Anders Logg wrote:
> On Tue, Apr 22, 2008 at 09:21:48PM +0200, Dag Lindbo wrote:
>> Anders Logg wrote:
>>> On Mon, Apr 21, 2008 at 09:35:30PM +0200, Dag Lindbo wrote:
>>>>>> Why do I care? I'm looking at the current state of the LinearPDE class.
>>>>>> Here, the solution vector is a member function, and the solution
>>>>>> Function is initialized with a reference to this vector. I.e. the
>>>>>> LinearPDE (not the DiscreteFunction) owns the solution vector. This is
>>>>>> of course a problem if the LinearPDE goes out of scope before the
>>>>>> solution function (bug 24). It is also a bit counter-intuitive.
>>>>>>
>>>>>> If it was possible to do an initialization like above, then the solve()
>>>>>> method would simply do
>>>>>> u.init(mesh, form, 1);
>>>>>> GenericVector& x = u.vector();
>>>>>> <solve>
>>>>> There is a member local_vector in DiscreteFunction that could be used
>>>>> for this. If this is nonzero, then the DiscreteFunction owns its data.
>>>>>
>>>>> See if you can figure out a good way for the DiscreteFunction to know
>>>>> that it should take responsibility for the vector here.
>>>>>
>>>> Right... I don't see how to do this without breaking the encapsulation of
>>>> both Function and DiscreteFunction (making LinearPDE friend in both).
>>>> Bundle attached.
>>>>
>>>> Garth, does this look OK?
>>>>
>>>> In essence, the member x is removed from the LinearPDE class. in
>>>> LinearPDE::solve I do
>>>>
>>>>   (...)
>>>>   Vector b;
>>>>   Vector* x = new Vector();
>>>>   (... call solver etc)
>>>>
>>>>   u.init(mesh, *x, a, 1);
>>>>   DiscreteFunction& uu = dynamic_cast<DiscreteFunction&>(*u.f);
>>>>   uu.local_vector = x;
>>>>
>>>> /Dag
>>> Looks like a good temporary solution to me.
>>>
>>> I expect when we're done and happy with the linear algebra classes
>>> (which should be soon), we will have a similar party with the function
>>> classes... :-)
>>>
>> The fact that the pointer to x goes out of scope and trusts the 
>> DiscreteFunction to clean up the vector makes me a bit queasy (this can 
>> probably break in the future, causing a big leak). You should probably 
>> verify independently that nothing broke because of this revised 
>> LinearPDE (but for me it has been working nicely today).
>>
>> On a more general note, I'm pretty happy with the state of the LA now 
>> that op[] is back and the down_cast<Foo> mechanism has been explained.
>>
>> As a benchmark I ran a Inc. Navier-Stokes solver (based on the old 
>> module, which uses a lot of 'manual' LA) and got a modest slowdown:
>> (tip yesterday)    53.071u 6.708s
>> (0.7.2)            50.803u 1.700s
>> It may also be worth mentioning that I got the same numerical values 
>> (for some residual norm) even after hundreds of time steps.
>>
>> /Dag
> 
> ok. It might be possible to find some optimizations when things have
> stabilized.
> 

Try accessing the underlying data type directly and operate on it. It 
will avoid the overhead of virtual function call and more inlining is 
possible.

Garth
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