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cross-posted from: https://lemmy.world/post/31184706

C is one of the top languages in terms of speed, memory and energy

https://www.threads.com/@engineerscodex/post/C9_R-uhvGbv?hl=en

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[-] brisk@aussie.zone 37 points 1 week ago
[-] Mihies@programming.dev 14 points 6 days ago

Also the difference between TS and JS doesn't make sense at first glance. 🤷‍♂️ I guess I need to read the research.

[-] Feyd@programming.dev 6 points 6 days ago

My first thought is perhaps the TS is not targeting ESNext so they're getting hit with polyfills or something

[-] TwistyLex@discuss.tchncs.de 2 points 5 days ago

For Haskell to land that low on the list tells me they either couldn't find a good Haskell programmer and/or weren't using GHC.

[-] GiorgioPerlasca@lemmy.ml 4 points 6 days ago

Every time I get surprised by the efficiency of Lisp! I guess they mean Common Lisp there, not Clojure or any modern dialect.

[-] monomon@programming.dev 1 points 6 days ago

Yeah every time I see this chart I think "unless it's performance critical, realtime, or embedded, why would I use anything else?" It's very flexible, a joy to use, amazing interactive shell(s). Paren navigation is awesome. The build/tooling is not the best, but it is manageable.

That said, OCaml is nice too.

[-] HelloRoot@lemy.lol 5 points 6 days ago

WASM would be interesting as well, because lots of stuff can be compiled to it to run on the web

[-] benjhm@sopuli.xyz 2 points 6 days ago* (last edited 6 days ago)

Indeed, here's an example - my climate-system model web-app, written in scala running (mainly) in wasm
(note: that was compiled with scala-js 1.17, they say latest 1.19 does wasm faster, I didn't yet compare).
[ Edit: note wasm variant only works with most recent browsers, maybe with experimental options set - if not try without ?wasm ]

[-] HelloRoot@lemy.lol 5 points 6 days ago

I have no clue what I am looking at but it is absolutely mesmerizing.

[-] benjhm@sopuli.xyz 2 points 6 days ago

Oh, it's designed for a big desktop screen, although it just happens to work on mobile devices too - their compute power is enough, but to understand the interactions of complex systems, we need space.

[-] JustEnoughDucks@feddit.nl 5 points 6 days ago

I would be interested in how things like MATLAB and octave compare to R and python. But I guess it doesn't matter as much because the relative time of those being run in a data analysis or research context is probably relatively low compared to production code.

[-] syklemil@discuss.tchncs.de 7 points 6 days ago

Is there a lot of computation-intensive code being written in pure Python? My impression was that the numpy/pandas/polars etc kind of stuff was powered by languages like fortran, rust and c++.

[-] Womble@lemmy.world 1 points 6 days ago

The popular well crafted ones are, but not all are well crafted.

[-] ICastFist@programming.dev 4 points 6 days ago

Looking at the Energy/Time ratios (lower is better) on page 15 is also interesting, it gives an idea of how "power hungry per CPU cycle" each language might be. Python's very high

[-] olafurp@lemmy.world 1 points 5 days ago

Wonder what they used for the JS state since it's dependent on the runtime.

[-] Mihies@programming.dev 1 points 6 days ago

I have a hard time believing Java is that high up. I'd place it around c#.

[-] HelloRoot@lemy.lol 9 points 6 days ago* (last edited 6 days ago)

Why?

(A super slimmed down flavour of) Java runs on fucking simcards.

[-] Mihies@programming.dev 5 points 6 days ago

In theory Java is very similar to C#, an IL based JIT runtime with a GC, of course. So where is the difference coming from between the two? How is it better than pascal, a complied language? These are the questions I'm wondering about.

[-] syklemil@discuss.tchncs.de 4 points 6 days ago

And it powers a lot of phones. People generally don't like it when their phone needs to charge all the freaking time.

[-] HelloRoot@lemy.lol 3 points 6 days ago* (last edited 6 days ago)

I ran Linux with KDE on my phone for a while and it for sure needed EVEN MORE charging all the time even though most of the system is C, with a sprinkle of C++ and QT.

But that is probably due to other inefficiencies and lack of optimization (which is fine, make it work first, optimize later)

[-] syklemil@discuss.tchncs.de 4 points 6 days ago

Yeah, and Android has had some 16 years of "optimize later". I have some very very limited experience with writing mobile apps and while I found it to be a PITA, there is clearly a lot of thought given to how to not eat all the battery and die in the ecosystem there. I would expect that kind of work to also be done at the JVM level.

If Windows Mobile had succeeded, C# likely would've been lower as well, just because there'd be more incentive to make a battery charge last longer.

[-] Mihies@programming.dev 2 points 6 days ago

C# has been very optimized since .NET Core (now .NET). Also jit compiler and everything around it.

[-] Lembot_0003@lemmy.zip 3 points 6 days ago

Because usually they use the super fat flavor of Java. Jabba Fatt tier of lardiness Java.

[-] HelloRoot@lemy.lol 6 points 6 days ago* (last edited 4 days ago)

I'm using the fattest of java (Kotlin) on the fattest of frameworks (Spring boot) and it is still decently fast on a 5 year old raspberry pi. I can hit precise 50 μs timings with it.

Imagine doing it in fat python (as opposed to micropython) like all the hip kids.

[-] atzanteol@sh.itjust.works 8 points 6 days ago

Love the "I reject your empirical data and substitute my emotions" energy.

[-] Lembot_0003@lemmy.zip 2 points 6 days ago

Perl is disappointing too. I always considered it as an etalon shit-script.

[-] Feyd@programming.dev 1 points 6 days ago

That definitely raised an eyebrow for me. Admittedly I haven't looked in a while but I thought I remembered perl being much more performant than ruby and python

this post was submitted on 11 Jun 2025
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