If you can help me reproduce the problem with a simple code I can debug the problem and fix it.
Barry > On Feb 3, 2023, at 6:42 PM, Karthikeyan Chockalingam - STFC UKRI > <[email protected]> wrote: > > I updated the main branch to the below commit but the same problem persists. > > [0]PETSC ERROR: Petsc Development GIT revision: v3.18.4-529-g995ec06f92 GIT > Date: 2023-02-03 18:41:48 +0000 > > > From: Barry Smith <[email protected] <mailto:[email protected]>> > Date: Friday, 3 February 2023 at 18:51 > To: Chockalingam, Karthikeyan (STFC,DL,HC) > <[email protected] > <mailto:[email protected]>> > Cc: [email protected] <mailto:[email protected]> > <[email protected] <mailto:[email protected]>> > Subject: Re: [petsc-users] Eliminating rows and columns which are zeros > > > If you switch to use the main branch of petsc > https://petsc.org/release/install/download/#advanced-obtain-petsc-development-version-with-git > you will not have the problem below (previously we required that a row exist > before we zeroed it but now we allow the row to initially have no entries and > still be zeroed. > > Barry > > > On Feb 3, 2023, at 1:04 PM, Karthikeyan Chockalingam - STFC UKRI > <[email protected] > <mailto:[email protected]>> wrote: > > Thank you. The entire error output was an attachment in my previous email. I > am pasting here for your reference. > > > > [1;31m[0]PETSC ERROR: --------------------- Error Message > -------------------------------------------------------------- > [0;39m[0;49m[0]PETSC ERROR: Object is in wrong state > [0]PETSC ERROR: Matrix is missing diagonal entry in row 0 (65792) > [0]PETSC ERROR: WARNING! There are option(s) set that were not used! Could be > the program crashed before they were used or a spelling mistake, etc! > [0]PETSC ERROR: Option left: name:-options_left (no value) > [0]PETSC ERROR: See https://petsc.org/release/faq/ for trouble shooting. > [0]PETSC ERROR: Petsc Development GIT revision: v3.18.1-127-ga207d08eda GIT > Date: 2022-10-30 11:03:25 -0500 > [0]PETSC ERROR: > /Users/karthikeyan.chockalingam/AMReX/amrFEM/build/Debug/amrFEM on a named > HC20210312 by karthikeyan.chockalingam Fri Feb 3 11:10:01 2023 > [0]PETSC ERROR: Configure options --with-debugging=0 > --prefix=/Users/karthikeyan.chockalingam/AMReX/petsc > --download-fblaslapack=yes --download-scalapack=yes --download-mumps=yes > --with-hypre-dir=/Users/karthikeyan.chockalingam/AMReX/hypre/src/hypre > [0]PETSC ERROR: #1 MatZeroRowsColumns_SeqAIJ() at > /Users/karthikeyan.chockalingam/AMReX/SRC_PKG/petsc/src/mat/impls/aij/seq/aij.c:2218 > [0]PETSC ERROR: #2 MatZeroRowsColumns() at > /Users/karthikeyan.chockalingam/AMReX/SRC_PKG/petsc/src/mat/interface/matrix.c:6085 > [0]PETSC ERROR: #3 MatZeroRowsColumns_MPIAIJ() at > /Users/karthikeyan.chockalingam/AMReX/SRC_PKG/petsc/src/mat/impls/aij/mpi/mpiaij.c:879 > [0]PETSC ERROR: #4 MatZeroRowsColumns() at > /Users/karthikeyan.chockalingam/AMReX/SRC_PKG/petsc/src/mat/interface/matrix.c:6085 > [0]PETSC ERROR: #5 MatZeroRowsColumnsIS() at > /Users/karthikeyan.chockalingam/AMReX/SRC_PKG/petsc/src/mat/interface/matrix.c:6124 > [0]PETSC ERROR: #6 localAssembly() at > /Users/karthikeyan.chockalingam/AMReX/amrFEM/src/FENodalPoisson.cpp:435 > Residual norms for redistribute_ solve. > 0 KSP preconditioned resid norm 5.182603110407e+00 true resid norm > 1.382027496109e+01 ||r(i)||/||b|| 1.000000000000e+00 > 1 KSP preconditioned resid norm 1.862430383976e+00 true resid norm > 4.966481023937e+00 ||r(i)||/||b|| 3.593619546588e-01 > 2 KSP preconditioned resid norm 2.132803507689e-01 true resid norm > 5.687476020503e-01 ||r(i)||/||b|| 4.115313216645e-02 > 3 KSP preconditioned resid norm 5.499797533437e-02 true resid norm > 1.466612675583e-01 ||r(i)||/||b|| 1.061203687852e-02 > 4 KSP preconditioned resid norm 2.829814271435e-02 true resid norm > 7.546171390493e-02 ||r(i)||/||b|| 5.460217985345e-03 > 5 KSP preconditioned resid norm 7.431048995318e-03 true resid norm > 1.981613065418e-02 ||r(i)||/||b|| 1.433844891652e-03 > 6 KSP preconditioned resid norm 3.182040728972e-03 true resid norm > 8.485441943932e-03 ||r(i)||/||b|| 6.139850305312e-04 > 7 KSP preconditioned resid norm 1.030867020459e-03 true resid norm > 2.748978721225e-03 ||r(i)||/||b|| 1.989091193167e-04 > 8 KSP preconditioned resid norm 4.469429300003e-04 true resid norm > 1.191847813335e-03 ||r(i)||/||b|| 8.623908111021e-05 > 9 KSP preconditioned resid norm 1.237303313796e-04 true resid norm > 3.299475503456e-04 ||r(i)||/||b|| 2.387416685085e-05 > 10 KSP preconditioned resid norm 5.822094326756e-05 true resid norm > 1.552558487134e-04 ||r(i)||/||b|| 1.123391894522e-05 > 11 KSP preconditioned resid norm 1.735776150969e-05 true resid norm > 4.628736402585e-05 ||r(i)||/||b|| 3.349236115503e-06 > Linear redistribute_ solve converged due to CONVERGED_RTOL iterations 11 > KSP Object: (redistribute_) 1 MPI process > type: cg > maximum iterations=10000, initial guess is zero > tolerances: relative=1e-05, absolute=1e-50, divergence=10000. > left preconditioning > using PRECONDITIONED norm type for convergence test > PC Object: (redistribute_) 1 MPI process > type: jacobi > type DIAGONAL > linear system matrix = precond matrix: > Mat Object: 1 MPI process > type: mpiaij > rows=48896, cols=48896 > total: nonzeros=307976, allocated nonzeros=307976 > total number of mallocs used during MatSetValues calls=0 > not using I-node (on process 0) routines > End of program > solve time 0.564714744 seconds > Starting max value is: 0 > Min value of level 0 is: 0 > Interpolated min value is: 741.978761 > Unused ParmParse Variables: > [TOP]::model.type(nvals = 1) :: [3] > [TOP]::ref_ratio(nvals = 1) :: [2] > > AMReX (22.10-20-g3082028e4287) finalized > #PETSc Option Table entries: > -ksp_type preonly > -options_left > -pc_type redistribute > -redistribute_ksp_converged_reason > -redistribute_ksp_monitor_true_residual > -redistribute_ksp_type cg > -redistribute_ksp_view > -redistribute_pc_type jacobi > #End of PETSc Option Table entries > There are no unused options. > Program ended with exit code: 0 > > > Best, > Karthik. > > From: Barry Smith <[email protected] <mailto:[email protected]>> > Date: Friday, 3 February 2023 at 17:41 > To: Chockalingam, Karthikeyan (STFC,DL,HC) > <[email protected] > <mailto:[email protected]>> > Cc: [email protected] <mailto:[email protected]> > <[email protected] <mailto:[email protected]>> > Subject: Re: [petsc-users] Eliminating rows and columns which are zeros > > > We need all the error output for the errors you got below to understand > why the errors are happening. > > > > On Feb 3, 2023, at 11:41 AM, Karthikeyan Chockalingam - STFC UKRI > <[email protected] > <mailto:[email protected]>> wrote: > > Hello Barry, > > I would like to better understand pc_type redistribute usage. > > I am plan to use pc_type redistribute in the context of adaptive mesh > refinement on a structured grid in 2D. My base mesh (level 0) is indexed from > 0 to N-1 elements and refined mesh (level 1) is indexed from 0 to 4(N-1) > elements. When I construct system matrix A on (level 1); I probably only use > 20% of 4(N-1) elements, however the indexes are scattered in the range of 0 > to 4(N-1). That leaves 80% of the rows and columns of the system matrix A on > (level 1) to be zero. From your earlier response, I believe this would be a > use case for petsc_type redistribute. > > Indeed the linear solve will be more efficient if you use the redistribute > solver. > > But I don't understand your plan. With adaptive refinement I would just > create the two matrices, one for the initial grid on which you solve the > system, this will be a smaller matrix and then create a new larger matrix for > the refined grid (and discard the previous matrix). > > > > > Question (1) > > > If N is really large, I would have to allocate memory of size 4(N-1) for the > system matrix A on (level 1). How does pc_type redistribute help? Because, I > did end up allocating memory for a large system, where most of the rows and > columns are zeros. Is most of the allotted memory not wasted? Is this the > correct usage? > > See above > > > > > Question (2) > > > I tried using pc_type redistribute for a two level system. > I have attached the output only for (level 1) > The solution converges to right solution but still petsc outputs some error > messages. > > [0]PETSC ERROR: WARNING! There are option(s) set that were not used! Could be > the program crashed before they were used or a spelling mistake, etc! > [0]PETSC ERROR: Option left: name:-options_left (no value) > > But the there were no unused options > > #PETSc Option Table entries: > -ksp_type preonly > -options_left > -pc_type