[petsc-users] Matrix Assembly too slow
Vijay Gopal Chilkuri
vijay.gopal.c at gmail.com
Fri May 8 07:20:12 CDT 2015
Hi matt,
I'm not generating values on random processors.
here is the relevant part of the code:
> ierr = MatGetOwnershipRange(A,&Istart,&Iend);CHKERRQ(ierr);
> MPI_Comm_rank(MPI_COMM_WORLD,&mpiid);
> for (i=Istart; i<Iend; i++) {
> tcountcol=0;
> iii=i+1;
> unit_l1_(
> l1,
> l2,
> ktyp,
> &iii,
> xjjxy,
> xjjz ,
> xtt ,
> &tcountcol,
> &ntrou,
> tcol,
> val);
> for(kk=0;kk<52;kk++){
> value[kk] = val[kk];
> col[kk] = tcol[kk]-1;
> }
> countcol=tcountcol;
> ierr =
> MatSetValues(A,1,&i,countcol,col,value,INSERT_VALUES);CHKERRQ(ierr);
> }
As can be seen, I get the relevant rows attributed to each processor and
only MatSetValues() for the rows owned by the corresponding processors.
That's why it is surprising that MatAssemnly takes a long time !
On Fri, May 8, 2015 at 12:21 PM, Matthew Knepley <knepley at gmail.com> wrote:
> On Fri, May 8, 2015 at 3:27 AM, Vijay Gopal Chilkuri <
> vijay.gopal.c at gmail.com> wrote:
>
>> Thanks for testing.
>>
>> My problem is not with MatSetValues(), it is
>> MatAssemblyBegin()/MatAssemblyEnd() that takes forever to finish.
>> MatSetValues() is quite fast as you noticed.
>>
>> Actually, unit_l1_ is the subroutine that generates the nonzero terms
>> (per row) of my hamiltonian. For large matrices this should be time
>> consuming if done on a single processor.
>> This is the reason that i use a lot of processors to divide the work of
>> calling unit_l1_ multiple times.
>> For example, if I use 171 processors over 10 nodes, unit_l1_ finishes in
>> about 40 min. It is after this step at the MatAssemblyBegin() and
>> MatAssemblyEnd() that the
>> PETSc code get's stuck.
>>
>
> Are you generating values on a random process, or on the process that owns
> the row? If you
> generate them anywhere, then MatAssemblyEnd() can have a large amount of
> data to
> communicate.
>
> Matt
>
>
>> If it's not too much trouble, could you perhaps test with more processors
>> ?
>>
>> thanks again.
>>
>> On Thu, May 7, 2015 at 9:25 PM, Barry Smith <bsmith at mcs.anl.gov> wrote:
>>
>>>
>>> I built the code with gfortran and optimization on my mac and run it
>>> on one process. It is spending all its time in the unit_l1_ routine and
>>> almost no time in the MatSetValues() in fact if I comment out the
>>> MatSetValues() line it runs just as slow as before. How can you know the
>>> time is spend in the MatSetValues()? Have you timed it also with the
>>> MatSetValues() time commented out?
>>>
>>> Barry
>>>
>>> > On May 2, 2015, at 5:58 PM, Vijay Gopal Chilkuri <
>>> vijay.gopal.c at gmail.com> wrote:
>>> >
>>> > You are right ! I am using the IRPF90 tool to write my program in
>>> FORTRAN.
>>> >
>>> > To use IRPF90 you can clone the github repository and get the irpf90
>>> binary from the bin directory.
>>> > The code to generate the library that contains UNIT_L1_ can be found
>>> at: https://github.com/v1j4y/slepc_version.git
>>> > just clone this repository and do:
>>> >
>>> > make
>>> > make irpf90.a
>>> >
>>> > That's it !
>>> >
>>> > I'm resending you the PETSc files along with the makefile. you'll need
>>> the irpf90.a library to make the ex1 executable.
>>> >
>>> > Hopefully this time it'll work.
>>> > Please let me know if something goes wrong.
