I understand that multiple communicators may be problematic, but I still want 
to know how much time one single call to assemble takes, regardless the number 
of CPUs. And even though it sure is interesting to know the timings of each 
individual process, the total time is still what is being used for benchmarking 
and to measure scaling.

Could it be an option to have a "list_timings_single_communicator", that works 
just like it used to? I’ve looked at the code, but honestly I find it a tad 
hard to follow what is actually going on between all the loggings and the 
logmanagers. Right now it is easier for me to write a few extra timing lines in 
Python than it is to manipulate list_timings tables.

+1 for exporting timing data to XML files.

Mikael


On 21 Aug 2014, at 15:33, Garth N. Wells <[email protected]> wrote:

> 
> 
> On Thu, 21 Aug, 2014 at 2:18 PM, Mike Welland <[email protected]> wrote:
>> Could list_timings() return a data structure so that the user can implement 
>> their own statistics across processors (eg: Max / min & mean)?
> 
> This is worth thinking about. We've been considering something related, which 
> is exporting timing data to XML files so a user can manipulate and plot the 
> data.
> 
> Garth
> 
> 
>> On Thu, Aug 21, 2014 at 7:26 AM, Garth N. Wells <[email protected]> wrote:
>>> On Mon, 18 Aug, 2014 at 8:50 PM, Mikael Mortensen 
>>> <[email protected]> wrote:
>>>> Hi
>>>> In the latest version of dolfin list_timings() is printing out one table 
>>>> of results for each processor and complete timings are not reported. I 
>>>> just wanted to know if this has been a conscious choice or whether it is a 
>>>> bug? Until recently it printed just one table even in parallel. Not quite 
>>>> sure when it changed though…
>>> It's a choice, but not an optimal solution. We can't assume that all 
>>> objects are on the same communicator, so we need something cleverer for 
>>> reporting timing in parallel.
>>> Garth
>>>> Best regards
>>>> Mikael
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