[Nek5000-users] element order range
nek5000-users at lists.mcs.anl.gov
nek5000-users at lists.mcs.anl.gov
Tue Sep 14 13:43:47 CDT 2010
Stefan,
Thanks for the offer. If you'd like to look, I put the relevant files in a .tar.gz file at
http://michaelasprague.com/couette_scale.tar.gz
It's fairly simple. The dimensions are (Lx,Ly,Lz) = (6,5,1) with periodic BCs in x and y. At z = 0, (ux,uy,uz) = (0,0,0) and at z = 1, (ux,uy,uz)=(1,0,0).
The domain is discretized as (Nx,Ny,Nz)=(24,16,16), and N = 13.
Please let me know if you have any suggestions for parameter improvements and/or need more information.
--Mike
On Sep 14, 2010, at 11:37 AM, <nek5000-users at lists.mcs.anl.gov> wrote:
> Mike:
>
> If you're ready with the NEK case we're more than happy to have a look at it.
> Sometimes it can get a little bit tricky to find the right solver parameters to get the most out of it.
>
> We're very interested into comparisons like this!
>
> -Stefan
>
>
> ----- Original Message -----
> From: nek5000-users at lists.mcs.anl.gov
> To: nek5000-users at lists.mcs.anl.gov
> Sent: Tuesday, September 14, 2010 12:31:40 PM GMT -06:00 US/Canada Central
> Subject: Re: [Nek5000-users] element order range
>
> Paul,
>
> Thanks for that info and for the document. Both are very helpful.
>
> There's interest here in using OpenFOAM (second-order finite-volume), and I'm interested to see how Nek does in a head to head comparison. We're using turbulent planar Couette flow as our comparison test case with Re = 8000 (See, e.g. Sullivan et al. (JFM 404, 2000). We're looking at accuracy for a given number of grid points and scalability over 16-1024 cores.
>
> I'll let you know how things turn out with the comparison.
>
> --Mike
>
>
> On Sep 14, 2010, at 10:33 AM, <nek5000-users at lists.mcs.anl.gov> wrote:
>
>>
>> Hi Mike,
>>
>> I've run with N=120 in the past and just this past
>> week was running w/ N=64. (I had to bump up a couple
>> of parameters past the 40 or 50 mark to do so.)
>>
>> Stefan has run the Pn-Pn variant with N=1 (lx1=2).
>>
>> lx1=6-12 is the general sweet spot for the code because
>> of the way the operators are evaluated...
>>
>> When comparing to a low-order code it's generally best
>> to compare for an equal number of gridpoints - i.e.,
>> roughly the same resolution. The main reason for this is that
>> higher order does not buy you increased resolution. (The
>> Nyquist sampling theorem dictates at least 2*k points are
>> required to resolve a signal of wavenumber k.) What the
>> high-order method gains is improved accuracy for the modes
>> that _are_ resolved. My goal is to try to ensure that
>> the performance is comparable to a low-order code - i.e.,
>> that costs are not inordinate w/ N.
>>
>> What type of comparison did you have in mind ? You might
>> be interested in: www.mcs.anl.gov/~fischer/users.pdf
>> which is a work-in-progress.
>>
>> Paul
>>
>>
>>
>> On Tue, 14 Sep 2010, nek5000-users at lists.mcs.anl.gov wrote:
>>
>>> Hello All.
>>>
>>> I am doing some tests of Nek5000 against a low-order code. Under "Performance tips", it is recommended to "design your resolution (mesh) for N=7 or N=9"
>>>
>>> Are there any limitations on the range of values for N? For example, what is the smallest N and largest N that the code can/has been run with? What are the limitations with running at, say, N = 16?
>>>
>>> Thanks.
>>> --Mike
>>>
>>>
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