>>> >
>>> > On Sun, May 3, 2015 at 12:24 AM, Barry Smith <bsmith at mcs.anl.gov>
>>> wrote:
>>> >
>>> > Our stupid mail system blocked the attachment because it contained
>>> irpf90.a Is this a library generated with
>>> https://github.com/scemama/irpf90 ?
>>> > You need to email everything that goes into making that library
>>> because it is unlikely your .a library will work on my machine. What is
>>> this thing and can you just tar up the directory that builds it and I can
>>> generate irpf90.a
>>> >
>>> > Barry
>>> >
>>> > > On May 2, 2015, at 3:49 PM, Vijay Gopal Chilkuri <
>>> vijay.gopal.c at gmail.com> wrote:
>>> > >
>>> > > Ok so here goes.
>>> > >
>>> > > I've attached a tarball with a directory which contains the required
>>> files to compile ex1.c
>>> > > The UNIT_L1_ subroutine generates the nonzero elements of my
>>> hamiltonian given a row, it is contained in the
>>> > > irpf90.a library. The actual fortran code is quite ugly.
>>> > > Please tell me if you are able to compile and run the codes.
>>> > >
>>> > > Thanks a lot,
>>> > > Vijay
>>> > >
>>> > > On Sat, May 2, 2015 at 10:26 PM, Barry Smith <bsmith at mcs.anl.gov>
>>> wrote:
>>> > >
>>> > > > On May 2, 2015, at 2:57 PM, Vijay Gopal Chilkuri <
>>> vijay.gopal.c at gmail.com> wrote:
>>> > > >
>>> > > > Please let me clarify,
>>> > > >
>>> > > > @Matt:
>>> > > > I've followed the proper manner to rapid assembly.
>>> > > > That is :
>>> > > > 1. preallocation
>>> > > > 2. nonzero ownership
>>> > > > Despite of having done the proper preallocation (as you can see
>>> from the output file),
>>> > > > the matrix takes ages to assemble, whereas the same code works for
>>> a larger matrix with (100,000,000) elements taking 2 min to assemble !
>>> > > >
>>> > > > @Barry:
>>> > > > I am not touching any file in the code that I attachd.
>>> > > > What i'm doing is that each processor will (according to it's
>>> ownership range) get it's nonzero entries
>>> > > > using a Fortran subroutine (UNIT_L1_) and call MatSetValues() for
>>> their respective rows.
>>> > > > Again to be clear I"m NOT doing file I/O anywhere.
>>> > >
>>> > > Oh sorry, where is the fortran code? I assumed the fortran code
>>> was reading from a file.
>>> > >
>>> > > Based on what you sent yes it should take little time; if you
>>> send something I could run I could try to see why it would be slow.
>>> > >
>>> > > Barry
>>> > >
>>> > > >
>>> > > > Could you please have a look at the files attached.
>>> > > >
>>> > > >
>>> > > >
>>> > > >
>>> > > >
>>> > > > On Sat, May 2, 2015 at 9:42 PM, Barry Smith <bsmith at mcs.anl.gov>
>>> wrote:
>>> > > >
>>> > > > You have two hundred processes banging on the same file on the
>>> same filesystem fighting with each other to read in the matrix. That's like
>>> hiring two hundred guys to dig a ditch but making them share one shovel;
>>> you won't get speed up, you'll get speed down.
>>> > > >
>>> > > >
>>> > > > Make a simple sequential PETSc program that reads in the matrix
>>> and then store it with MatView() in binary format. Then in your parallel
>>> program use MatLoad() to read the matrix in (it will take a few seconds to
>>> read in the matrix in that case).
>>> > > >
>>> > > > Barry
>>> > > >
>>> > > >
>>> > > > > On May 2, 2015, at 2:10 PM, Vijay Gopal Chilkuri <
>>> vijay.gopal.c at gmail.com> wrote:
>>> > > > >
>>> > > > > Hi,
>>> > > > >
>>> > > > > I'm trying to diagonalize large matrices using PETSc and SLEPc.
>>> > > > > I've successfully diagonalized 100 million dimensional matrix in
>>> 2hours.
