[petsc-users] [Ext] Re: matcreate and assembly issue
Karl Lin
karl.linkui at gmail.com
Fri Jul 3 10:37:28 CDT 2020
Hi, Barry
Thanks for the explanation. Following your tip, I have a guess. We use
MatCreateAIJ to create the matrix, I believe this call will preallocate as
well. Before this call we figure out the number of nonzeros per row for all
rows and put those number in an array, say numNonZero. We pass numNonZero
as d_nnz and o_nnz to MatCreateAIJ call, so essentially we preallocate
twice as much as needed. For the process that double the memory footprint
and crashed, there are a lot of values in both the diagonal and
off-diagonal part for the process, so the temporary space gets filled up
for both diagonal and off-diagonal parts of the matrix, also there are
unused temporary space until MatAssembly, so gradually fill up the
preallocated space which doubles the memory footprint. Once MatAssembly is
done, the unused temporary space gets squeezed out, we return the correct
memory footprint of the matrix. But before MatAssembly, large amount of
unused temporary space needs to be kept because of the diagonal and
off-diagonal pattern of the input. Would you say this is a plausible
explanation? thank you.
Regards,
Karl
On Fri, Jul 3, 2020 at 9:50 AM Barry Smith <bsmith at petsc.dev> wrote:
>
> Karl,
>
> If a particular process is receiving values with MatSetValues() that
> belong to a different process it needs to allocate temporary space for
> those values. If there are many values destined for a different process
> this space can be arbitrarily large. The values are not pass to the final
> owning process until the MatAssemblyBegin/End calls.
>
> If you have not preallocated enough room the matrix actually makes a
> complete copy of itself with extra space for additional values, copies the
> values over and then deletes the old matrix this the memory use can double
> when the preallocation is not correct.
>
>
> Barry
>
>
> On Jul 3, 2020, at 9:44 AM, Karl Lin <karl.linkui at gmail.com> wrote:
>
> Yes, I did. The memory check for rss computes the memory footprint of
> column index using size of unsigned long long instead of int.
>
> For Junchao, I wonder if keeping track of which loaded columns are owned
> by the current process and which loaded columns are not owned also needs
> some memory storage. Just a wild thought.
>
> On Thu, Jul 2, 2020 at 11:40 PM Ernesto Prudencio <EPrudencio at slb.com>
> wrote:
>
>> Karl,
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>> * Are you taking into account that every “integer” index might be 64 bits
>> instead of 32 bits, depending on the PETSc configuration / compilation
>> choices for PetscInt? Ernesto. From: petsc-users
>> [mailto:petsc-users-bounces at mcs.anl.gov <petsc-users-bounces at mcs.anl.gov>]
>> On Behalf Of Junchao Zhang Sent: Thursday, July 2, 2020 11:21 PM To: Karl
>> Lin <karl.linkui at gmail.com <karl.linkui at gmail.com>> Cc: PETSc users list
>> <petsc-users at mcs.anl.gov <petsc-users at mcs.anl.gov>> Subject: [Ext] Re:
>> [petsc-users] matcreate and assembly issue Is it because indices for the
>> nonzeros also need memory? --Junchao Zhang On Thu, Jul 2, 2020 at 10:04
>> PM Karl Lin <karl.linkui at gmail.com <karl.linkui at gmail.com>> wrote: Hi,
>> Matthew Thanks for the reply. However, I don't really get why additional
>> malloc would double the memory footprint. If I know there is only 1GB
>> matrix being loaded, there shouldn't be 2GB memory occupied even if Petsc
>> needs to allocate more space. regards, Karl On Thu, Jul 2, 2020 at
>> 8:10 PM Matthew Knepley <knepley at gmail.com <knepley at gmail.com>> wrote: On
>> Thu, Jul 2, 2020 at 7:30 PM Karl Lin <karl.linkui at gmail.com
>> <karl.linkui at gmail.com>> wrote: Hi, Matt Thanks for the tip last time. We
>> just encountered another issue with large data sets. This time the behavior
>> is the opposite from last time. The data is 13.5TB, the total number of
>> matrix columns is 2.4 billion. Our program crashed during matrix loading
>> due to memory overflow in one node. As said before, we have a little memory
>> check during loading the matrix to keep track of rss. The printout of rss
