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Record W1673496079 · doi:10.3233/fi-2009-141

Application of Concurrency in the Asynchronous Design of Write-after-read Operations

2009· article· en· W1673496079 on OpenAlexaff
Navid Toosizadeh, Safwat G. Zaky

Bibliographic record

VenueFundamenta Informaticae · 2009
Typearticle
Languageen
FieldEngineering
TopicLow-power high-performance VLSI design
Canadian institutionsUniversity of Toronto
FundersDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsConcurrencyComputer scienceAsynchronous communicationProgramming languageAsynchronous systemParallel computingComputer architectureComputer networkTelecommunications

Abstract

fetched live from OpenAlex

This paper introduces enhancements to the synthesis of circuits that involve write-afterread (WAR) operations and use the four-phase handshake protocol. The paper demonstrates that the use of edge-triggering makes possible many useful trade-offs among speed, area and powerdelay product. Significant increases in speed are possible as a result of increased concurrency in the circuit's operation, which compensates for much of the penalty associated with the down phase of the four-phase protocol. It is also shown that concurrency can be increased by the judicious insertion of T-elements in the system's control structure. Simulation results for a 16-bit accumulator showed a speed increase of 50% and a reduction of 23% in the power-delay product. The speed of a radix-4 Booth multiplier increased by over 27% and its area and energy consumption were reduced by 5%. These results were derived using test circuits synthesized by Balsa and implemented in Synopsys using 180-nm technology.

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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.699
Threshold uncertainty score0.450

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 communication0.0000.001
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 head0.010
GPT teacher head0.228
Teacher spread0.218 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2009
Admission routes1
Has abstractyes

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