Like this substantial “microcontroller board” that actually has 64MB of RAM for $9
And this monster server with 64 cores for the price of a typical gaming machine.
Debians next release will include RISCV as an architecture.
It would be amazing to be running algorithms for processing data on little riscV boards running Julia. Just saying. I’m sure someone is working on this, any luck so far?
I’d love to play around with RISC-V, but unfortunately I don’t have a board/chip with one
However, I have recently gotten a Teensy 4.0, for which I’m slowly preparing the basic necessities (such as TeensyLoaderCLI.jl, which is a wrapper around their loading application) for development for. The basic workflow should be the same for all of these boards - however, that also means the challenges (such as allocation, lack of a runtime etc) are also the same.
It’s also important to note that there’s a big difference between running the Julia runtime (the existing one) on an OS that runs on RISC-V, versus running Julia code (without an OS) baremetal on the chip. The former is what @alexfanqi is doing; the latter is what I’m interested in.
I’d love to link the recording directly, but seems there has gone something wrong with the upload to YouTube - the video isn’t up yet. It’s still available as part of Day 3, 26-100, around the 5:30 hour mark if I’m not mistaken.
That “microcontroller board” in my first link actually runs Linux for RISC-V, it’s more similar to a RPi zero, so I do think the first steps should be getting the full runtime running under Linux as that’s likely much easier. Though I love that you’re working on baremetal as well!
Yeah, with an OS everything is much easier - and if the fork linked above is any indication, supporting RISC-V (provided there is room for CI and testing equipment/OS/time available) should be much easier than baremetal support. Though the former will obviously help the latter too
It almost certainly won’t. I don’t see any actual specs, but they definitely aren’t on nearly as small a transistor. I’d guess the frequency of their cores is probably <1GHZ for the 64 bit one, and it will be pretty bandwidth starved (it looks like dual channel memory which is not a lot for 64 cores).
I wouldn’t be surprised if we get tier 3 support by the end of the year. Tier 2 support mostly depends on when you can actually buy a powerful enough chip at a reasonable price to run CI. Given how fragmented Risc-V is, it might take a while for tier 2 support (especially since the architecture is pretty fragmented with optional extensions, so CI for one risc-v chip mostly means that julia works on that one chip).
It would be really nice to have some RISC-V sbc products for robotics and educational purposes with Julia running on the board under Debian Linux, so I look forward to that. Yes you can do it with ARM today but there’s a certain amount of problematic semi proprietary stuff that holds ARM platforms back a bit.
Right now my son is doing robotics in middle school and most of it is in RobotC which is fine but a Julia based solution would be really great. I may have to look into what I can do today with Julia on the platform he’s using.
Rather than create another post about RISC-V, I thought I’d just resurrect this one, since it has relevant context.
I really just want to check if I have missed something about the (small) effort to make Julia build on RISC-V targets - up thread, there’s some enthusiastic predictions that “Julia might make Tier-3 by the end of the year”, but as far as I can see, even at that point, alexfanqi’s fork of Julia hadn’t been active for almost a year (the last commit in it is still from Dec 2022), despite getting pretty close to having things work at that point.
To be clear, I’m not saying that people should be spending lots of effort on making Julia build on RISC-V - but I would like to know if anyone at all is actively working on it, and if so how they’re finding it.
At JuliaCon 2024 someone asked a question about RISCV support. Later that day, I was talking with Thomas Baker (Canada Research Chair in Quantum Computing for Modeling of Molecules and Materials). His group is deeply committed to using Julia for their modeling, moreover they need to use a RISCV platform to run the work. If you know anyone who intends to get Julia running on RISCV, or someone who could help make that happen, please let me know and I will forward the information.