>>> > > > >
>>> > > > > But, the problem is when i try to diagonailze (similar) a
>>> smaller metrix of
>>> > > > > dimension 67,000,000 (24 nonzero elements per row) with 10 noes
>>> running 20 processors each (similar to the 100 million case), the matrix
>>> assembly itself
>>> > > > > takes 2h !
>>> > > > >
>>> > > > > Could someone point out the mistakes that i'm making ?
>>> > > > >
>>> > > > > i attach the source code and the output with the mail.
>>> > > > >
>>> > > > > thanks,
>>> > > > > Vijay
>>> > > > >
>>> > > > >
>>> > > > > #include <slepceps.h>
>>> > > > > #include <petsctime.h>
>>> > > > >
>>> > > > > #undef __FUNCT__
>>> > > > > #define __FUNCT__ "main"
>>> > > > > int main(int argc,char **argv)
>>> > > > > {
>>> > > > > Mat A; /* problem matrix */
>>> > > > > EPS eps; /* eigenproblem solver context */
>>> > > > > EPSType type;
>>> > > > > PetscReal error,tol,re,im;
>>> > > > > PetscScalar kr,ki,value[52];
>>> > > > > Vec xr,xi;
>>> > > > > PetscInt
>>> n=16224936,ii,i,veclen,j,Istart,Iend,col[52],nev,maxit,its,nconv,countcol;
>>> > > > > PetscInt d_nz,o_nz;
>>> > > > > PetscLogDouble t1,t2,tt1,tt2;
>>> > > > > PetscBool FirstBlock=PETSC_FALSE,LastBlock=PETSC_FALSE;
>>> > > > > PetscErrorCode ierr;
>>> > > > > PetscScalar eigr;
>>> > > > > PetscScalar eigi;
>>> > > > > PetscScalar * data;
>>> > > > > Vec Vr,Vi;
>>> > > > > char filename[PETSC_MAX_PATH_LEN]="FIL666";
>>> > > > > PetscViewer viewer;
>>> > > > > PetscBool ishermitian;
>>> > > > > int mpiid;
>>> > > > > long int kk,iii;
>>> > > > > long int tcountcol,tcol[52];
>>> > > > > float val[52];
>>> > > > > long int ntrou=1;
>>> > > > > long int l1[52]={1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
>>> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21,
>>> 22, 23, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
>>> > > > > long int l2[52]={2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
>>> 12, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 14, 15, 16, 17, 18, 19,
>>> 20, 21, 22, 23, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
>>> };
>>> > > > > long int ktyp[52]={1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
>>> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0,
>>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
>>> > > > > double xjjz[52] ={0.0333333333333,-0.8, 0.,
>>> > > > > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
>>> > > > > double xjjxy[52] ={0.0333333333333,-0.8,0.,
>>> > > > > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
>>> > > > > double xtt[52] ={-1.0,0.,0.,
>>> > > > > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
>>> > > > >
>>> > > > > SlepcInitialize(&argc,&argv,(char*)0,NULL);
>>> > > > > ierr = PetscPrintf(PETSC_COMM_WORLD,"\n1-D t-J Eigenproblem,
>>> n=%D\n\n",n);CHKERRQ(ierr);
>>> > > > > ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
>>> > > > > //ierr =
>>> MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,n,n);CHKERRQ(ierr);
>>> > > > > ierr =
>>> MatCreateAIJ(PETSC_COMM_WORLD,PETSC_DECIDE,PETSC_DECIDE,n,n,46,NULL,46,NULL,&A);CHKERRQ(ierr);
>>> > > > > ierr = MatSetFromOptions(A);CHKERRQ(ierr);
>>> > > > > ierr = MatSetUp(A);CHKERRQ(ierr);
>>> > > > >
>>> > > > > ierr = MatGetOwnershipRange(A,&Istart,&Iend);CHKERRQ(ierr);
>>> > > > > ierr =
>>> MatCreateAIJ(PETSC_COMM_WORLD,Iend-Istart,Iend-Istart,n,n,46,NULL,46,NULL,&A);CHKERRQ(ierr);
>>> > > > > MPI_Comm_rank(MPI_COMM_WORLD,&mpiid);
>>> > > > > ierr = PetscTime(&tt1);CHKERRQ(ierr);
>>> > > > > for (i=Istart; i<Iend; i++) {
>>> > > > > tcountcol=0;
>>> > > > > iii=i+1;
>>> > > > > if(i%5 == 0 && mpiid==0){
>>> > > > > ierr = PetscTime(&t1);CHKERRQ(ierr);
>>> > > > > }
>>> > > > > unit_l1_(
>>> > > > > l1,
>>> > > > > l2,
>>> > > > > ktyp,
>>> > > > > &iii,
>>> > > > > xjjxy,
>>> > > > > xjjz ,
>>> > > > > xtt ,
>>> > > > > &tcountcol,
>>> > > > > &ntrou,
>>> > > > > tcol,
>>> > > > > val);
>>> > > > > for(kk=0;kk<52;kk++){
>>> > > > > value[kk] = val[kk];
>>> > > > > col[kk] = tcol[kk]-1;
>>> > > > > }
>>> > > > > if(i%5 == 0 && mpiid==0){
>>> > > > > ierr = PetscTime(&t2);CHKERRQ(ierr);
>>> > > > > ierr = PetscPrintf(PETSC_COMM_WORLD," i: %d\n mpiid:
>>> %d\ntime: %f\n",i,mpiid,t2-t1);CHKERRQ(ierr);
>>> > > > > }
>>> > > > > countcol=tcountcol;
>>> > > > > if(i%5 == 0 && mpiid==0){
>>> > > > > ierr = PetscTime(&t1);CHKERRQ(ierr);
>>> > > > > }
>>> > > > > ierr =
>>> MatSetValues(A,1,&i,countcol,col,value,INSERT_VALUES);CHKERRQ(ierr);
>>> > > > > if(i%5 == 0 && mpiid==0){
>>> > > > > ierr = PetscTime(&t2);CHKERRQ(ierr);
>>> > > > > ierr = PetscPrintf(PETSC_COMM_WORLD," processor \n
>>> mpiid: %d\ntime: %f\n",mpiid,t2-t1);CHKERRQ(ierr);
>>> > > > > }
>>> > > > > }
>>> > > > > ierr = PetscTime(&tt2);CHKERRQ(ierr);
>>> > > > > ierr = PetscPrintf(PETSC_COMM_WORLD," Time used to build the
>>> matrix: %f\n",tt2-tt1);CHKERRQ(ierr);
>>> > > > >
>>> > > > >
>>> > > > > ierr = PetscTime(&tt1);CHKERRQ(ierr);
>>> > > > > ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
>>> > > > > ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
>>> > > > > ierr = PetscTime(&tt2);CHKERRQ(ierr);
>>> > > > > ierr = PetscPrintf(PETSC_COMM_WORLD," Time used to assemble
>>> the matrix: %f\n",tt2-tt1);CHKERRQ(ierr);
>>> > > > > ierr = MatGetVecs(A,NULL,&xr);CHKERRQ(ierr);
>>> > > > > ierr = MatGetVecs(A,NULL,&xi);CHKERRQ(ierr);
>>> > > > >
>>> > > > > ierr = EPSCreate(PETSC_COMM_WORLD,&eps);CHKERRQ(ierr);
>>> > > > > ierr = EPSSetOperators(eps,A,NULL);CHKERRQ(ierr);
>>> > > > > ierr = EPSSetProblemType(eps,EPS_HEP);CHKERRQ(ierr);
>>> > > > > ierr =
>>> EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL);CHKERRQ(ierr);
>>> > > > >
>>> > > > > ierr = EPSSetFromOptions(eps);CHKERRQ(ierr);
>>> > > > > tol = 1.e-8;
>>> > > > > maxit = 10000000;
>>> > > > > ierr = EPSSetTolerances(eps,tol,maxit);CHKERRQ(ierr);
>>> > > > >
>>> > > > > ierr = PetscTime(&t1);CHKERRQ(ierr);
>>> > > > > ierr = EPSSolve(eps);CHKERRQ(ierr);
>>> > > > > ierr = PetscTime(&t2);CHKERRQ(ierr);
>>> > > > > ierr = PetscPrintf(PETSC_COMM_WORLD," Time used:
>>> %f\n",t2-t1);CHKERRQ(ierr);
>>> > > > > ierr = EPSGetIterationNumber(eps,&its);CHKERRQ(ierr);
>>> > > > > ierr = PetscPrintf(PETSC_COMM_WORLD," Number of iterations of
>>> the method: %D\n",its);CHKERRQ(ierr);
>>> > > > > ierr = EPSGetType(eps,&type);CHKERRQ(ierr);
>>> > > > > ierr = PetscPrintf(PETSC_COMM_WORLD," Solution method:
>>> %s\n\n",type);CHKERRQ(ierr);
>>> > > > > ierr = EPSGetDimensions(eps,&nev,NULL,NULL);CHKERRQ(ierr);
>>> > > > > ierr = PetscPrintf(PETSC_COMM_WORLD," Number of requested
>>> eigenvalues: %D\n",nev);CHKERRQ(ierr);
>>> > > > > ierr = EPSGetTolerances(eps,&tol,&maxit);CHKERRQ(ierr);
>>> > > > > ierr = PetscPrintf(PETSC_COMM_WORLD," Stopping condition:
>>> tol=%.4g, maxit=%D\n",(double)tol,maxit);CHKERRQ(ierr);
>>> > > > >
>>> > > > > ierr = EPSGetConverged(eps,&nconv);CHKERRQ(ierr);
>>> > > > > ierr = EPSPrintSolution(eps,NULL);CHKERRQ(ierr);
>>> > > > > /*
>>> > > > > EPSGetConverged(eps,&nconv);
>>> > > > > if (nconv>0) {
>>> > > > > PetscViewerASCIIOpen(PETSC_COMM_WORLD,filename,&viewer);
>>> > > > > EPSIsHermitian(eps,&ishermitian);
>>> > > > > for (i=0;i<nconv;i++) {
>>> > > > > EPSGetEigenvector(eps,i,xr,xi);
>>> > > > > VecView(xr,viewer);
>>> > > > > #if !defined(PETSC_USE_COMPLEX)
>>> > > > > if (!ishermitian) { VecView(xi,viewer); }
>>> > > > > #endif
>>> > > > > }
>>> > > > > PetscViewerDestroy(&viewer);
>>> > > > > }
>>> > > > > */
>>> > > > > ierr = EPSDestroy(&eps);CHKERRQ(ierr);
>>> > > > > ierr = MatDestroy(&A);CHKERRQ(ierr);
>>> > > > > ierr = VecDestroy(&xr);CHKERRQ(ierr);
>>> > > > > ierr = VecDestroy(&xi);CHKERRQ(ierr);
>>> > > > > ierr = SlepcFinalize();
>>> > > > > return 0;
>>> > > > > }
>>> > > > >
>>> > > > > OUTPUT:
>>> > > > > Time used to build the matrix: 1914.729022
