Le 21 juil. 2011 à 20:15, Maurizio De Cecco a écrit :

> On Thursday21/7/11 2:22 PM, Stéphane Letz wrote:
>> Or you can use LLVM to *directly* generate vector code, as in the following 
>> example, result of some experiments done with Faust and it's LLVM backend:
> 
> 
> I would love to have enough time to implement this :->

This is not completely trivial... it needs to go inside Faust FIR (Faust 
Intermediate Representation) and improve it..... Then some new code have to be 
added in the LLVM backend itself.

> 
> Anyway, under clang/Mac OS X, using the vector types reduced the time spent 
> in simple jmax dsp operator and in the general dsp virtual machine execution 
> to be around 15-18% for some "typical"
> jmax patch. By simple operators i intend the basic signal operations, like 
> multiplication, constants and so on.
> 
> The rest of the time is spent on complex objects, that implements
> specific dsp algorithms.
> 
> This means that the further performance improvements on jmax dsp execution 
> code (other than specific objects), whatever technique used, cannot be higher 
> than around 10%. (OK, as long as this typical patches are really typical, of 
> course).
> 
> Anyway, i repeat the tests on clang/gcc on Mac OS X, and i got, for a given 
> example patch, 30Msamples/seconds for clang with vector extensions, 
> 13Msamples/seconds for gcc with normal code, ad 11 Msamples/second with gcc 
> with vector operators (gcc 4.2, latest apple clang).
> 
> Using -mss2 or -mss3 on Linux improved the performance of the code using the 
> vector extensions but really marginally, leaving it largely slower of the 
> basic code.
> 
> By the way, by vector extensions i intend what is described here:
> http://gcc.gnu.org/onlinedocs/gcc/Vector-Extensions.html
> 
> Maurizio



You should really look at the generated SSE code. Can you paste the result of 
each test on this list?

Thanks.

Stéphane

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