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Record W2184772890

A Hierarchical Description Language and Packing Algorithm for Heterogenous FPGAs

2010· dissertation· en· W2184772890 on OpenAlexfundno aff
Jason Luu

Bibliographic record

VenueTSpace (University of Toronto) · 2010
Typedissertation
Languageen
FieldEngineering
TopicVLSI and FPGA Design Techniques
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsField-programmable gate arrayComputer scienceProgrammable Array LogicLogic synthesisHierarchyComputer architectureProgrammable logic deviceCombinational logicData flow diagramParallel computingAlgorithmTheoretical computer scienceComputer engineeringLogic optimizationLogic gateEmbedded system
DOInot available

Abstract

fetched live from OpenAlex

The complexity of Field-Programmable Gate Array (FPGAs) logic blocks have undergone constant evolution to the point where both the basic soft logic blocks that implement combinational logic and the fixed-function hard blocks contain complex interconnects, hierarchy and modes. The goal of this thesis is to both support that complexity and enable future architecture exploration of even increased complexity and new kinds of hard functionality. To accomplish this, a Computer-Aided Design (CAD) flow that can map a user circuit to an FPGA with these complex blocks is needed. We propose a new language that can describe these complex blocks and a new area-driven tool for the packing stage of that CAD flow. The packing stage groups components of a user circuit into the complex blocks available on the FPGA. We conduct experiments to illustrate the quality of the packing tool and to demonstrate the newly-enabled architecture exploration capabilities.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.999

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 head0.009
GPT teacher head0.226
Teacher spread0.216 · 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 designOther design
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

Citations3
Published2010
Admission routes1
Has abstractyes

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