Matthew Knepley wrote:
> On Mon, Jul 21, 2008 at 3:50 PM, Garth N. Wells <[EMAIL PROTECTED]> wrote:
>>
>> Anders Logg wrote:
>>> On Mon, Jul 21, 2008 at 01:48:23PM +0100, Garth N. Wells wrote:
>>>> Anders Logg wrote:
>>>>> I have updated the assembly benchmark to include also MTL4, see
>>>>>
>>>>>    bench/fem/assembly/
>>>>>
>>>>> Here are the current results:
>>>>>
>>>>> Assembly benchmark  |  Elasticity3D  PoissonP1  PoissonP2  PoissonP3  
>>>>> THStokes2D  NSEMomentum3D  StabStokes2D
>>>>> -------------------------------------------------------------------------------------------------------------
>>>>> uBLAS               |        9.0789    0.45645     3.8042     8.0736  
>>>>> 14.937         9.2507        3.8455
>>>>> PETSc               |        7.7758    0.42798     3.5483     7.3898  
>>>>> 13.945         8.1632         3.258
>>>>> Epetra              |        8.9516    0.45448     3.7976     8.0679  
>>>>> 15.404         9.2341        3.8332
>>>>> MTL4                |        8.9729    0.45554     3.7966     8.0759  
>>>>> 14.94          9.2568        3.8658
>>>>> Assembly            |         7.474    0.43673     3.7341     8.3793  
>>>>> 14.633         7.6695        3.3878
>>>>>
>>
>> I specified in MTL4Matrix maximum 30 nonzeroes per row, and the results
>> change quite a bit,
>>
>>  Assembly benchmark  |  Elasticity3D  PoissonP1  PoissonP2  PoissonP3
>> THStokes2D  NSEMomentum3D  StabStokes2D
>>
>> -------------------------------------------------------------------------------------------------------------
>>  uBLAS               |        7.1881    0.32748     2.7633     5.8311
>>     10.968         7.0735        2.8184
>>  PETSc               |        5.7868    0.30673     2.5489     5.2344
>>     9.8896          6.069        2.3661
>>  MTL4                |        2.8641    0.18339     1.6628     2.6811
>>     2.8519         3.4843       0.85029
>>  Assembly            |        5.5564    0.30896     2.6858     5.9675
>>     10.622         5.7144        2.4519
>>
>>
>> MTL4 is a lot faster in all cases.
> 
> Now I don't believe the numbers. If you preallocate, we do not do any
> extra processing
> outside of sorting the column indices (which every format must do for
> efficient operations).
> Thus, how would you save any time? If these are all in seconds, I will
> run a 2D Poisson here
> and tell you what I get. It would help to specify sizes with this benchmark :)
>

Take a look at bench/fem/assembly/ for the details.

Garth

>   Matt
> 
>> Garth
>>
>>
>>
>>>> How was the MTL4 matrix intialised? I don't know if it does anything
>>>> with the sparsity pattern yet. I've been intialising MTL4 matrices by
>>>> hand so far with a guess as to the max number of nonzeroes per row.
>>>> Without setting this, the performance is near idenetical to uBLAS. When
>>>> it is set, I observe at least a factor two speed up.
>>>>
>>>> Garth
>>> The same way as all other backends, which is by a precomputed
>>> sparsity pattern. It looks like this is currently ignored in the
>>> MTL4Matrix implementation:
>>>
>>> void MTL4Matrix::init(const GenericSparsityPattern& sparsity_pattern)
>>> {
>>>   init(sparsity_pattern.size(0), sparsity_pattern.size(1));
>>> }
>>>
>>>
>>>
>>> ------------------------------------------------------------------------
>>>
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> 
> 
> 
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