Does Julia based on LLVM auto-vectorize the code? I assume yes
because you specifically mention SIMD design of the data structure.
Have you tried NumPyPy? Development on NumPyPy has not continued, but
it probably would be a better comparison of what PyPy with
auto-vectorization could accomplish
Hi,
I post on this list a message written in PyPy issue tracker
(https://foss.heptapod.net/pypy/pypy/-/issues/3349#note_150255). It is about
some experiments I did on writing efficient implementations of the NBody
problem https://github.com/paugier/nbabel to potentially answer to this article
Thanks both of you for getting back to me, these definitely seem like problems
worth thinking about first. Looking into it, there has actually been some
research already on implementing Polyhedral optimisations in a JIT optimiser,
specifically in JavaScript. It's paper
Hi,
On Thu, 17 Dec 2020 at 23:48, William ML Leslie
wrote:
> The challenge with implementing this in the pypy JIT at this point is
> that the JIT only sees one control flow path. That is, one loop, and
> the branches taken within that loop. It does not find out about the
> outer loop usually
