Implications of Historical Trends in the Electrical Efficiency of Computing
By Jonathan G. Koomey, Stephen Berard, Marla Sanchez, Henry Wong. IEEE Annals of the History of Computing, 2011
467 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/2066e63f9f668d9e9789949af2f2d8a55bf72c49
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In Electrical and Electronic Engineering
- Vamsi Talla
- Bryce Kellogg
- Shyamnath Gollakota
- Joshua R. Smith
- Vikram Iyer
- Ying-Chang Liang
- Gang Yang
- Rui Zhang
Citations in the corpus
- Digitalization and energy consumption. Does ICT reduce energy demand? (2020, unknown): “Rising income inequalities have been a major explanation of recent low growth in high income countries (Krugman, 2014), and estimates presume digitalization will perpetuate this relation in the future (Lange and Santarius, 2020; Staab, 2017).”
- The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations (2021, unknown): “machines once they reach their end-of-life (if the cryptocurrency collapses, mining machines cannot be repurposed as a generic data centers since they are so specialized [Preist, personal communication]), estimated at an annual 10,948 metric tons (comparable to Luxembourg at 12 kt) assuming Koomey’s”
- Aligning artificial intelligence with climate change mitigation (2022, unknown): “While the amount of computing needed for each of the largest ML training runs is growing rapidly 27 , the extent to which efficiency improvements in computing (doubling every 2–3 years) 62,63 can limit overall ML-related energy use in data centres is uncertain.”
- Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, unknown): “law [3], the amount of energy needed for a given computing task will fall by a factor of 10 000 compared to what it is now, thus further continuing the trend towards low-power devices.”
- Inter-Technology Backscatter: Towards Internet Connectivity for Implanted Devices (2016, background): “As CMOS technology has scaled, the power consumption of digital computation has decreased significantly [30].”