I'm not sure if this is mentioned explicitly in the links from Ivar, but: we have only tested on ARMv7 (Samsung Chromebooks with Exynos 5 processors). I don't know if the LLVM JIT even supports anything lower than v7.
As we get closer to generalized static compilation capability, cross-targeting should become more feasible. Clang supports ARMv5, so that is probably the practical limit (leaving aside memory requirements, although "embedded" covers a wide spectrum these days). On Tue, Nov 18, 2014 at 1:36 PM, Ivar Nesje <[email protected]> wrote: > Where did you look? > > There has been lots of discussion on using Julia with ARM, and we even > have a README.arm.md > <https://github.com/JuliaLang/julia/blob/master/README.arm.md> in our > main repository describing the current status and problems. > > > > kl. 18:11:23 UTC+1 tirsdag 18. november 2014 skrev steve ras følgende: >> >> I would like to implement an algorithm, written in Julia, on a ARM >> processor. I've looked around and haven't found anything about anybody >> doing this. Does anybody know of any work to run Julia on an arm processor, >> using something like openembeded? >> Thanks for you help, >> >> Steve >> >