>>> > > > > [0] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [0] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [6] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [6] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [182] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [182] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [100] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [100] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [60] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [60] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [140] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [140] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [120] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [120] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [162] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [162] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [20] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [20] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [80] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [80] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [40] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [40] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [7] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [7] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [185] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [185] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [101] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [101] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [61] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [61] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [142] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [142] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [130] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [130] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [166] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [166] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [21] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [21] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [81] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [81] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [44] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [44] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [9] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [9] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [187] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [187] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [105] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [105] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [62] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [62] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [143] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [143] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [132] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [132] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [169] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [169] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [24] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [24] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [84] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [84] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [45] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [45] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [10] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [10] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [188] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [188] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [109] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [109] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [63] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [63] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [148] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [148] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [133] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [133] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [170] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [170] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [25] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [25] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [86] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [86] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [47] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [47] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [11] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [11] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [190] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [190] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [111] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [111] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [64] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [64] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [156] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [156] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [134] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [134] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [171] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [171] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [26] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [26] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [91] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [91] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [48] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [48] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [12] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [12] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [192] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [192] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [112] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [112] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [65] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [65] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [157] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [157] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [135] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [135] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [174] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [174] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [28] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [28] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [13] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [13] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [194] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [194] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [113] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [113] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [66] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [66] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [158] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [158] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [136] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [136] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [160] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [160] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [29] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [29] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [92] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [92] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [53] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [53] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [14] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [14] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [195] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [195] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [114] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [114] