I would like to know what Julia developers may have to share about Julia development on apple silicon (M1) machines. What is nice, what is wrong, is it possible to use GLMakie, multi-threading perfs and so on…

As soon as native Linux is usable for daily use (should be soon since I wouldn’t need GPU acceleration), I’d like to run some Julia benchmarks. Most of my simulations can easily use many threads but don’t scale well because they saturate memory bandwidth. But at 400 GB/s, the M1 Max has 8x the me…

[image] LaurentPlagne: What is nice Building Julia from scratch takes 4 minutes total! When it works, it’s very snappy. [image] LaurentPlagne: what is wrong https://github.com/JuliaLang/julia/issues/41440 Darwin/ARM64: Julia freezes on nested `@threads` loops · Issue #41820 · JuliaL…

This is exactly why I am interested by this machine that overcomes my natural reluctance to closed OS as a Linux user. The (announced) CPU memory bandwidth is 20x faster than what I measure on my laptop (20GBs). It may be even more impressive considering perf/watt if this kind of perf can be achieve…

Thank you very much for your explanations ! I guess that, solving this issues may improve the robustness and quality of Julia’s implementation. In particular, the threading issues may reveal weak assumptions and help to improve the heterogeneous cores management that seems to become the new stand…

[image] LaurentPlagne: This is exactly why I am interested by this machine that overcomes my natural reluctance to closed OS as a Linux user. The (announced) CPU memory bandwidth is 20x faster than what I measure on my laptop (20GBs). I just tried STREAMBenchmark.jl on my M1 and got 90 GB/s f…

Hi @Elrod , we should ship in to get you the M1 Max model :wink: You are comparing future server architectures with an available laptop : again, I think that the perf/watt (or bandwidth/watt) is the most relevant metric to consider.

Looks like I have been too optimistic about Makie: https://github.com/JuliaPlots/GraphMakie.jl/issues/34 https://github.com/JuliaLang/julia/issues/42624 These appear to be all related to https://github.com/JuliaLang/julia/issues/41440 . There is a path forward to address the problem, but someone h…

Is it a a problem with Julia implementation or a LLVM bug ?

Yeah, unfortunately there doesn’t seem to be any competition there at the moment. #41440 problems are pretty frequent at the moment. Personally, I assumed that the threading deadlocks aren’t due to heterogenous cores, but the weaker memory model of ARM (vs x86) + the massive out of order of the M1…

I see, your referring to addition of barriers like in these threads [image] C++ Memory Model: Migrating from X86 to ARM Over the past years, we have seen a shift in processors from the previously dominant x86 architecture to the more energy-efficient (and often cheaper) ARM architecture…

Apple M1, M1 pro M1 Max and Julia developpers

Offtopic

LaurentPlagne October 31, 2021, 8:43am 16

If your assumption is correct, should this weaker memory model also affect Julia execution when running on a linux parallel VM ?

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Apple M1, M1 pro M1 Max and Julia developpers

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