Julia and Mojo Mandelbrot Benchmark
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Julia and Mojo Mandelbrot Benchmark
1–10 of 168 posts
Re: Julia and Mojo Mandelbrot Benchmark
#2Re: Julia and Mojo Mandelbrot Benchmark
#3that's cool but mojo literally just came out
Re: Julia and Mojo Mandelbrot Benchmark
#4Julia's poor AoT support (with small binaries) is a major Achilles heel. I really wish that the Julia developers had taken that more seriously earlier on.
Re: Julia and Mojo Mandelbrot Benchmark
#5tldr: in the test's first implementation mojo was faster but then the refactored and made the julia code faster by 8x over mojo. that's cool but mojo literally just came out
Re: Julia and Mojo Mandelbrot Benchmark
#6A more interesting question is which version is more elegant, ‘obvious’ and maintainable. (Deeply familiar with both, but money is on Julia).
Re: Julia and Mojo Mandelbrot Benchmark
#7tldr: in the test's first implementation mojo was faster but then the refactored and made the julia code faster by 8x over mojo. that's cool but mojo literally just came out
There are always tradeoffs, and it usually takes a few weeks for people to come to terms with why Julia is unique.
Definitely falls into the fun category. =)
Re: Julia and Mojo Mandelbrot Benchmark
#8Re: Julia and Mojo Mandelbrot Benchmark
#9In my opinion, the issue that will make more of a difference in the long run is Mojo's first-class support for AoT compiled binaries (as well as JIT compilation). Julia's poor AoT support (with small binaries) is a major Achilles heel. I really wish that the Julia developers had taken that more seriously earlier on.
Wasm fluid simulation in Julia: https://alexander-barth.github.io/FluidSimDemo-WebAssembly/
Differential equations demo in the browser: https://tshort.github.io/Lorenz-WebAssembly-Model.jl/
Someone even setup Julia to run on AVR mcus for Arduino (Directly using gpucompiler which statictools uses to compile to binaries):
https://seelengrab.github.io/articles/Running%20Julia%20bare...