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [67] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [67] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [141] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [141] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [137] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [137] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [161] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [161] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [32] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [32] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [93] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [93] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [54] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [54] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [15] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [15] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [196] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [196] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [115] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [115] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [68] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [68] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [144] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [144] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [138] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [138] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [163] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [163] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [33] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [33] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [94] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [94] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [55] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [55] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [17] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [17] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [198] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [198] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [116] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [116] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [69] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [69] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [145] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [145] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [139] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [139] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [164] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [164] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [34] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [34] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [95] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [95] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [56] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [56] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [1] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [1] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [199] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [199] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [119] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [119] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [70] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [70] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [146] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [146] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [121] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [121] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [165] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [165] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [35] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [35] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [99] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [99] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [59] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [59] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [2] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [2] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [180] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [180] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [102] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [102] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [71] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [71] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [147] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [147] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [122] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [122] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [167] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [167] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [36] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [36] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [82] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [82] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [41] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [41] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [3] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [3] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [181] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [181] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [103] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [103] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [72] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [72] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [149] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [149] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [123] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [123] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [168] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [168] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [37] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [37] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [83] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [83] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [42] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [42] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [4] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [4] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [183] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [183] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [104] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [104] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [73] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [73] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [150] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [150] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [124] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [124] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [172] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [172] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [38] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [38] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [85] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [85] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [43] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [43] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [5] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [5] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [184] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [184] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [106] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [106] