If there proves to be an interest in that, I will certainly make this 
initial implementation available.

Petr

On Tuesday, December 16, 2014 9:09:59 AM UTC-8, Valentin Churavy wrote:
>
> Petr,
>
> Congratulations for achieving this. Is J FinEALE available somewhere? 
> Maybe as as package?
>
> Valentin
>
> On Tuesday, 16 December 2014 17:52:29 UTC+1, Petr Krysl wrote:
>>
>> I have made some progress in my effort to gain insight into  Julia 
>> performance in finite element solvers.
>>
>> I have compared my solver, J FinEALE, (compute and assemble global FE  
>> matrices and vectors, then solve the sparse system with Julia's sparse 
>> matrix  facilities) with the commercial FEA software Comsol 4.4.
>>
>> If anyone is interested, I could document this in a more comprehensive  
>> fashion, possibly with the paper.  But here goes a real quick rundown:
>>
>> Heat conduction, nonzero essential boundary conditions, nonzero internal 
>> heat generation rate.   
>> Mesh of 2 million linear triangles.  1,000,000 degrees of freedom.
>> The mesh generation and kickoff of the simulation (assignment of boundary 
>> conditions and such) is done by the solver in a separate step, so that is 
>> not counted towards the total time spent  computing in J FinEALE  either.
>>
>> J FinEALE: 20.6 seconds
>> Comsol 4.4 w/ PARDISO: 16 seconds
>> Comsol 4.4 w/ MUMPS: 22 seconds
>> Comsol 4.4 w/ SPOOLES: 37 seconds
>>
>> Just for contrast: 
>> Matlab FinEALE: 810 seconds.
>>
>> What I found particularly interesting was what it took  to reduce the 
>> time  for this solution from the initial  rewrite from Matlab (around 86 
>> seconds) to the present performance: identify  features that degrade 
>> performance (declare types!),  code critical bottlenecks with ad hoc 
>> functions.   The critical feature of Julia that made this possible  was the 
>> speed with which it can execute  loops  written entirely in Julia.   There 
>> is no need  to call outside help (ala mex-files, which by the way would be 
>> of no help in this case).
>>
>> Briefly, Julia DELIVERS! Bravo to the development team.
>>
>> Petr
>>
>>
>>

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