Le 18/10/2018 à 14:09, Clément DAVID a écrit :
Hello,
My 2cents, this is probably a poor man’s approach but Xcos offers vec2var /
var2vec functions that encode in a double vector any Scilab datatypes passed as
arguments. The encoding duplicates the data in memory so there might be some
overhead.
Er, I tried var2vec, but it does not work with structures:
--> typeof(t)
ans =
st
--> var2vec(t)
var2vec: Wrong type for input argument #1: Double, Integer, Boolean,
String or List type.
Arghh... so var2vec does not work for any datatype right?
Antoine
On my machine, I have these timings using the attached script (Antoine’s one
edited):
save list of syslins: 1.361704
save list of vec[]: 0.056788
save var2vec(list of syslins): 0.014411
Discarding hdf5 groups creation is a huge performance win but remove any way to
create clean hdf5 (eg. to address subgroups directly).
Thanks,
--
Clément
From: users <[email protected]> On Behalf Of Arvid Rosén
Sent: Tuesday, October 16, 2018 1:01 PM
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Subject: Re: [Scilab-users] HDF5 save is super slow
From: users <[email protected]<mailto:[email protected]>> on behalf of
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Date: Tuesday, 16 October 2018 at 09:53
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<[email protected]<mailto:[email protected]>>
Subject: Re: [Scilab-users] HDF5 save is super slow
Couldn't you create your own atom package that restore this raw memory dump for
scilab 6.0?
I understand why we moved away from this model, but it seems to be key for you.
There is always a trade-off between portability (and robustness) and raw
speed...
Yeah, if that was possible, I would certainly do it. We already have a bunch of
C/C++ binaries that we compile and link dynamically, but for that to be easy to
implement, I guess the lists and structures need to be stored linearly in one
consecutive chunk of memory. I don’t know if that is the case. Anyone? C++
integrations and gateways are very poorly documented at the moment.
Otherwise, I would need to do some recursive implementation, that handles a
bunch of different object types. Sounds painful.
Cheers,
Arvid
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