this post was submitted on 11 Jun 2025
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Programming

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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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[–] witx@lemmy.sdf.org 6 points 23 hours ago

To run perhaps. But what about the same metrics for debugging? How many hours do we spend debugging c/c++ issues?

[–] SoftestSapphic@lemmy.world 4 points 1 day ago (1 children)

True but it's also a cock to write in

[–] lustyargonian@lemm.ee 4 points 23 hours ago

What if we make a new language that extends it and makes it fun to write? What if we call it c+=1?

[–] QuazarOmega@lemy.lol 34 points 2 days ago

This doesn't account for all the comfort food the programmer will have to consume in order to keep themselves sane

[–] Darkcoffee@sh.itjust.works 52 points 2 days ago (1 children)

Machine energy, definitely not programmer energy ;)

[–] arendjr@programming.dev 28 points 2 days ago (8 children)

I would argue that because C is so hard to program in, even the claim to machine efficiency is arguable. Yes, if you have infinite time for implementation, then C is among the most efficient, but then the same applies to C++, Rust and Zig too, because with infinite time any artificial hurdle can be cleared by the programmer.

In practice however, programmers have limited time. That means they need to use the tools of the language to save themselves time. Languages with higher levels of abstraction make it easier, not harder, to reach high performance, assuming the abstractions don’t provide too much overhead. C++, Rust and Zig all apply in this domain.

An example is the situation where you need a hash map or B-Tree map to implement efficient lookups. The languages with higher abstraction give you reusable, high performance options. The C programmer will need to either roll his own, which may not be an option if time Is limited, or choose a lower-performance alternative.

[–] RheumatoidArthritis@mander.xyz 8 points 2 days ago (5 children)

I understand your point but come on, basic stuff has been implemented in a thousand libraries. There you go, a macro implementation

[–] witx@lemmy.sdf.org 1 points 20 hours ago

And how testable is that solution? Sure macros are helpful but testing and debugging them is a mess

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[–] brisk@aussie.zone 32 points 2 days ago (6 children)

For those who don't want to open threads, it's a link to a paper on energy efficiency of programming languages.

[–] brisk@aussie.zone 39 points 2 days ago (32 children)
[–] TwistyLex@discuss.tchncs.de 1 points 16 hours 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.

[–] olafurp@lemmy.world 1 points 1 day ago

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

[–] Mihies@programming.dev 14 points 2 days ago (19 children)

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 2 days ago

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

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[–] GiorgioPerlasca@lemmy.ml 4 points 1 day ago (1 children)

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 1 day 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.

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[–] FizzyOrange@programming.dev 10 points 2 days ago* (last edited 1 day ago) (3 children)

Ah this ancient nonsense. Typescript and JavaScript get different results!

It's all based on

https://en.wikipedia.org/wiki/The_Computer_Language_Benchmarks_Game

Microbenchmarks which are heavily gamed. Though in fairness the overall results are fairly reasonable.

Still I don't think this "energy efficiency" result is worth talking about. Faster languages are more energy efficient. Who new?

Edit: this also has some hilarious visualisation WTFs - using dendograms for performance figures (figures 4-6)! Why on earth do figures 7-12 include line graphs?

[–] ExLisper@lemmy.curiana.net 1 points 1 day ago (1 children)

Microbenchmarks which are heavily gamed

Which benchmarks aren't?

[–] FizzyOrange@programming.dev 1 points 20 hours ago (1 children)

Private or obscure ones I guess.

Real-world (macro) benchmarks are at least harder to game, e.g. how long does it take to launch chrome and open Gmail? That's actually a useful task so if you speed it up, great!

Also these benchmarks are particularly easy to game because it's the actual benchmark itself that gets gamed (i.e. the code for each language); not the thing you are trying to measure with the benchmark (the compilers). Usually the benchmark is fixed and it's the targets that contort themselves to it, which is at least a little harder.

For example some of the benchmarks for language X literally just call into C libraries to do the work.

[–] ExLisper@lemmy.curiana.net 1 points 20 hours ago

Private or obscure ones I guess.

Private and obscure benchmarks are very often gamed by the benchmarkers. It's very difficult to design a fair benchmark (e.g chrome can be optimized to load Gmail for obvious reasons. maybe we should choose a more fair website when comparing browsers? but which? how can we know that neither browser has optimizations specific for page X?). Obscure benchmarks are useless because we don't know if they measure the same thing. Private benchmarks are definitely fun but only useful to the author.

If a benchmark is well established you can be sure everyone is trying to game it.

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[–] eager_eagle@lemmy.world 19 points 2 days ago (1 children)

and in most cases that's not good enough to justify choosing c

[–] atzanteol@sh.itjust.works 9 points 2 days ago* (last edited 2 days ago)

I wouldn't justify using any language based on this metric alone.

[–] frezik@midwest.social 15 points 2 days ago (1 children)

For raw computation, yes. Most programs aren't raw computation. They run in and out of memory a lot, or are tapping their feet while waiting 2ms for the SSD to get back to them. When we do have raw computation, it tends to be passed off to a C library, anyway, or else something that runs on a GPU.

We're not going to significantly reduce datacenter energy use just by rewriting everything in C.

[–] BlackLaZoR@fedia.io 12 points 2 days ago

We're not going to significantly reduce datacenter energy use just by rewriting everything in C.

We would however introduce a lot of bugs in the critical systems

[–] pelya@lemmy.world 9 points 2 days ago
[–] kersplomp@programming.dev 9 points 2 days ago

I just learned about Zig, an effort to make a better C compatible language. It's been really good so far, I definitely recommend checking it out! It's early stages for the community, but the core language is pretty developed and is a breath of fresh air compared to C.

[–] enemenemu@lemm.ee 8 points 2 days ago (1 children)

Your link links to facebook that links to https://haslab.github.io/SAFER/scp21.pdf

Written in 2021 and not including julia is weird imo. I'm not saying it's faster but one should include it in a comparison.

[–] ulterno@programming.dev 6 points 2 days ago* (last edited 2 days ago) (1 children)

And they used bit.ly on page 5 for references.


Haven't read it yet, but already seems very non-serious to me.

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