> Yeah, the Repa fold and sum functions just use the equivalent Data.Vector
> ones. They're not parallelised and I haven't looked at the generated code.
> I'll add a ticket to the trac to fix these, but won't have time to work on it
> myself in the near future.
>
Ok.
Thank you for your help.
On 12/04/2011, at 11:50 PM, Wilfried Kirschenmann wrote:
> surprisingly, when removing the R.force from the code you attached,
> performances are better (speed-up=2). I suppose but I am not sure that
> this allow for loop fusions beetween the R.map ant the R.sum.
>
> I use ghc 7.0.3, Repa 2.0.0.
> Repa and DPH are different projects. The compilation mechanism and approach
> to parallelism is quite different between them. You only need -fvectorise to
> turn on the vectoriser for DPH code. You don't need (or want) -fvectorise for
> Repa programs. DPH is also still at the "research prototy
On 12/04/2011, at 7:32 PM, Wilfried Kirschenmann wrote:
> Hi,
>
> In order to do a performance comparison beetween different approaches for our
> application, I make different implementation of a simple example (computing
> the norm of a vector expression.
> I rely on Repa to do this.
> Howev
Hi,
In order to do a performance comparison beetween different approaches for
our application, I make different implementation of a simple example
(computing the norm of a vector expression.
I rely on Repa to do this.
However, when I tried to build the parallel version (-threaded -fvectorise
-rtso
