JuliaInterpreter.jl
rust
JuliaInterpreter.jl | rust | |
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5 | 7 | |
157 | 711 | |
0.6% | 1.1% | |
7.6 | 0.0 | |
25 days ago | 4 days ago | |
Julia | Rust | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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JuliaInterpreter.jl
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Do you use Julia for general purpose tasks?
The projects page is a list of suggestions of projects that someone has already said they want to run. If you can find a mentor, you can submit a project for anything. For potential performance improvements, I'd look at https://github.com/JuliaDebug/JuliaInterpreter.jl/issues/206, https://github.com/JuliaDebug/JuliaInterpreter.jl/issues/312, and https://github.com/JuliaDebug/JuliaInterpreter.jl/issues/314. I'm not sure if Tim Holy or Kristoffer have time to mentor a project, but if you're interested in doing a gsoc, ask around in the Julia slack/zulip, and you might be able to find a mentor.
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Julia 1.7 has been released
I would not go as far as calling it very naive, there has certainly been some work put into optimizing performance within the current design.
There are probably some gains to be had by using a different storage format for the IR though as proposed in [1], but it is difficult to say how much of a difference that will make in practice.
[1] https://github.com/JuliaDebug/JuliaInterpreter.jl/pull/309
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What's Bad about Julia?
You're right, done some more research and there seems to be an interpreter in the compiler: https://github.com/JuliaDebug/JuliaInterpreter.jl. It's only enabled by putting an annotation, and is mainly used for the debugger, but it's still there.
Still, it still seems to try executing the internal SSA IR in its raw form (which is more geared towards compiling rather than dynamic execution in a VM). I was talking more towards a conventional bytecode interpreter (which you can optimize the hell out of it like LuaJIT did). A bytecode format that is carefully designed for fast execution (in either a stack-based or register-based VM) would be much better for interpreters, but I'm not sure if Julia's language semantics / object model can allow it. Maybe some intelligent people out there can make the whole thing work, is what I was trying to say.
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Julia: faster than Fortran, cleaner than Numpy
It could, but that is a lot more work than it sounds. It might be easier to make it possible to swap out the compiler for one that is much faster (LLVM is slow but does good optimisations, other compilers like cranelift are faster but produce slower code). There is a Julia interpreter but it was written in Julia itself (it was written to support debuggers), so it doesn't really solve the latency issues.
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Julia: Faster than Fortran, cleaner than Numpy
If you need to run small scripts and can't switch to a persistent-REPL-based workflow, you might consider starting Julia with the `--compile=min` option. You can also reduce startup times dramatically by building a sysimg with PackageCompiler.jl
There is also technically an interpreter if you want to go that way [1], so in principle it might be possible to do the same trick javascript does, but someone would have to implement that.
[1] https://github.com/JuliaDebug/JuliaInterpreter.jl
rust
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ESP32 example project
The esp-template issue might be this one: https://github.com/esp-rs/rust/issues/158. Try with --release or updating to 1.68.0 with espup update. I'll take a look at the log as soon as I can, atm Im on the phone and is not that easy to scroll through :(
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Are there any Rust forks out there?
Sure. Espressif maintains a fork which adds support for their microcontrollers.
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Would it be possible to compile openssl-sys for esp32
I am trying to make a vaccine passport validation for my country using the ESP32 for my micro controller. I have gotten the std rust library to compile using (esp-rs)[https://github.com/esp-rs/rust], but the actual validation library that I use needs openssl which refuses to compile.
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Are there situations where it's better to use C++?
Xtensa. They've got a fork of LLVM that supports it that they're working toward getting upstreamed. The community has a fork of rustc that uses it (and a quickstart crate) while we wait for it to get upstreamed.
- Rust-Xtensa: Rust for Xtensa Processors. Built in Targets for the ESP32/ESP8266
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Multi-use kernel written in Rust
It only works if you have an Xtensa compiler which takes hours to compile, here: Rust Xtensa (if you don't have it). The network driver is just a function that sets the name of the driver so the Esp32 does something other that blinking.
- Could IOTA transaction be started solely from the IoT capable device (like esp32)?
What are some alternatives?
Diffractor.jl - Next-generation AD
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
Tullio.jl - ⅀
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
julia-numpy-fortran-test - Comparing Julia vs Numpy vs Fortran for performance and code simplicity
scala - Scala 2 compiler and standard library. Bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3
Infiltrator.jl - No-overhead breakpoints in Julia
odbc-api - ODBC (Open Database Connectivity) bindings for Rust.
rust - Empowering everyone to build reliable and efficient software.
tonic - A native gRPC client & server implementation with async/await support.