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [74] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [74] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [151] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [151] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [125] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [125] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [173] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [173] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [39] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [39] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [87] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [87] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [46] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [46] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [8] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [8] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [186] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [186] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [107] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [107] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [75] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [75] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [152] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [152] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [126] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [126] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [175] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [175] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [22] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [22] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [88] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [88] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [49] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [49] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [16] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [16] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [189] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [189] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [108] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [108] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [76] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [76] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [153] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [153] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [127] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [127] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [176] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [176] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [23] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [23] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [89] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [89] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [50] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [50] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [18] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [18] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [191] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [191] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [110] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [110] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [77] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [77] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [154] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [154] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [128] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [128] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [177] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [177] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [27] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [27] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [90] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [90] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [51] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [51] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [19] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [19] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [193] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [193] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [117] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [117] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [78] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [78] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [155] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [155] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [129] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [129] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [178] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [178] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [30] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [30] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [96] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [96] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [52] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [52] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [197] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [197] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [118] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [118] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [79] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [79] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [159] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [159] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [131] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [131] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [179] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [179] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [31] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [31] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [97] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [97] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [57] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [57] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [98] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [98] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [58] MatStashScatterBegin_Private(): No of messages: 0
>>> > > > > [58] MatAssemblyBegin_MPIAIJ(): Stash has 0 entries, uses 0
>>> mallocs.
>>> > > > > [104] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125;
>>> storage space: 3238253 unneeded,493497 used
>>> > > > > [104] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [104] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 12
>>> > > > > [104] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [4] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125; storage
>>> space: 3197999 unneeded,533751 used
>>> > > > > [4] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [4] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 13
>>> > > > > [4] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [106] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125;
>>> storage space: 3243809 unneeded,487941 used
>>> > > > > [106] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [106] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 12
>>> > > > > [106] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [144] MatAssemblyEnd_SeqAIJ(): Matrix size: 81124 X 81124;
>>> storage space: 3243446 unneeded,488258 used
>>> > > > > [144] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [144] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 11
>>> > > > > [144] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81124) < 0.6. Do not use CompressedRow routines.