>> in the log shows normal increase in many nodes, i.e., if we load in a
>> portion of the matrix that is 1GB, after MatSetValues for that portion, rss
>> will increase roughly about 1GB. On the node that has memory overflow, the
>> rss increased by 2GB after only 1GB of matrix is loaded through
>> MatSetValues. We are very puzzled by this. What could make the memory
>> footprint twice as much as needed? Thanks in advance for any insight. The
>> only way I can imagine this happening is that you have not preallocated
>> correctly, so that some values are causing additional mallocs. Thanks,
>> Matt Regards, Karl On Thu, Jun 11, 2020 at 12:00 PM Matthew
>> Knepley <knepley at gmail.com <knepley at gmail.com>> wrote: On Thu, Jun 11, 2020
>> at 12:52 PM Karl Lin <karl.linkui at gmail.com <karl.linkui at gmail.com>> wrote:
>> Hi, Matthew Thanks for the suggestion, just did another run and here are
>> some detailed stack traces, maybe will provide some more insight: ***
>> Process received signal *** Signal: Aborted (6) Signal code: (-6)
>> /lib64/libpthread.so.0(+0xf5f0)[0x2b56c46dc5f0] [ 1]
>> /lib64/libc.so.6(gsignal+0x37)[0x2b56c5486337] [ 2]
>> /lib64/libc.so.6(abort+0x148)[0x2b56c5487a28] [ 3]
>> /libpetsc.so.3.10(PetscTraceBackErrorHandler+0xc4)[0x2b56c1e6a2d4] [ 4]
>> /libpetsc.so.3.10(PetscError+0x1b5)[0x2b56c1e69f65] [ 5]
>> /libpetsc.so.3.10(PetscCommBuildTwoSidedFReq+0x19f0)[0x2b56c1e03cf0] [ 6]
>> /libpetsc.so.3.10(+0x77db17)[0x2b56c2425b17] [ 7]
>> /libpetsc.so.3.10(+0x77a164)[0x2b56c2422164] [ 8]
>> /libpetsc.so.3.10(MatAssemblyBegin_MPIAIJ+0x36)[0x2b56c23912b6] [ 9]
>> /libpetsc.so.3.10(MatAssemblyBegin+0xca)[0x2b56c1feccda] By
>> reconfiguring, you mean recompiling petsc with that option, correct?
>> Reconfiguring. Thanks, Matt Thank you. Karl On Thu, Jun 11,
>> 2020 at 10:56 AM Matthew Knepley <knepley at gmail.com <knepley at gmail.com>>
>> wrote: On Thu, Jun 11, 2020 at 11:51 AM Karl Lin <karl.linkui at gmail.com
>> <karl.linkui at gmail.com>> wrote: Hi, there We have written a program using
>> Petsc to solve large sparse matrix system. It has been working fine for a
>> while. Recently we encountered a problem when the size of the sparse matrix
>> is larger than 10TB. We used several hundred nodes and 2200 processes. The
>> program always crashes during MatAssemblyBegin.Upon a closer look, there
>> seems to be something unusual. We have a little memory check during loading
>> the matrix to keep track of rss. The printout of rss in the log shows
>> normal increase up to rank 2160, i.e., if we load in a portion of matrix
>> that is 1GB, after MatSetValues for that portion, rss will increase roughly
>> about that number. From rank 2161 onwards, the rss in every rank doesn't
>> increase after matrix loaded. Then comes MatAssemblyBegin, the program
>> crashed on rank 2160. Is there a upper limit on the number of processes
>> Petsc can handle? or is there a upper limit in terms of the size of the
>> matrix petsc can handle? Thank you very much for any info. It sounds like
>> you overflowed int somewhere. We try and check for this, but catching every
>> place is hard. Try reconfiguring with --with-64-bit-indices Thanks,
>> Matt Regards, Karl -- 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
>> https://www.cse.buffalo.edu/~knepley/
>> <https://urldefense.com/v3/__http:/www.cse.buffalo.edu/*knepley/__;fg!!Kjv0uj3L4nM6H-I!1KBn92fUc-8pAvJy257WTFoHD80IUf6u5iIhyL_vrliEm3psAK4KAJFCdygnPA$>
>> -- What most experimenters take for granted before they begin their
>> experiments is infinitely more interesting than any results to which their
>> experiments lead. -- Norbert Wiener https://www.cse.buffalo.edu/~knepley/
>> <https://urldefense.com/v3/__http:/www.cse.buffalo.edu/*knepley/__;fg!!Kjv0uj3L4nM6H-I!1KBn92fUc-8pAvJy257WTFoHD80IUf6u5iIhyL_vrliEm3psAK4KAJFCdygnPA$>
>> -- 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 https://www.cse.buffalo.edu/~knepley/
>> <https://urldefense.com/v3/__http:/www.cse.buffalo.edu/*knepley/__;fg!!Kjv0uj3L4nM6H-I!1KBn92fUc-8pAvJy257WTFoHD80IUf6u5iIhyL_vrliEm3psAK4KAJFCdygnPA$>
>> Schlumberger-Private *
>>
>
>
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