[petsc-dev] MatAssembly removes all preallocation info

Kong, Fande fande.kong at inl.gov
Mon Sep 25 11:22:39 CDT 2017


On Mon, Sep 25, 2017 at 10:05 AM, Stefano Zampini <stefano.zampini at gmail.com
> wrote:

> If you know the union of the different sparsity patterns, after you
> preallocate you can set all zeros to use all the entries. This way PETSc
> will not complain about new nonzeros in successive assemblies.
>
>
Thanks, Stefano,

Yes, we are actually using this way right now. We are explicitly setting
zeros to the matrix to stop petsc shrinking the memory.  But we want to
know why we free the extra memory? Yes, we shrink  the memory by moving all
data together to have an efficiency computation. But it is still possible
to not throw away our  preallocated memory space if we  want to use latter.



Fande,



> Il 25 Set 2017 7:01 PM, "Kong, Fande" <fande.kong at inl.gov> ha scritto:
>
>> Hi Matt,
>>
>> Thanks for your reply.
>>
>> The sparsity pattern is slightly different from one Newton iteration to
>> another. We preallocate  enough memory at the beginning, and want to use
>> that memory for the following iterations.
>>
>> Does PETSc accutally free the preallocated (extra) memory? I so cannot
>> use it during the second iteration.
>>
>>
>>
>> Fande,
>>
>> On Mon, Sep 25, 2017 at 9:43 AM, Matthew Knepley <knepley at gmail.com>
>> wrote:
>>
>>> On Mon, Sep 25, 2017 at 11:39 AM, Kong, Fande <fande.kong at inl.gov>
>>> wrote:
>>>
>>>> Hi All,
>>>>
>>>> A matrix is created with the right preallocation, and then MatAssembly
>>>> is called. The preallocation info will be removed. We insert any values
>>>> then, and will encounter an malloc error.
>>>>
>>>> My question is that we was intending to design like this way? Attached
>>>> simple example demonstrates what I am talking about.
>>>>
>>>
>>> Yes, this is the intent. Why are you assembling? Could you use
>>> MAT_ASSEMBLY_FLUSH?
>>>
>>>   Matt
>>>
>>>
>>>>
>>>> Fande,
>>>>
>>>
>>>
>>>
>>> --
>>> 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.proofpoint.com/v2/url?u=http-3A__www.caam.rice.edu_-7Emk51_&d=DwMFaQ&c=54IZrppPQZKX9mLzcGdPfFD1hxrcB__aEkJFOKJFd00&r=DUUt3SRGI0_JgtNaS3udV68GRkgV4ts7XKfj2opmiCY&m=WrDpQnak7wiz1D4Pyx_jvRGpFKeNDwW2WOH8cIlxrP0&s=7NvRav6CET5Eqpsg7MAiCne1LJ1h2RYKf-OgP6trMkE&e=>
>>>
>>
>>
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