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Record W2018111008 · doi:10.1109/tnano.2014.2329915

Design of a Nonvolatile 7T1R SRAM Cell for Instant-on Operation

2014· article· en· W2018111008 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Nanotechnology · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Memory and Neural Computing
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsStatic random-access memoryNon-volatile memoryResistive random-access memoryComputer scienceElectronic engineeringEnergy consumptionMemory cellCMOSDissipationElectrical engineeringPower (physics)Context (archaeology)Energy (signal processing)Embedded systemComputer hardwareVoltageEngineeringTransistor

Abstract

fetched live from OpenAlex

Energy consumption is a major concern in nanoscale CMOS ICs; the power-Off operational mode and low-voltage circuits have been proposed to alleviate energy dissipation. Static random access memories (SRAMs) are widely used in today's chips; nonvolatile SRAMs (NVSRAMs) have been proposed to preserve data, while providing fast power- On/Off speeds. Nonvolatile operation is usually accomplished by the use of a resistive RAM circuit (hence referred to as RRAM); the utilization of a RRAM with an SRAMs not only enables chips to achieve low energy consumption for nonvolatile operation, but it also permits to restore data when a restore on power-up is performed (this operation is also commonly referred to as “Instant-on”). This paper presents a novel NVSRAM circuit for “Instant-on” operation and evaluates its performance at nanometric feature sizes. The proposed memory cell consists of a SRAM core (in this case, a 6T cell) and an oxide resistive RRAM circuit (1T1R), thus making a 7T1R scheme. The proposed cell offers better nonvolatile performance (in terms of operations such as “Store,” “Power-down,” and “Restore”) when compared with existing nonvolatile cells. The scenario of multiple-context configuration is also analyzed. Figures of merit such as energy, operational delay, and area are also substantially improved, making the proposed design a better scheme for “Instant-on” operation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.223
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it