hi Erik,

You could try the ones at

https://bitbucket.org/ianhinder/cactusbench/src/faea4e13ed4232968e81edd1bbc80519198fe2b2/examples/ML_BSSN_Test/benchmark/?at=master

I haven't updated them in a while, but hopefully the ET is sufficiently 
backward compatible for them to still work.

-- 
Ian Hinder
http://members.aei.mpg.de/ianhin

> On 4 Jul 2015, at 17:04, Erik Schnetter <[email protected]> wrote:
> 
>> On Sat, Jul 4, 2015 at 10:21 AM, Ian Hinder <[email protected]> wrote:
>> 
>>> On 3 Jul 2015, at 22:38, Erik Schnetter <[email protected]> wrote:
>>> 
>>> I ran the Simfactory benchmark for ML_BSSN on both the current version and 
>>> the "rewrite" branch to see whether this branch is ready for production 
>>> use. I ran this benchmark on a single node of Shelob at LSU. In both cases, 
>>> using 2 OpenMP threads and 8 MPI processes per node was fastest, so I am 
>>> reporting these results below. Since I was interested in the performance of 
>>> McLachlan, this is a unigrid vacuum benchmark using fourth order 
>>> differencing.
>>> 
>>> One noteworthy difference is that dissipation as implemented in the 
>>> "rewrite" branch is finally approximately as fast as thorn Dissipation, and 
>>> I have thus used this option for the "rewrite" branch.
>>> 
>>> Here are the high-level results:
>>> 
>>> current: 3.03136e-06 sec per grid point
>>> rewrite: 2.85734e-06 sec per grid point
>>> 
>>> That is, the rewrite branch is about 5% faster.
>> 
>> Hi Erik,
>> 
>> That is very reassuring!  However, for production use, I would be more 
>> interested in 6th or 8th order finite differencing (where the advection 
>> stencils become very large), and with Jacobians.  If 8th order with 
>> Jacobians is at least a similar speed with the rewrite branch, then I would 
>> be happy with switching.
> 
> Ian
> 
> Do you want to suggest a particular benchmark parameter file?
> 
> -erik
> 
> -- 
> Erik Schnetter <[email protected]>
> http://www.perimeterinstitute.ca/personal/eschnetter/
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