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Record W2131989849 · doi:10.1109/parelec.2006.2

A Delay-Optimal Static Scheduling of DSP Applications Mapped onto Multiprocessor Architectures

2006· article· en· W2131989849 on OpenAlex
Awni Itradat, M.O. Ahmad, Ali Shatnawi

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
FieldComputer Science
TopicEmbedded Systems Design Techniques
Canadian institutionsConcordia University
Fundersnot available
KeywordsComputer scienceMultiprocessingParallel computingDigital signal processingScheduling (production processes)Overhead (engineering)ScheduleProcessor schedulingMultiprocessor schedulingCritical path methodEmbedded systemDynamic priority schedulingComputer hardwareRate-monotonic schedulingOperating systemMathematical optimizationMathematics

Abstract

fetched live from OpenAlex

This paper presents a novel technique to obtain time schedules for cyclic DFGs representing DSP algorithms mapped onto multiprocessor systems with non-negligible inter-processor communication delays. In this paper, the question of optimizing the input/output delay in the presence of inter-processor communication overhead is addressed. The proposed technique operating on the cyclic DFG of a DSP algorithm is designed to evaluate the relative firing times of the nodes by using Floyd-Warshall's longest path algorithm so that the inter-processor communication overhead is taken into consideration to provide an optimal schedule

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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.576
Threshold uncertainty score0.536

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 science0.0010.000
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 head0.010
GPT teacher head0.254
Teacher spread0.244 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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