windows.ISPEC=14(INIBL): determines when to stop nibbling and invest in an (expensive) multi-shift QR sweep. If the aggressive early deflation subroutine findsLDconverged eigenvalues from an orderNWdeflation window andLD > (NW*NIBBLE)/100, then the next QR sweep is skipped and early deflation is applied immediately to the remaining active diagonal block. SettingIPARMQ(ISPEC=14) = 0causesTTQREto skip a multi-shift QR sweep whenever early deflation finds a converged eigenvalue. SettingIPARMQ(ISPEC=14)greater than or equal to100preventsTTQREfrom skipping a multi-shift QR sweep π€ISPEC=15(NSHFTS): the number of simultaneous shifts in a multi-shift QR iteration.ISPEC=16(IACC22):IPARMQis set to0,1or2, with the following meanings:0: during the multi-shift QR/QZ sweep, blocked eigenvalue reordering, blocked Hessenberg-triangular reduction, reflections and/or rotations are not accumulated when updating the far-from-diagonal matrix entries.1: during the multi-shift QR/QZ sweep, blocked eigenvalue reordering, blocked Hessenberg-triangular reduction, reflections and/or rotations are accumulated, and matrix-matrix multiplication is used to update the far-from-diagonal matrix entries.2: during the multi-shift QR/QZ sweep, blocked eigenvalue reordering, blocked Hessenberg-triangular reduction, reflections and/or rotations are accumulated, and 2-by-2 block structure is exploited during matrix-matrix multiplies.- (If
xTRMMis slower thanxGEMM, thenIPARMQ(ISPEC=16)=1may be more efficient thanIPARMQ(ISPEC=16)=2despite the greater level of arithmetic work implied by the latter choice.)
ISPEC=17(ICOST): an estimate of the relative cost of flops within the near-the-diagonal shift chase compared to flops within the BLAS calls of a QZ sweep.
NAMEβNAMEisCHARACTERstring. It's the name of the calling subroutine.OPTSβOPTSisCHARACTERstring. This is a concatenation of the string arguments toTTQRE.NβNisINTEGER.Nis the order of the Hessenberg matrixH.ILOβILOisINTEGER.IHIβIHIisINTEGER. It is assumed thatHis already upper triangular in rows and columns1:ILO-1andIHI+1:N.LWORKβLWORKisINTEGER. The amount of workspace available.
π Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
π Further Details
okay so the tea is: little is known about how best to choose these parameters π It is possible to use different values of the parameters for each of CHSEQR, DHSEQR, SHSEQR and ZHSEQR.
It is probably best to choose different parameters for different matrices and different parameters at different times during the iteration, but this has not been implemented --- yet. periodt.
The best choices of most of the parameters depend in an ill-understood way on the relative execution rate of xLAQR3 and xLAQR5 and on the nature of each particular eigenvalue problem. Experiment may be the only practical way to determine which choices are most effective. fr fr π₯
Following is a list of default values supplied by IPARMQ. These defaults may be adjusted in order to attain better performance in any particular computational environment.
IPARMQ(ISPEC=12)β thexLAHQRvsxLAQR0crossover point. Default:75. (Must be at least11.)IPARMQ(ISPEC=13)β recommended deflation window size. This depends onILO,IHIandNS, the number of simultaneous shifts returned byIPARMQ(ISPEC=15). The default for(IHI-ILO+1) <= 500isNS. The default for(IHI-ILO+1) > 500is3*NS/2.IPARMQ(ISPEC=14)β nibble crossover point. Default:14.IPARMQ(ISPEC=15)β number of simultaneous shifts,NS, for a multi-shift QR iteration.
If IHI-ILO+1 is ...
If IHI-ILO+1 is ...
greater than ...but less ... the
or equal to ... than default is
0 30 NS = 2+
30 60 NS = 4+
60 150 NS = 10
150 590 NS = **
590 3000 NS = 64
3000 6000 NS = 128
6000 infinity NS = 256
(+) By default matrices of this order are passed to the implicit double shift routine xLAHQR. See IPARMQ(ISPEC=12) above. These values of NS are used only in case of a rare xLAHQR failure.
(**) The asterisks (**) indicate an ad-hoc function increasing from 10 to 64.
IPARMQ(ISPEC=16)β select structured matrix multiply. (SeeISPEC=16above for details.) Default:3.IPARMQ(ISPEC=17)β relative cost heuristic for blocksize selection. Expressed as a percentage. Default:10.
Definition at line 229 of file iparmq.f.
π€ Author
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