In the benchmarks I use the C++ interfaces of FLINT and
Boost.Multiprecision only for ease of initialization/destruction. The bulk
of the operations is performed using directly the C API of FLINT and GMP.
mp++ itself has some moderate template metaprogramming in place, but for
instance it is currently lacking expression templates support (unlike
fmpzxx), the focus at the moment being on fast low-level primitives
(add/sub/mul/addmul etc.).

Cheers,

  Francesco.

On 12 July 2017 at 15:13, 'Bill Hart' via sage-devel <
sage-devel@googlegroups.com> wrote:

> Beware, Bernard Parisse has just helped me track down why the Flint
> timings for the sparse division only benchmark looked so ridiculously low.
> It turns out that due to an accident of interfacing between Nemo and Flint,
> it was using reflected lexicographical ordering instead of true
> lexicographical ordering. If I had labelled them "exact division", instead
> of "quotient only" and not included the x^(n - 3) term in the benchmark
> itself, the timings could be considered correct (though Giac would also
> have been able to do the computation much faster in that case). But
> unfortunately, this discovery means I had to change the timings for Flint
> for that benchmark. It is now correct on the blog.
>
> The timings for mppp are really good. I'm surprised you beat the Flint
> timings there, since we use pretty sophisticated templating in our C++
> interface. But clearly there are tricks we missed!
>
> Bill.
>
> On Wednesday, 12 July 2017 12:16:33 UTC+2, bluescarni wrote:
>>
>> Interesting timings, they give me some motivation to revisit the dense
>> multiplication algorithm in piranha :)
>>
>> As an aside (and apologies if this is a slight thread hijack?), I have
>> been spending some time in the last few weeks decoupling the multiprecision
>> arithmetic bits from piranha into its own project, called mp++:
>>
>> https://github.com/bluescarni/mppp
>>
>> So far I have extracted the integer and rational classes, and currently
>> working on the real class (arbitrary precision FP).
>>
>> Cheers,
>>
>>   Francesco.
>>
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