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Record W2113182920 · doi:10.1109/tvlsi.2008.2001427

Programmable Logic Core Enhancements for High-Speed On-Chip Interfaces

2009· article· en· W2113182920 on OpenAlexaff
B.R. Quinton, Steven J. E. Wilton

Bibliographic record

VenueIEEE Transactions on Very Large Scale Integration (VLSI) Systems · 2009
Typearticle
Languageen
FieldComputer Science
TopicInterconnection Networks and Systems
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsProgrammable logic deviceReconfigurabilityComputer scienceSimple programmable logic deviceProgrammable logic arrayDebuggingEmbedded systemLogic familyLogic synthesisMacrocell arrayComplex programmable logic deviceProgrammable Array LogicSystem on a chipOverhead (engineering)Erasable programmable logic deviceComputer architectureLogic gate

Abstract

fetched live from OpenAlex

Programmable logic cores (PLCs) offer a means of providing post-fabrication reconfigurability to a SoC design. This ability has the potential to significantly enhance the SoC design process by enabling post-silicon debugging, design error correction and post-fabrication feature enhancement. However, circuits implemented in general purpose programmable logic will inevitably have lower timing performance than fixed function circuits. This fundamental mismatch makes it difficult to use the PLC effectively. We address this problem by proposing changes to the structure of the PLC itself; these architectural enhancements enable circuit implementations with high performance interfaces. In previous work we addressed system bus interfaces, in this work we address direct synchronous interfaces. Our results show significant improvement in PLC interface timing, such that interaction with full-speed fixed-function SoC logic is possible. Our enhanced PLCs are able to implement direct synchronous interfaces running at, on average, 662 MHz (compared to 249 MHz in regular programmable logic). We are able to do this without compromising the basic structure or routiblity of the programmable fabric. At the same time, we show that the area overhead for these architectural changes was approximately 1%.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.032
GPT teacher head0.275
Teacher spread0.243 · 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.

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

Citations5
Published2009
Admission routes1
Has abstractyes

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