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<div class="moz-cite-prefix">Le 23/04/2015 23:51, Stéphane Mottelet
a écrit :<br>
</div>
<blockquote cite="mid:55396964.7030103@utc.fr" type="cite">Hello,
<br>
<br>
I am currently working on a project where Scilab code is
automatically generated, and after many code optimization, the
remaining bottleneck is the time that Scilab spends to execute
simple code like this (full script (where the vector has 839
lines) with timings is attached) :
<br>
<br>
M1_v=[v(17)
<br>
v(104)
<br>
v(149)
<br>
-(v(18)+v(63)+v(103))
<br>
-(v(18)+v(63)+v(103))
<br>
v(17)
<br>
...
<br>
v(104)
<br>
v(149)
<br>
]
<br>
<br>
This kind of large vectors are the used to build a sparse matrix
each time the vector v changes, but with a constant sparsity
pattern. Actually, the time spent by Scilab in the statement
<br>
<br>
M1=sparse(M1_ij,M1_v,[n1,n2])
<br>
<br>
is negligible compared to the time spent to build f M1_v...
<br>
<br>
I have also noticed that if you need to define such a matrix with
more that one column, the time elapsed is not linear with respect
to the number of columns: typically 4 times slower for 2 columns.
In fact the statement
<br>
<br>
v=[1 1
<br>
...
<br>
1000 1000]
<br>
<br>
is even two times slower than
<br>
<br>
v1=[1
<br>
...
<br>
1000];
<br>
v2=[1
<br>
....
<br>
1000];
<br>
v=[v1 v2];
<br>
<br>
So my question to users who have the experience of dynamic link of
user code : do you think that using dynamic link of compiled
generated C code could improve the timings ?
<br>
Mais apriori je ne fais rien qui soit OS dependant...<br>
</blockquote>
As your code is generated it should effectively a good idea to
generate C code and use incremental linking (once the code has been
compiled and link you can expect a speed factor around 100 times.
But the compilation may be slow. So using dynmaic linking is a very
good idea if your generated code has to be run many times.<br>
Serge<br>
<blockquote cite="mid:55396964.7030103@utc.fr" type="cite">In
advance, thanks for your help !
<br>
<br>
S.
<br>
<br>
<br>
<br>
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</blockquote>
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