I’m using Julia as framework for simulation of physical systems and prototyping for signal-processing and control algorithms. Of course, the latter should eventually run on some embedded hardware (in my case, it will be an ARM architecture). As I see it, making Julia code (I intentionally don’t say…

Check out “Transpiling Julia to C – The LLVM-CBackend”, not sure if this is still working: https://juliacomputing.com/blog/2016/03/10/j2c-announcement.html

Thanks for the hint; I had already read the mentioned post before though. Anyone tested this with a post-1.0 release? What I don’t like is that going from LLVM IR back to C is like a “step backwards”. After all, LLVM is a compiler, and its IR is a representation that is closer to the final machine …

My recommendations are to, first, drop options 1 and 5. Drop 1 because it sucks. Drop 5 because it is impossible on resource-constrained hardware. What I think we really should strive for is some mixture of options 2, 3, 4, and 6. Specifically: For each target, have some sort of bootstrapping cod…

[image] jpsamaroo: Drop 5 because it is impossible on resource-constrained hardware. I disagree, we are doing it in our university lab. See Readme and documentation in our repo https://gitlab.control.lth.se/labdev/LabConnections.jl

OP mentioned he was going to use an ARM architecture, which is what we use (beaglebone), so I would say it’s certainly an option to consider.

[image] jpsamaroo: Regular users don’t have to know much about embedded programming […] That’s one major benefit of the entire idea. Thanks for mentioning it; I somehow forgot. One example that possibly illustrates my “vision”: optimisation-based control. This can be online machine-learning …

Most ARM chips couldn’t handle Linux though. The BeagleBone uses an ARM chip which is a member of the Cortex-A line, which yes, often is deployed with Linux or another full-fat OS running on it. However, most of the ARM chips I have at home are of the Cortex-M variety, which could hardly run a decen…

If you’re primarily interested in Linux-capable ARM architectures, then that support already exists within LLVM and many of the libraries that Julia relies on (including Julia itself). However, other than improving/adding ARM support to those libraries, there’s “not much else” that’s needed to get J…

Thanks for all the contributions so far. I don’t want to solve exactly one problem/task that I currently have. It should be a rather generic discussion on whether there is enough benefit in creating easy ways of bringing Julia to any kind of MCU, and if so, how this could be achieved. @jpsamaroo , y…

Bring Julia code to embedded hardware (ARM)

Specific Domains Maker

jpsamaroo January 23, 2019, 9:14pm 6

By “resource-constrained”, I mean something incapable of running Linux, like an Arduino

Hardware hackers domain?

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Bring Julia code to embedded hardware (ARM)

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