MétaCan
Menu
Back to cohort
Record W2033685698 · doi:10.1145/1117201.1117216

FPGA clock network architecture

2006· article· en· W2033685698 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLow-power high-performance VLSI design
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsClock networkDigital clock managerCPU multiplierField-programmable gate arrayClock gatingComputer scienceFlexibility (engineering)Clock domain crossingClock rateEmbedded systemClock skewSynchronous circuitClock signalTelecommunications

Abstract

fetched live from OpenAlex

This paper examines the tradeoffs between flexibility, area, and power dissipation of programmable clock networks for Field-Programmable Gate Arrays (FPGA's). The paper begins by describing a parameterized clock network model that describes a broad range of programmable clock network architectures. Specifically, the model supports architectures with multiple local and global clock domains and varying amounts of flexibility at various levels of the clock network. Using the model, the architectural parameters that control the flexibility of the clock network are varied to determine the cost of this flexibility in terms of area and power dissipation. From these experiments, the study finds that area and power costs are highest for networks with flexibility close to the logic blocks. Furthermore, it found that clock networks with local clock domains have little overhead and are significantly more efficient than clock networks without local clock domains for applications with multiple clocks.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.729
Threshold uncertainty score0.593

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 head0.002
GPT teacher head0.152
Teacher spread0.149 · 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

Quick stats

Citations41
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicLow-power high-performance VLSI designFrench-language works237,207