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From: Andy Little (andy_at_[hidden])
Date: 2006-09-09 05:42:01

"Joel de Guzman" <joel_at_[hidden]> wrote in message
> Andy Little wrote:
>> "David Abrahams" <dave_at_[hidden]> wrote in message
>> news:873bb4eg6y.fsf_at_pereiro.peloton...
>>> "Andy Little" <andy_at_[hidden]> writes:
>>>> So all in all I reckon Boost.Fusion is quite cool :-). Of course it is
>>>> probably
>>>> not as good performance wise,
>>> I don't know why you say "of course." Just as STL iteration can be
>>> faster than a hand-coded loop, in MPL we did several things that can
>>> make it quite a bit faster to use the high-level abstractions than to
>>> do the naive hand-coded version. The same thing could be true of Fusion.
>> Looking at the assembler output from my quan::fusion::dot_product function
>> when
>> optimised in VC8, it looks like the optimisation is near perfect FWIW.
>> I love fusion !
> :-)
> You must've missed this: Dan wrote me an email a while back. He
> says: "Interestingly using fusion::fold to do maths on boost::arrays,
> I'm finding that with vc8.0 fusion significantly outperforms the
> standard library equivalent code, presumably as it has more
> information available at compile time, and with inlining it
> effectively unrolls the entire loops."
> I asked Dan to add his tests to libs/fusion/example to showcase
> this favorable "phenomena" :-).

I can't find that, but I am probably looking in the wrong place. Do you mean
Boost CVS?

BTW. By using a tuple rather than an array, then you can use representing zero
and one. IOW zero<T> one<T> .


template <typename TL, typename TR>
zero<typeof(TL() * TR() )>
operator *( Tl , zero<TR>)
    return zero<typeof(TL() * TR() )>();
It should be relatively simple for the compiler to optimise such calcs away.
Very useful for matrix calcs.
(originally suggested by Geoffrey Irving).

Andy Little

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