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At least for me, Julia's fast enough in most cases. I switched from C/C++ to Julia for all of my scientific work, and it runs fine, even on a supercomputer lik

At least for me, Julia's fast enough in most cases. I switched from C/C++ to Julia for all of my scientific work, and it runs fine, even on a supercomputer like Titan (barring something that requires thousands of nodes at once — MPI is not yet integrated into Julia). You just have to be careful in the tight inner loops and check the assembly that it outputs using code_native(). Granted, there's plenty of fast libraries written in C/Fortran that don't have a Julia equivalent yet, and depending on the overhead of ccall(), you may wish to stick with writing the rest of your code in the language of the library.

tjl 11y ago
Good to know. I've been looking at it, but not seriously. It's been more keeping an eye on it. I was hoping that Fortress would go somewhere, but it died. My other problem is code generation. I can't generate Julia code yet.
- ihnorton 11y ago
  > My other problem is code generation. I can't generate Julia code yet. Perhaps I am misunderstanding your meaning here, but Julia has a range of metaprogramming functionality including both Lisp-like macros, as well as "generated functions" that allow custom code specialization based on input type signatures (https://medium.com/@acidflask/smoothing-data-with-julia-s-generated-functions-c80e240e05f3 https://medium.com/@acidflask/smoothing-data-with-julia-s-ge...). These capabilities have been used for DSLs (e.g. https://github.com/JuliaOpt/JuMP.jl https://github.com/JuliaOpt/JuMP.jl) and parser generation (e.g. https://github.com/abeschneider/PEGParser.jl https://github.com/abeschneider/PEGParser.jl).
  - tjl 11y ago
    No, I'm talking about generating Julia code from elsewhere. I'll derive some math in another program (e.g., Maple, Mathematica, SymPy) and output code that represents that math. I can't do that with Julia right now.
    - ihnorton 11y ago
      I see. Indeed, Julia's ecosystem is still quite young. (possibly of interest: a project building a Julia-integrated CAS called Nemo, at http://nemocas.org/ http://nemocas.org/)

tjl 11y ago

Good to know. I've been looking at it, but not seriously. It's been more keeping an eye on it. I was hoping that Fortress would go somewhere, but it died. My other problem is code generation. I can't generate Julia code yet.

ihnorton 11y ago
> My other problem is code generation. I can't generate Julia code yet. Perhaps I am misunderstanding your meaning here, but Julia has a range of metaprogramming functionality including both Lisp-like macros, as well as "generated functions" that allow custom code specialization based on input type signatures (https://medium.com/@acidflask/smoothing-data-with-julia-s-generated-functions-c80e240e05f3 https://medium.com/@acidflask/smoothing-data-with-julia-s-ge...). These capabilities have been used for DSLs (e.g. https://github.com/JuliaOpt/JuMP.jl https://github.com/JuliaOpt/JuMP.jl) and parser generation (e.g. https://github.com/abeschneider/PEGParser.jl https://github.com/abeschneider/PEGParser.jl).
- tjl 11y ago
  No, I'm talking about generating Julia code from elsewhere. I'll derive some math in another program (e.g., Maple, Mathematica, SymPy) and output code that represents that math. I can't do that with Julia right now.
  - ihnorton 11y ago
    I see. Indeed, Julia's ecosystem is still quite young. (possibly of interest: a project building a Julia-integrated CAS called Nemo, at http://nemocas.org/ http://nemocas.org/)