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Record W2047143252 · doi:10.1145/1950413.1950441

A CAD framework for Malibu

2011· article· en· W2047143252 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
TopicVLSI and FPGA Design Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsField-programmable gate arrayComputer scienceVerilogElectronic circuitBitstreamCADCompilerMultiplexingDesign flowComputer architectureEmbedded systemAlgorithmTelecommunicationsElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

Modern FPGAs are used to implement a wide range of circuits, many of which have coarse-grained and fine-grained components. The ever-increasing size of these circuits places great demand on CAD tools to synthesize circuits faster and without loss in quality. Synthesizing coarse-grained components onto fine-grained FPGA resources is inefficient, and past attempts to optimize FPGAs for word-oriented datapaths have met with limited success. This paper presents a CAD flow to fully compile Verilog into a configuration bitstream for a new type of FPGA with time-multiplexed coarse-grained resources. We demonstrate two approaches with gains of 61x and 42x in synthesis time on average compared to QuartusII, but due to time-multiplexing and current synthesis limitations we achieve circuit speeds of 14x and 8.5x slower on average. We show the tools can also trade density for maximum clock frequency.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.608
Threshold uncertainty score0.313

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 head0.041
GPT teacher head0.234
Teacher spread0.193 · 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

Citations26
Published2011
Admission routes1
Has abstractyes

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