Julia on an ARM Processor?

[steve ras]

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

[Ivar Nesje]

Where did you look?

There has been lots of discussion on using Julia with ARM, and we even have a README.arm.md in our main repository describing the current status and problems.

[Viral Shah]

Also see: https://github.com/JuliaLang/julia/issues?q=is%3Aissue+arm+

-viral

[Isaiah Norton]

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).

[Patrick O'Leary]

On Tuesday, November 18, 2014 1:35:39 PM UTC-6, Isaiah wrote:

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).

Going the other direction, I've recently acquired a Nexus 9, and once some OS-level development has been done in the community I'll take a shot at AArch64.

[steve ras]

Thank you all for the answers!

 A colleague found the following link that answered my question:
http://julia-programming-language.2336112.n4.nabble.com/ARM-port-status-td3866.html
(this pointed me to the  README.arm.md)

I was able to get Julia installed on an Nividia Jetson TK1 board. Took some time, but was very simple.

I'm working on getting Julia installed on a Gumstix Duovero computer next :)

Thanks again!

Steve

[cdm]

nice work on the Nvidia Jetson TK1 board !!!

consider adding the ARM Juno board to your

hit list if you have access ( > $5K ... )

   http://www.arm.com/products/tools/development-boards/versatile-express/juno-arm-development-platform.php?intcid=TopNaviR27937

i may take a shot at their virtual platform:

   http://ds.arm.com/ds-5/model/

good luck,

cdm

[cdm]

for the curious ...

   https://developer.nvidia.com/jetson-tk1

best,

cdm