[Numpy-discussion] where are the benefits of ldexp and/or "array times 2"?
Francesc Alted
faltet@pytables....
Fri May 22 05:16:55 CDT 2009
A Friday 22 May 2009 11:55:31 Gregor Thalhammer escrigué:
> dmitrey schrieb:
> > Hi all,
> > I expected to have some speedup via using ldexp or multiplying an
> > array by a power of 2 (doesn't it have to perform a simple shift of
> > mantissa?), but I don't see the one.
> >
> > # Let me also note -
> > # 1) using b = 2 * ones(N) or b = zeros(N) doesn't yield any speedup
> > vs b = rand()
> > # 2) using A * 2.0 (or mere 2) instead of 2.1 doesn't yield any
> > speedup, despite it is exact integer power of 2.
>
> On recent processors multiplication is very fast and takes 1.5 clock
> cycles (float, double precision), independent of the values. There is
> very little gain by using bit shift operators.
...unless you use the vectorization capabilities of modern Intel-compatible
processors and shift data in bunches of up to 4 elements (i.e. the number of
floats that fits on a 128-bit SSE2 register), in which case you can perform
operations up to a speed of 0.25 cycles/element. Indeed, that requires
dealing with SSE2 instructions in your code, but using latest GCC, ICC or MSVC
implementations, this is not that difficult.
Cheers,
--
Francesc Alted
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