On the public citation graph

Does the Compiler Version Influence the Energy Consumption of Programming Languages?

0 signed · 14 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-28652-0openalex-extracted
Compiler Construction
inferredcites →https://doi.org/10.1007/978-3-642-29044-2openalex-extracted
Experimentation in Software Engineering
inferredcites →https://doi.org/10.1007/s00450-018-0393-8openalex-extracted
The influence of two modern compiler infrastructures on the energy consumption of the HPCG benchmark
inferredcites →https://doi.org/10.1016/j.future.2018.02.044openalex-extracted
Sustainable software products—Towards assessment criteria for resource and energy efficiency
inferredcites →https://doi.org/10.1093/comjnl/bxt129openalex-extracted
Identifying Compiler Options to Minimize Energy Consumption for Embedded Platforms
inferredcites →https://doi.org/10.1109/bdcloud-socialcom-sustaincom.2016.77openalex-extracted
Android App Energy Efficiency: The Impact of Language, Runtime, Compiler, and Implementation
inferredcites →https://doi.org/10.1109/igcc.2014.7039169openalex-extracted
Program energy efficiency: The impact of language, compiler and implementation choices
inferredcites →https://doi.org/10.1109/ms.2006.97openalex-extracted
Choosing a programming language
inferredcites →https://doi.org/10.1109/ms.2015.83openalex-extracted
What Do Programmers Know about Software Energy Consumption?
inferredcites →https://doi.org/10.1109/tpds.2009.76openalex-extracted
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications
inferredcites →https://doi.org/10.1109/ucc.2011.78openalex-extracted
Distributed Green Compiler
inferredcites →https://doi.org/10.1109/ucc48980.2020.00047openalex-extracted
Performance, Power, and Energy-Efficiency Impact Analysis of Compiler Optimizations on the SPEC CPU 2017 Benchmark Suite
inferredcites →https://doi.org/10.1145/3136014.3136031openalex-extracted
Energy efficiency across programming languages: how do energy, time, and memory relate?
inferredcites →https://doi.org/10.1145/3194078.3194081openalex-extracted
EET
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.