On Mon, May 9, 2016 at 1:15 AM, Ford Ox <[email protected]> wrote: > I have checked the link and read the article. Am I right that the parallel > accelerator basically uses C code instead of julia to do the computation? > That would be kinda shame dont you think?
No I don't think so. IIUC it uses C for the threading API, it even has a backend using the julia threading API. (And the julia threading API is very incomplete and experimental). And in general this is not so different from julia generating LLVM IR (especially since LLVM has a C backend). Generating C is just usually not the as efficient as generating LLVM IR since you'll have parser overhead, much less flexible and expressive, unless, as in this case, the function/API is in C. > > Dne pondělí 9. května 2016 7:00:38 UTC+2 Christian Peel napsal(a): >> >> > The usual solution is to devectorized your code and to use loops (except >> > for matrix multiplication if you have large matrices). >> >> I am hopeful that ParallelAccelerator.jl [1][2] or similar projects can >> enable fast vectorized Julia code >> >> [1] https://github.com/IntelLabs/ParallelAccelerator.jl >> [2] http://julialang.org/blog/2016/03/parallelaccelerator >> >> On Sun, May 8, 2016 at 3:37 PM, feza <[email protected]> wrote: >>> >>> I mean the revised script runs just as fast if not a tad faster with the >>> latest master as it does on 0.4.5 : ) >>> >>> >>> On Sunday, May 8, 2016 at 5:20:08 PM UTC-4, Patrick Kofod Mogensen wrote: >>>> >>>> Same as v0.4, or same as before you changed the code? >>>> >>>> On Sunday, May 8, 2016 at 8:55:00 PM UTC+2, feza wrote: >>>>> >>>>> roughly the same speed. >>>>> >>>>> On Sunday, May 8, 2016 at 2:44:19 PM UTC-4, Patrick Kofod Mogensen >>>>> wrote: >>>>>> >>>>>> out of curiosity, what about v0.5? >> >> >> >> >> -- >> [email protected]
