Julia (programming language): Difference between revisions

Revision as of 00:01, 26 April 2025

Revision as of 02:47, 26 April 2025

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"These roughly follows the c11/c++11 memory model [..] The only exception is the GC safepoint and GC state transitions [..] We use the compiler intrinsics to implement a similar API to the c11/c++11" https://github.com/JuliaLang/julia/blob/44f3d7c921cbe50105a54258db2febb65a4b9d44/src/julia_threads.h

--> [[C++]], [[LLVM]],<ref>{{Cite web |title=Building Julia (Detailed) |website=[[GitHub]] |date=September 2017 |url=https://github.com/JuliaLang/julia/blob/master/doc/src/devdocs/build/build.md#required-build-tools-and-external-libraries |access-date=2022-05-16 |archive-date=16 May 2022 |archive-url=https://web.archive.org/web/20220516170342/https://github.com/JuliaLang/julia/blob/master/doc/src/devdocs/build/build.md#required-build-tools-and-external-libraries |url-status=live }}</ref> [[Scheme (programming language)|Scheme]] (<!-- is still used for lowering code (and bootstrapping? only that 1-2 functions, likely Scheme uyse will be elimintaed, i.e. for both; plus -->was used the parser; almost exclusively)

| platform = Tier&nbsp;1: 64- and 32-bit [[x86-64Windows 10]]+, [[Linux distro|Linux]], and 64-bit [[macOS]]; [[IA-32]], [[x86-64]], [[Apple silicon]] <small>([[AArch64|ARM64]])</small> Macs; Nvidia GPUs/[[CUDA]] 11.0+ (on Linux; {{nowrap|tier 2}} for Windows)<ref>{{Cite web|title=NVIDIA CUDA ⋅ JuliaGPU|url=https://juliagpu.org/cuda/|access-date=2022-01-17|website=juliagpu.org|quote=we have shown the performance to approach and even sometimes exceed that of CUDA C on a selection of applications from the Rodinia benchmark suite|archive-date=29 January 2022|archive-url=https://web.archive.org/web/20220129013944/https://juliagpu.org/cuda/|url-status=live}}</ref><br /><br /> Tier&nbsp;2: 64-bit [[FreeBSD]] 13.4+, Linux on [[Armv8|64-bit Arm]] on Linux,; Apple GPUs;/Metal on macOS 13+, Intel GPUs/[[OneAPI (compute acceleration)|OneAPI]] 6.2+ and Nvidia GPUs (on Windows)<br /><br /> Tier&nbsp;3: <!-- downgraded to tier 4: 32-bit [[ARM architecture family|Arm]], --> 64-bit [[RISC-V]], 64-bit [[musl]] (e.g. [[Alpine Linux]]); and AMD GPUs/[[ROCm]] 5.3+.

| operating system = [[Linux]], [[macOS]], [[Microsoft Windows|Windows]] 10+ and <!-- no longer just community support for --> [[FreeBSD]]

| license = [[MIT License|MIT]] <!-- (mainly),<ref name="license" /><!- for core language while, by default, "the environment, which consists of the language, user interfaces, and libraries, is under the GPL"; includes [[GNU General Public License|GPL v2]] components by default;<ref>{{Cite web |title=julia/julia.spdx.json |website=[[GitHub]] |date=September 2017 |url=https://github.com/JuliaLang/julia/blob/7b395153e80672f8cdb18f51dd653a85e28b2070/julia.spdx.json |access-date=2022-05-16}}</ref><ref>{{Cite newsgroup|url=https://groups.google.com/forum/#!topic/julia-users/v4OjEK7azBs |title=Non-GPL Julia? |website=Groups.google.com |access-date=2017-05-31}}</ref><!--as some few libraries used by the standard library (that can be excluded) are [[copyleft]]-> a [[makefile]] option omits GPL libraries.<ref>{{Cite web |url=https://github.com/JuliaLang/julia/pull/10870 |title=Introduce USE_GPL_LIBS Makefile flag to build Julia without GPL libraries |website=[[GitHub]] |quote=Note that this commit does not remove GPL utilities such as git and busybox that are included in the Julia binary installers on Mac and Windows.--><!--dropped as of 0.5 then only libgit2--><!-- It allows building from source with no GPL library dependencies.}}</ref> -->

| file ext = .jl

| website = {{Official website|https://JuliaLang.org|name=JuliaLang.org}}

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-->

Julia has official (tier 2) support for 64-bit ARMv8 meaning e.g. newer 64-bit (ARMv8-A) [[Raspberry Pi]] computers work with Julia (e.g. the Pi Compute Module 4 has been used in space running Julia code).<ref name="space_GPS" /> For many Pis, especially older 32-bit ones, it helps to cross-compile the user's Julia code for them. The older 32-bit ARMv7 Pis worked in older Julia versions (still do, but for latest Julia version(s), note downgraded from tier 3 to its current tier 4: "Julia built at some point in the past, but is known not to build currently."). The original [[Raspberry Pi]] 1 has no official support (since it uses [[ARMv6]] which has newer had a support tier; though some cut-down Julia <!-- i.e. missing OpenBLAS, that has a replacement --> has been known to run on that Pi).<ref>{{Cite web |url=https://github.com/JuliaLang/julia/issues/10488

|title=Cross-compiling for ARMv6

|quote=I believe #10917 should fix this. The CPU used there <code>arm1176jzf-s</code>. Please reopen if it does not.