[Users] meeting minutes for 2015-08-31
knarf at cct.lsu.edu
Wed Sep 2 09:10:06 CDT 2015
On Wed, Sep 02, 2015 at 10:50:53AM +0200, Ian Hinder wrote:
> I have thought about this a fair amount before. Many thorns use their
> own output routines because Cactus does not provide what they need.
> The Cactus output methods are designed to output grid variables and
> grid arrays, but many thorns would like to output tables of data which
> do not correspond to Cactus variables.
What I was thinking about wasn't grid functions or arrays, but simple
scalars (or lists thereof). Cactus does provide output for those, just
not in HDF5.
> For example, AHFinderDirect and Multipole. PunctureTracker handles
> this by creating Cactus variables for its data. The down-side to this
> is that all the "trackers" are always output, leading to a very large
> number of columns in the ascii output, making it impossible for a
> human to understand without tedious column-counting.
I agree that outputting invalid data is wasteful. The same happens for
> Multipole cannot use this mechanism, because it wants to write ascii
> files with different names for different l,m,r,var combinations.
Indeed. But maybe that's not a good choice to begin with. I for my part
would rather have all data in one file. It would make such an ASCII file
unreadable, but I rarely open them in an editor anyway.
> HDF5 output of grid arrays is very immature, and rarely does what you
> want (e.g. it usually creates one dataset per iteration, making
> reading the file very tedious).
I am not sure about all grid arrays (simply didn't think hard enough
about it), but something like scalar variables and groups thereof should
be 'simple' enough to be output as time series, as one scalar series per
dataset, grouped inside hdf5.
> Instead, I think there should be a Cactus mechanism for outputting
> "tables" of data to "files". These tables would have named "columns",
> and the "files" could be real ASCII files, or extensible datasets in
> HDF5 files. The "rows" of the tables would correspond to output
Up to here this is scalar output as we have it.
> The data would not have to correspond to Cactus variables.
I think it would be better to make them such. The output routines would
need to be a bit cleverer when it comes to their output.
> Output would happen via aliased function calls. Probably we would
> have an initial call to "register" the output table, and subsequent
> calls to add to it.
So far the workflow was different. You don't register variables to be
output. You register variables, and the output thorns decide what gets
output (using parameters). This seems cleaner to me, better separated.
If this mechanism is missing something, we could think about adding it.
What I can think of immediately are two things:
- provide a way to specify 'column names' for each variable
This could either be done via tags, and/or via a new CCTK function
if we think we need to change this at runtime
- provide a way to specify validity of a variable - such that invalid
data isn't output (by default)
Designing this might be a little harder. We should avoid extra calls
just for this. One possibility would be an extra "valid" state for
each variable. But that doubles the number of variables and wouldn't
work for arrays anyway where only part of it might be valid, and part
is not. Leaving arrays aside for a moment, and assuming we would leave
the default of this 'state' to 'valid', we could provide a CCTK call
for thorns to specify that certain variables do not contain valid data
at a given time step. This would be collected as list (of variable
ids), and can be used by output thorns.
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