The energy efficiency of coding languages

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https://www.perplexity.ai/page/the-energy-efficiency-of-codin-1uxPhItkQwKitYnDRvzMWg

(2017)

2021 article:

2024 article:

https://arxiv.org/pdf/2410.05460

@artesia summarise article

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@merefield Here’s a summary of the article “The Energy Efficiency of Coding Languages” from Perplexity:

Main Points:

  • Energy Efficiency Matters: The energy efficiency of programming languages is increasingly important due to environmental sustainability concerns.
  • Compiled vs. Interpreted: Compiled languages like C, Rust, and C++ are significantly more energy-efficient than interpreted languages such as Python and Ruby.
  • Efficiency Rankings:
    • C is the most energy-efficient, followed closely by Rust and C++.
    • Interpreted languages (Python, Ruby, Perl) consume up to 45 times more energy than C for similar tasks.
    • The chart you provided visualizes this, showing C, Rust, and C++ with the lowest energy consumption, while Python, Ruby, and Perl are among the highest.
  • Key Factors Affecting Efficiency:
    • Compiled code is more efficient due to direct machine translation.
    • Low-level access (as in C/C++) allows for better energy management.
    • Memory usage and execution speed also influence energy use.
    • Compiler and runtime optimizations can make a big difference.
  • Developer Implications:
    • There’s a trade-off between efficiency and developer ease/speed.
    • Green coding practices are important in any language.
    • For power-constrained applications (like IoT or mobile), energy-efficient languages should be considered.

In Summary: If energy efficiency is a top priority—especially for large-scale, long-running, or battery-dependent projects—consider compiled, low-level languages. High-level languages like Python and Ruby are easier to use but much less efficient in terms of energy.

Let me know if you want specific code-level tips for improving efficiency!