Re: Why NDArray is faster than int32NDArray?

[Hamid 2C]

> The data for an NDArray object is stored in an array of native double
> values.
>
> Because of the semantics of integer operations that Octave must
> implement for compatibility with Matlab, the data for an int32NDArray
> object is stored as an array of octave_int32 objects.  The
> multiplication and addition operators for octave_int32 objects must do
> more than just multiply integer values.  They must also handle the
> saturation semantics of Matlab's integer types.
>
> If you want to use native integer multiplication with wrapping
> semantics, you'll have to do something different.
>

Thanks for your reply. Could you please point me to some direction (to
perform native integer multiplication). I would like to have a
function that can be dynamically loaded to Octave and get its
parameters (which are known to be matrices of integer) from the Octave
interpreter.

Hamid