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Record W2156974682 · doi:10.1145/1391469.1391511

Application-driven floorplan-aware voltage island design

2008· article· en· W2156974682 on OpenAlex
Dipanjan Sengupta, Resve Saleh

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
KeywordsFloorplanVoltageComputer scienceIntegrated circuit layoutChipReduction (mathematics)Partition (number theory)System on a chipPower (physics)Parallel computingEmbedded systemElectronic engineeringIntegrated circuitEngineeringElectrical engineeringTelecommunications

Abstract

fetched live from OpenAlex

Among the different methods of reducing power for core-based system-on-chip (SoC) designs, the voltage island technique has gained in popularity. Assigning cores to the different supply voltages and floorplanning to create contiguous voltage islands are the two important steps in the design process. We propose a new application-driven, floorplan-aware approach to voltage partitioning and island creation with the objective of reducing overall SoC power, area and runtime. Previous approaches used the voltage assignment table as the starting point for voltage island creation. In this paper, we present a technique to generate a voltage assignment table using dynamic programming. Next, we partition the cores into islands, based on the Power State Model (PSM) of the application, and connectivity information used in floorplanning. Finally, solutions are sent to the floorplanner in sequence until a valid solution is reached. Compared to previously reported techniques, a 10% reduction in power and 8% reduction in area are achieved using our approach, with an average runtime improvement of 2.3X.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.967
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)0.0000.002

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 head0.012
GPT teacher head0.188
Teacher spread0.176 · 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

Citations28
Published2008
Admission routes1
Has abstractyes

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