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Record W2023816139 · doi:10.1109/jssc.2002.803023

A 0.8-V 128-kb four-way set-associative two-level CMOS cache memory using two-stage wordline/bitline-oriented tag-compare (WLOTC/BLOTC) scheme

2002· article· en· W2023816139 on OpenAlexaff
Perng-Fei Lin, J.B. Kuo

Bibliographic record

VenueIEEE Journal of Solid-State Circuits · 2002
Typearticle
Languageen
FieldComputer Science
TopicParallel Computing and Optimization Techniques
Canadian institutionsUniversity of Waterloo
FundersTaiwan Semiconductor Manufacturing Company
KeywordsSense amplifierCacheCMOSContent-addressable memoryComputer scienceTransistorAmplifierDissipationSense (electronics)VoltageElectrical engineeringSet (abstract data type)Computer hardwareElectronic engineeringEngineeringParallel computingPhysicsArtificial intelligence

Abstract

fetched live from OpenAlex

This paper reports a 0.8-V 128-kb four-way set-associative two-level CMOS cache memory using a novel two-stage wordline/bitline-oriented tag-compare (WLOTC/BLOTC) and sense wordline/bitline (SWL/SBL) tag-sense amplifiers with an eight-transistor (8-T) tag cell in Level 2 (L2) and a 10-T shrunk logic swing (SLS) memory cell. with the ground/floating (G/F) data sense amplifier in Level 1 (L1) for high-speed operation for low-voltage low-power VLSI system applications. Owing to the reduced loading at the SWL in the new 11-T tag cell using the WLOTC scheme, the 10-T SLS memory cell with G/F sense amplifier in L1, and the split comparison of the index signal in the 8-T tag cells with SWL/SBL tag sense amplifiers in L2, this 0.8-V cache memory implemented in a 1.8-V 0.18-/spl mu/m CMOS technology has a measured L1/L2 hit time of 11.6/20.5 ns at the average dissipation of 0.77 mW at 50 MHz.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.114
GPT teacher head0.325
Teacher spread0.212 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Journal of Solid-State CircuitsSame topicParallel Computing and Optimization TechniquesFrench-language works237,207