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Record W1977549083 · doi:10.1109/cjece.2013.6704692

Redesigned CMOS (4; 2) compressor for fast binary multipliers

2013· article· en· W1977549083 on OpenAlexvenueno aff
Abdoreza Pishvaie, Ghassem Jaberipur, Ali Jahanian

Bibliographic record

VenueCanadian Journal of Electrical and Computer Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicLow-power high-performance VLSI design
Canadian institutionsnot available
Fundersnot available
KeywordsXNOR gateGas compressorOperandComputer scienceRedundancy (engineering)Binary numberCMOSComputer hardwareAdderNAND gateArithmeticLogic gateParallel computingElectronic engineeringAlgorithmMathematicsEngineering

Abstract

fetched live from OpenAlex

(4; 2) compressors seem to be the most popular bit-compressing cells with principal application in multi-operand addition and multiplication hardware. Therefore, performance of (4; 2) compressors is particularly influential in the efficiency of multiplication intensive computations. Realization of these cells is mainly based on XOR/XNOR gates, which are functionally equivalent to three simpler ones among AND/NAND and OR/NOR gates. Decomposition of XOR/XNOR gates in some (4; 2) compressors to their constituent simpler ones may lead to removal of some hardware redundancy. In this paper we take advantage of such decomposition to propose a new (4; 2) compressor design, evaluate its performance, and compare it with previous designs. The proposed (4; 2) compressor, as such, and those of reference works are simulated with HSPICE using 45nm post-layout CCMOS standard cell library with presence of process variation. The results show performance improvements, compared to the best of reference designs, in terms of delay (17%), power (13%), and power-delay-product (30%). For more realistic comparison, performance of each design is evaluated via incorporation of more than 1300 (4; 2) compressors in 54×54-bit binary multipliers as a uniform test bench via MAGMA tools. This experience confirmed the above results on isolated single (4; 2) compressors.

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 score0.003
Threshold uncertainty score0.010

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)0.0030.001

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 head0.004
GPT teacher head0.150
Teacher spread0.146 · 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

Citations26
Published2013
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Electrical and Computer EngineeringSame topicLow-power high-performance VLSI designFrench-language works237,207