Viewing profile — vchuravy
vchuravy
HN member- Joined
- Tue, Nov 13, 2012, 8:23 PM UTC
- HN karma
- 510
- Public activity
- 100 items
- HN profile
- View on Hacker News ↗
About vchuravy
my public key: https://keybase.io/vchuravy; my proof: https://keybase.io/vchuravy/sigs/By8fTbpAWWH8joWbnzHqn11O361bhajeR7PbdqZ3u9E
Recent public activity
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Comment #48079295
Arrested is not the same as convicted. I lived in Japan for a few years, and I have heard of similar situations to what the article describes. In Japan you can be arrested while an…
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Comment #47081582
My point is if you set JULIA_CPU_TARGET during the docker build process, you will get relocatable binaries that are multi-versioned and will work on other micro-architecture? It's …
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Comment #47076654
I am very interested in improving the user-experience around precompilation and performance, may I ask why you are creating a sysimage from scratch? > I would opt into prebuilt x86…
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Comment #43528091
Very cool. Does the dynamic instrumentation handle JIT emitted code?
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Comment #41025658
We use RR a lot with Julia. It only gives you a GDB view of the system, but it can work with any interpreted or compiled language. Things that don't work are drivers that update ma…
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Comment #37427036
Ah but what defines madness? For me it's innocuous functions that have surprising/wild behavior due to type inference disagreeing with me. Most of the time I am the one wrong.
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Comment #37426266
Yeah in the end this the difference between dynamical and static typing. I enjoy https://tratt.net/laurie/research/pubs/html/tratt__dynamical... as a discussion of dynamic typing.
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Comment #37425965
One of the authors here, happy to answer questions.
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Comment #36538108
> And dealing with bugs in LLVM is basically a no-go, I've seen this happen in the Julia ecosystem as well. As one of the folks dealing with LLVM bugs in the Julia ecosystem. Yes i…
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Comment #36156683
Yeah I often describe Julia as a Lisp in sheep's clothing. Or as the m-Lisp promised to us :) I chuckled when I read: > The way that common Lisp systems produce executable binaries…
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Comment #35920049
Yes that is precisely what was fixed, essentially the thread local storage that Julia was expecting were not setup and thus calling the runtime from a foreign thread would cause a …
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Comment #35892656
How closely tied is this to Python? The need for reactivity is what drove the development for Pluto.jl, but it would be nice to have something like this for IJulia.jl as well.
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Comment #35892655
How closely tied is this to Python? The need for reactivity is what drove the development for Pluto.jl, but it would be nice to have something like this for IJulia.jl as well.
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Comment #35694292
Don't ask me about GNU_UNIQUE... Due to some wonderful C++ features the dynamic linker is forced to unify symbols across shared libraries, even if those symbols have different vers…
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Comment #34229784
Also Be-sharper would have been a great pronouciation.
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Comment #32806447
- Jupiter: Yes, Julia was one of the first non-python IPython/Jupiter kernel - Pandas: DataFrames.jl - Numpy: Basically the available as part of the stdlibs/language - Scipy: Yes, …
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Comment #32512578
Take a look at `juliaup`. It's allows you to manage multiple Julia versions and makes you independent of the distribution.
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Comment #32491910
I did the manual setup the other day since I wanted to try using my steam deck as a Road-Warrior build server. The whole systemd-sysext seems like a good way to make that happen.
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Comment #32083651
> A better calculator language Especially with reactive programming as an ask there, I would recommend Julia with Pluto.jl (Pluto is a reactive notebook). > A really dynamically-ty…
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Comment #31700618
Yes because Microsoft got a special license from Apple that allows for the virtualization of Mac OS on non Apple hardware... The rest of us is still running on racks of Mac Minis
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Comment #31669006
If you look at the contribution activity it dropped off after acquisition of GitHub by Microsoft and it seems that development was redirected to VSCode. The writing was on the wall…
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Comment #31622482
I think https://github.com/rr-debugger/rr/issues/2034#issuecomment-6... is the right synopsis.
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Comment #31575143
If you are using Julia I would recommend looking at AMDGPU.jl and (pluging my own project here) KernelAbstractions.jl