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While not "as fast as C" (C is not the absolute pinnacle of performance), Common Lisp is incredibly fast compared to the majority of programming languages around today. There is even a huge amount of ongoing work being done to make it faster still. We are seeing many interesting projects that make better use of the hardware in your computer (e.g. https://github.com/marcoheisig/Petalisp).
Github: https://github.com/wadehennessey/wcl
There's Dale, Extempore (more particularly, XTlang which is the statically-typed part of Extempore), Carp, and one more that I can't remember right now that basically maps to C++, more-or-less directly.
There's Dale, Extempore (more particularly, XTlang which is the statically-typed part of Extempore), Carp, and one more that I can't remember right now that basically maps to C++, more-or-less directly.
this was a submission from u/bpecsek and shows that lisp with sbcl can do quite well on bench-marking. but keep in mind that these sort of benchmarks can't tell you much about real world applications. moreover if you are really concerned about niche performance you need to start thinking about compilers. heck with an appropriate compiler even python can go wrooom
i dont buy it. you can write fft in any language. fftw for example is written in ocaml which generates c. maintainers of the package even reccomend against playing with c directly. moreover i dont see why you cant do something similar in lisp if you really wanted to
c-mera does exist.
Related posts
- numericals - Performance of NumPy with the goodness of Common Lisp
- Why hasn't anyone made a compiler for Python yet?
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- What would you want to see in Python?
- Interesting or distinctive lisps?