Research area · programme
Energy & Grids
Grid economics and the energy cost of computation — the counterpart ledger.
3 papers drawn here · 2 curated relations touch the area · 0 authored papers. The graph opens straight on this view; the map and every other area stay one click away.
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Papers drawn in Energy & Grids (3)
Every paper drawn in this area, sorted by curated degree. Click a title to open its ego graph on the canvas above, or follow the DOI / arXiv link to the publisher record.
| Paper | Authors | Year | Identifier / Venue | Status | Relations |
|---|---|---|---|---|---|
| Ranking programming languages by energy efficiency Extended journal study (Science of Computer Programming 2021) analyzing the relationship between energy, execution time, and peak/DRAM power across 27 languages. | Pereira et al. | 2021 | DOI:10.1016/j.scico.2021.102609 | peer-reviewed (vault claim) | 2 |
| Energy efficiency across programming languages: how do energy, time, and memory relate? Pereira et al. (SLE 2017) empirically evaluate 27 programming languages across the Computer Language Benchmarks Game using Intel RAPL energy sensors, execution time, and peak memory. | Pereira et al. | 2017 | DOI:10.1145/3136014.3136031 | peer-reviewed (vault claim) | 1 |
| It's Not Easy Being Green: On the Energy Efficiency of Programming Languages van Kempen, Kwon, Nguyen & Berger (arXiv:2410.05460, 2024) re-examine Pereira et al.'s (2017, 2021) language energy rankings, demonstrating that memory-safe compiled languages (Rust, C++) achieve 10x-70x wall-time and energy advantages over pure CPython bytecode loops, but when Python delegates hot loops to native C/C++/Rust kernels (such as DuckDB,… | Kempen et al. | 2024 | arXiv:2410.05460 | preprint | 1 |
Curated semantic relation notes touching Energy (2)
extends → Ranking programming languages by energy efficiency → Energy efficiency across programming languages: how do energy, time, and memory relate?
Extends the cross-language RAPL energy, runtime, and peak-memory benchmark corpus across 27 programming languages and normalizes energy-delay profiles.
Drafted by: agent draft (gemini)
contrasts with ↔ It's Not Easy Being Green: On the Energy Efficiency of Programming Languages ↔ Ranking programming languages by energy efficiency
van Kempen et al. (2024) control for algorithmic/library differences in Pereira et al. (2017, 2021), showing why hybrid Python+Rust/C native kernels approach pure Rust performance when FFI copies are eliminated.
Drafted by: agent draft (gemini)
Full vault context
This page lists the 3 drawn papers and 2 semantic relation notes touching Energy & Grids. For the site-wide four evidence chains, 3 explicit refutations, retracted claim, and all 23 authored records, return to The Research Network overview →
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