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The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits

Dreslinski, Ronald G., Wieckowski, Michael, Blaauw, David, Sylvester, Dennis, Mudge, Trevor·2010·Proceedings of the IEEE

Abstract

Power has become the primary design constraint for chip designers today. While Moore's law continues to provide additional transistors, power budgets have begun to prohibit those devices from actually being used. To reduce energy consumption, voltage scaling techniques have proved a popular technique with subthreshold design representing the endpoint of voltage scaling. Although it is extremely energy efficient, subthreshold design has been relegated to niche markets due to its major performance penalties. This paper defines and explores near-threshold computing (NTC), a design space where the supply voltage is approximately equal to the threshold voltage of the transistors. This region retains much of the energy savings of subthreshold operation with more favorable performance and variability characteristics. This makes it applicable to a broad range of power-constrained computing segments from sensors to high performance servers. This paper explores the barriers to the widespread adoption of NTC and describes current work aimed at overcoming these obstacles.

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Metadata

Authors
Dreslinski, R. G., Wieckowski, M., Blaauw, D., Sylvester, D., & Mudge, T.
Venue
Proceedings of the IEEE
Published
2010-02
Volume
98
Issue
2
Pages
253-266
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
OpenAlex
W1998525920
Cited by
833
References
10
FWCI
35.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits. https://app.cochat.ai/papers/10.1109/jproc.2009.2034764
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Dreslinski, R. G., Wieckowski, M., Blaauw, D., Sylvester, D., & Mudge, T. (2010). Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2009.2034764

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.