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Analyzing the Time x Energy Relation in C++ Solutions Mined from a Programming Contest Site

https://doi.org/10.1145/3624309.3624312
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-39357-1openalex-snapshot
Guide to Competitive Programming: Learning and Improving Algorithms Through Contests
inferredcites →https://doi.org/10.1007/978-3-030-45237-7_8openalex-snapshot
CPU Energy Meter: A Tool for Energy-Aware Algorithms Engineering
inferredcites →https://doi.org/10.1016/j.scico.2021.102609openalex-snapshot
Ranking programming languages by energy efficiency
inferredcites →https://doi.org/10.1109/ase.2017.8115687openalex-snapshot
Understanding and overcoming parallelism bottlenecks in ForkJoin applications
inferredcites →https://doi.org/10.1109/icac.2016.45openalex-snapshot
Adaptive Power Profiling for Many-Core HPC Architectures
inferredcites →https://doi.org/10.1109/icppw.2012.39openalex-snapshot
Measuring Energy and Power with PAPI
inferredcites →https://doi.org/10.1109/ie54923.2022.9826760openalex-snapshot
PowerJoular and JoularJX: Multi-Platform Software Power Monitoring Tools
inferredcites →https://doi.org/10.1109/intera.2003.1192350openalex-snapshot
Proceedings Seventh Workshop on Interaction between Compilers and Computer Architectures. INTERACT-7 2003
inferredcites →https://doi.org/10.1109/tsusc.2022.3222409openalex-snapshot
Bringing Energy Efficiency Closer to Application Developers: An Extensible Software Analysis Framework
inferredcites →https://doi.org/10.1145/2425248.2425252openalex-snapshot
Measuring energy consumption for short code paths using RAPL
inferredcites →https://doi.org/10.1145/2714064.2660235openalex-snapshot
Understanding energy behaviors of thread management constructs
inferredcites →https://doi.org/10.1145/2755977openalex-snapshot
The impact of information technology on energy consumption and carbon emissions
inferredcites →https://doi.org/10.1145/3125374.3125382openalex-snapshot
Towards a Green Ranking for Programming Languages
inferredcites →https://doi.org/10.1145/3136014.3136031openalex-snapshot
Energy efficiency across programming languages: how do energy, time, and memory relate?
inferredcites →https://doi.org/10.1145/3154384openalex-snapshot
Energy efficiency
inferredcites →https://doi.org/10.1145/3177754openalex-snapshot
RAPL in Action
inferredcites →https://doi.org/10.7275/55hn-wk47openalex-snapshot
Assumptions of Multiple Regression: Correcting Two Misconceptions

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← extendshttps://doi.org/10.5281/zenodo.13235027zenodo-depositor-declared
inferred← citeshttps://doi.org/10.1016/b978-0-323-90386-8.00122-4openalex-snapshot
A Survey on Automatic Source Code Transformation for Green Software Generation
inferred← citeshttps://doi.org/10.1016/j.cola.2025.101341openalex-snapshot
Investigating the energy consumption of C++ and Java solutions mined from a programming contest site
inferred← citeshttps://doi.org/10.5753/sblp.2024.3693openalex-snapshot
Classifying C++ Solutions Based on Their Energy Profile
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