>>> > > > > [123] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125;
>>> storage space: 3237359 unneeded,494391 used
>>> > > > > [123] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [123] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 12
>>> > > > > [123] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [173] MatAssemblyEnd_SeqAIJ(): Matrix size: 81124 X 81124;
>>> storage space: 3245082 unneeded,486622 used
>>> > > > > [173] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [173] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 12
>>> > > > > [173] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81124) < 0.6. Do not use CompressedRow routines.
>>> > > > > [85] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125;
>>> storage space: 3217795 unneeded,513955 used
>>> > > > > [85] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [85] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 12
>>> > > > > [85] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [6] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125; storage
>>> space: 3208633 unneeded,523117 used
>>> > > > > [6] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [6] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 13
>>> > > > > [6] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [185] MatAssemblyEnd_SeqAIJ(): Matrix size: 81124 X 81124;
>>> storage space: 3209020 unneeded,522684 used
>>> > > > > [185] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [185] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 12
>>> > > > > [185] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81124) < 0.6. Do not use CompressedRow routines.
>>> > > > > [108] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125;
>>> storage space: 3216305 unneeded,515445 used
>>> > > > > [108] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [108] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 12
>>> > > > > [73] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125;
>>> storage space: 3201643 unneeded,530107 used
>>> > > > > [73] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [73] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 13
>>> > > > > [73] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [146] MatAssemblyEnd_SeqAIJ(): Matrix size: 81124 X 81124;
>>> storage space: 3234040 unneeded,497664 used
>>> > > > > [146] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [146] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 11
>>> > > > > [146] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81124) < 0.6. Do not use CompressedRow routines.
>>> > > > > [127] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125;
>>> storage space: 3243435 unneeded,488315 used
>>> > > > > [127] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [127] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 12
>>> > > > > [127] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [177] MatAssemblyEnd_SeqAIJ(): Matrix size: 81124 X 81124;
>>> storage space: 3249858 unneeded,481846 used
>>> > > > > [177] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [177] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 12
>>> > > > > [177] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81124) < 0.6. Do not use CompressedRow routines.
>>> > > > > [27] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125;
>>> storage space: 3207727 unneeded,524023 used
>>> > > > > [27] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [27] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 13
>>> > > > > [27] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [87] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125;
>>> storage space: 3220647 unneeded,511103 used
>>> > > > > [87] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [87] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 12
>>> > > > > [87] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [54] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125;
>>> storage space: 3197939 unneeded,533811 used
>>> > > > > [54] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [54] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 13
>>> > > > > [54] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [8] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125; storage
>>> space: 3179441 unneeded,552309 used
>>> > > > > [8] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [8] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 13
>>> > > > > [8] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [187] MatAssemblyEnd_SeqAIJ(): Matrix size: 81124 X 81124;
>>> storage space: 3197890 unneeded,533814 used
>>> > > > > [187] MatAssemblyEnd_SeqAIJ(): Number of mallocs during
>>> MatSetValues() is 0
>>> > > > > [187] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 13
>>> > > > > [187] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81124) < 0.6. Do not use CompressedRow routines.
>>> > > > > [108] MatCheckCompressedRow(): Found the ratio (num_zerorows
>>> 0)/(num_localrows 81125) < 0.6. Do not use CompressedRow routines.
>>> > > > > [74] MatAssemblyEnd_SeqAIJ(): Matrix size: 81125 X 81125;
>>> storage space: 3200381 unneeded,531369 used
>>> > > > >
>>> > > > > <ex1.c><inp.log>
>>> > > >
>>> > > >
>>> > >
>>> > >
>>> > > <1_Warning.txt>
>>> >
>>> >
>>> > <ex1.c><makefile>
>>>
>>>
>>
>
>
> --
> What most experimenters take for granted before they begin their
> experiments is infinitely more interesting than any results to which their
> experiments lead.
> -- Norbert Wiener
>
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