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GPUCompiler.jl Alternatives
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GPUCompiler.jl discussion
GPUCompiler.jl reviews and mentions
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We Use Julia, 10 Years Later
I don't think it's frowned upon to compile, many people want this capability as well. If you had a program that could be proven to use no dynamic dispatch it would probably be feasible to compile it as a static binary. But as long as you have a tiny bit of dynamic behavior, you need the Julia runtime so currently a binary will be very large, with lots of theoretically unnecessary libraries bundled into it. There are already efforts like GPUCompiler[1] that do fixed-type compilation, there will be more in this space in the future.
[1] https://github.com/JuliaGPU/GPUCompiler.jl
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Cuda.jl v3.3: union types, debug info, graph APIs
A fun fact is that the GPUCompiler, which compiles the code to run in GPU's, is the current way to generate binaries without hiding the whole ~200mb of julia runtime in the binary.
https://github.com/JuliaGPU/GPUCompiler.jl/ https://github.com/tshort/StaticCompiler.jl/
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A note from our sponsor - InfluxDB
influxdata.com | 24 Apr 2025
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JuliaGPU/GPUCompiler.jl is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of GPUCompiler.jl is Julia.
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