redistribute > -redistribute_ksp_converged_reason > -redistribute_ksp_monitor_true_residual > -redistribute_ksp_type cg > -redistribute_ksp_view > -redistribute_pc_type jacobi > #End of PETSc Option Table entries > There are no unused options. > Program ended with exit code: 0 > > I cannot explain this > > > > Question (2) > > [0;39m[0;49m[0]PETSC ERROR: Object is in wrong state > [0]PETSC ERROR: Matrix is missing diagonal entry in row 0 (65792) > > What does this error message imply? Given I only use 20% of 4(N-1) indexes, I > can imagine most of the diagonal entrees are zero. Is my understanding > correct? > > > Question (3) > > > > [0]PETSC ERROR: #5 MatZeroRowsColumnsIS() at > /Users/karthikeyan.chockalingam/AMReX/SRC_PKG/petsc/src/mat/interface/matrix.c:6124 > > I am using MatZeroRowsColumnsIS to set the homogenous Dirichelet boundary. I > don’t follow why I get this error message as the linear system converges to > the right solution. > > Thank you for your help. > > Kind regards, > Karthik. > > > > From: Barry Smith <[email protected] <mailto:[email protected]>> > Date: Tuesday, 10 January 2023 at 18:50 > To: Chockalingam, Karthikeyan (STFC,DL,HC) > <[email protected] > <mailto:[email protected]>> > Cc: [email protected] <mailto:[email protected]> > <[email protected] <mailto:[email protected]>> > Subject: Re: [petsc-users] Eliminating rows and columns which are zeros > > > Yes, after the solve the x will contain correct values for ALL the > locations including the (zeroed out rows). You use case is exactly what > redistribute it for. > > Barry > > > > > > On Jan 10, 2023, at 11:25 AM, Karthikeyan Chockalingam - STFC UKRI > <[email protected] > <mailto:[email protected]>> wrote: > > Thank you Barry. This is great! > > I plan to solve using ‘-pc_type redistribute’ after applying the Dirichlet bc > using > MatZeroRowsColumnsIS(A, isout, 1, x, b); > > While I retrieve the solution data from x (after the solve) – can I index > them using the original ordering (if I may say that)? > > Kind regards, > Karthik. > > From: Barry Smith <[email protected] <mailto:[email protected]>> > Date: Tuesday, 10 January 2023 at 16:04 > To: Chockalingam, Karthikeyan (STFC,DL,HC) > <[email protected] > <mailto:[email protected]>> > Cc: [email protected] <mailto:[email protected]> > <[email protected] <mailto:[email protected]>> > Subject: Re: [petsc-users] Eliminating rows and columns which are zeros > > > https://petsc.org/release/docs/manualpages/PC/PCREDISTRIBUTE/#pcredistribute > -pc_type redistribute > > > It does everything for you. Note that if the right hand side for any of the > "zero" rows is nonzero then the system is inconsistent and the system does > not have a solution. > > Barry > > > > > > On Jan 10, 2023, at 10:30 AM, Karthikeyan Chockalingam - STFC UKRI via > petsc-users <[email protected] <mailto:[email protected]>> wrote: > > Hello, > > I am assembling a MATIJ of size N, where a very large number of rows (and > corresponding columns), are zeros. I would like to potentially eliminate them > before the solve. > > For instance say N=7 > > 0 0 0 0 0 0 0 > 0 1 -1 0 0 0 0 > 0 -1 2 0 0 0 -1 > 0 0 0 0 0 0 0 > 0 0 0 0 0 0 0 > 0 0 0 0 0 0 0 > 0 0 -1 0 0 0 1 > > I would like to reduce it to a 3x3 > > 1 -1 0 > -1 2 -1 > 0 -1 1 > > I do know the size N. > > Q1) How do I do it? > Q2) Is it better to eliminate them as it would save a lot of memory? > Q3) At the moment, I don’t know which rows (and columns) have the zero > entries but with some effort I probably can find them. Should I know which > rows (and columns) I am eliminating? > > Thank you. > > Karthik. > This email and any attachments are intended solely for the use of the named > recipients. If you are not the intended recipient you must not use, disclose, > copy or distribute this email or any of its attachments and should notify > the sender immediately and delete this email from your system. UK Research > and Innovation (UKRI) has taken every reasonable precaution to minimise risk > of this email or any attachments containing viruses or malware but the > recipient should carry out its own virus and malware checks before opening > the attachments. UKRI does not accept any liability for any losses or damages > which the recipient may sustain due to presence of any viruses. > > > <petsc_redistribute.txt>
