The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Minimizing power consumption in digital CMOS circuits
Abstract
An approach is presented for minimizing power consumption for digital systems implemented in CMOS which involves optimization at all levels of the design. This optimization includes the technology used to implement the digital circuits, the circuit style and topology, the architecture for implementing the circuits and at the highest level the algorithms that are being implemented. The most important technology consideration is the threshold voltage and its control which allows the reduction of supply voltage without significant impact on logic speed. Even further supply reductions can be made by the use of an architecture-based voltage scaling strategy, which uses parallelism and pipelining, to tradeoff silicon area and power reduction. Since energy is only consumed when capacitance is being switched power can be reduced by minimizing this capacitance through operation reduction choice of number representation, exploitation of signal correlations, resynchronization to minimize glitching, logic design, circuit design, and physical design. The low-power techniques that are presented have been applied to the design of a chipset for a portable multimedia terminal that supports pen input, speech I/O and full-motion video. The entire chipset that performs protocol conversion, synchronization, error correction, packetization, buffering, video decompression and D/A conversion operates from a 1.1 V supply and consumes less than 5 mW.>
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Vector Quantization and Signal Compression
Gersho, A., & Gray, R. M. (1992) · Springer eBooks · doi:10.1007/978-1-4615-3626-0 · Cited by 7,003
Chandrakasan, A. P., Sheng, S., & Brodersen, R. W. (2015) · Cited by 2,232
Self-citationChandrakasan, A. P., Sheng, S., & Brodersen, R. W. (1992) · IEEE Journal of Solid-State Circuits · doi:10.1109/4.126534 · Cited by 2,156
Self-citationCircuits, interconnections, and packaging for VLSI
Bakoglu, H. B. (1990) · Medical Entomology and Zoology · Cited by 1,867
Principles of CMOS VLSI Design: A Systems Perspective
Weste, N. H. E., & Eshraghian, K. (1985) · CERN Document Server (European Organization for Nuclear Research) · Cited by 1,566
The Physics of Semiconductor Devices
Grant, A. J. (1978) · Physics Bulletin · doi:10.1088/0031-9112/29/4/048 · Cited by 791
Short-circuit dissipation of static CMOS circuitry and its impact on the design of buffer circuits
Veendrick, H. J. M. (1984) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.1984.1052168 · Cited by 761
Ion-implanted complementary MOS transistors in low-voltage circuits
Swanson, R., & Meindl, J. (1972) · 1972 IEEE International Solid-State Circuits Conference. Digest of Technical Papers · doi:10.1109/isscc.1972.1155118 · Cited by 320
A low-voltage CMOS DC-DC converter for a portable battery-operated system
Stratakos, A. J., Sanders, S. R., & Brodersen, R. W. (2002) · Proceedings of 1994 Power Electronics Specialist Conference - PESC'94 · doi:10.1109/pesc.1994.349672 · Cited by 228
Self-citationAlgorithm transformation techniques for concurrent processors
Parhi, K. K. (1989) · Proceedings of the IEEE · doi:10.1109/5.48830 · Cited by 193
Cited by
Ultralow-Power Electronics for Biomedical Applications
Chandrakasan, A. P., Verma, N., & Daly, D. C. (2008) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.10.061807.160547 · Cited by 285
Self-citationUniversal Principles for Ultra Low Power and Energy Efficient Design
Sarpeshkar, R. (2012) · IEEE Transactions on Circuits and Systems II: Express Briefs · doi:10.1109/tcsii.2012.2188451 · Cited by 40
Metadata
- Authors
- Chandrakasan, A. P., & Brodersen, R. W.
- Venue
- Proceedings of the IEEE
- Published
- 1995-04
- Volume
- 83
- Issue
- 4
- Pages
- 498-523
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2103684670
- Cited by
- 1,015
- References
- 12
- FWCI
- 37.37
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Minimizing power consumption in digital CMOS circuits. https://app.cochat.ai/papers/10.1109/5.371964
- The paper
- Chandrakasan, A. P., & Brodersen, R. W. (1995). Minimizing power consumption in digital CMOS circuits. Proceedings of the IEEE. https://doi.org/10.1109/5.371964
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.