blasfeo
StaticCompiler.jl
blasfeo | StaticCompiler.jl | |
---|---|---|
6 | 16 | |
278 | 474 | |
- | - | |
5.3 | 6.9 | |
7 months ago | about 1 month ago | |
Assembly | Julia | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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blasfeo
- Blasfeo - Basic linear algebra subroutines for embedded optimization
- Blasfeo β Basic linear algebra subroutines for embedded optimization
- Where can I find safety critical or hard real-time C or C++ libraries?
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Show HN: prometeo β a Python-to-C transpiler for high-performance computing
Intrinsics (or directly assembly) are used in BLASFEO (https://github.com/giaf/blasfeo) the linear package used by prometeo. It would be cool to generate assembly directly for a few things, but that would require quite a bit of work!
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Parsing Protobuf at 2+GB/s: How I Learned To Love Tail Calls in C
I'm wondering how the tailcalls would fair against the assembly code for linear algebra, like for example in the blasfeo library.
StaticCompiler.jl
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Potential of the Julia programming language for high energy physics computing
Yes, julia can be called from other languages rather easily, Julia functions can be exposed and called with a C-like ABI [1], and then there's also various packages for languages like Python [2] or R [3] to call Julia code.
With PackageCompiler.jl [4] you can even make AOT compiled standalone binaries, though these are rather large. They've shrunk a fair amount in recent releases, but they're still a lot of low hanging fruit to make the compiled binaries smaller, and some manual work you can do like removing LLVM and filtering stdlibs when they're not needed.
Work is also happening on a more stable / mature system that acts like StaticCompiler.jl [5] except provided by the base language and people who are more experienced in the compiler (i.e. not a janky prototype)
[1] https://docs.julialang.org/en/v1/manual/embedding/
[2] https://pypi.org/project/juliacall/
[3] https://www.rdocumentation.org/packages/JuliaCall/
[4] https://github.com/JuliaLang/PackageCompiler.jl
[5] https://github.com/tshort/StaticCompiler.jl
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Julia App Deployment
PackageCompiler, but it' s a fat runtime and not cross compile. A thin runtime is currently not possible without sacrifices for feature as https://github.com/tshort/StaticCompiler.jl.
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JuLox: What I Learned Building a Lox Interpreter in Julia
https://github.com/tshort/StaticCompiler.jl/issues/59 Would working on this feasible?
- Making Python 100x faster with less than 100 lines of Rust
- What's Julia's biggest weakness?
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Size of a "hello world" application
I just read the project's documentation at https://github.com/tshort/StaticCompiler.jl. It does produce a "hello world" application that is only 8.4k in size π. I do like that it can work on Mac OS. Hopefully Windows support will come soon.
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Why Julia 2.0 isnβt coming anytime soon (and why that is a good thing)
See https://github.com/tshort/StaticCompiler.jl
- My Experiences with Julia
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Julia for health physics/radiation detection
You're probably dancing around the edges of what [PackageCompiler.jl](https://github.com/JuliaLang/PackageCompiler.jl) is capable of targeting. There are a few new capabilities coming online, namely [separating codegen from runtime](https://github.com/JuliaLang/julia/pull/41936) and [compiling small static binaries](https://github.com/tshort/StaticCompiler.jl), but you're likely to hit some snags on the bleeding edge.
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We Use Julia, 10 Years Later
using StaticCompiler # `] add https://github.com/tshort/StaticCompiler.jl` to get latest master
What are some alternatives?
hpipm - High-performance interior-point-method QP and QCQP solvers
julia - The Julia Programming Language
OpenBLAS - OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
PackageCompiler.jl - Compile your Julia Package
Octavian.jl - Multi-threaded BLAS-like library that provides pure Julia matrix multiplication
acados - Fast and embedded solvers for nonlinear optimal control
blas - Wrappers for BLAS (Fortran)
GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.
MatrixEquations.jl - Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia
oneAPI.jl - Julia support for the oneAPI programming toolkit.
blis - BLAS-like Library Instantiation Software Framework
LoopVectorization.jl - Macro(s) for vectorizing loops.