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Record W2060429008 · doi:10.1109/dsd.2004.29

Automatic mapping of parallel applications onto multi-processor platforms: a multimedia application

2004· article· en· W2060429008 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

VenueDigital Systems Design · 2004
Typearticle
Languageen
FieldComputer Science
TopicInterconnection Networks and Systems
Canadian institutionsSTMicroelectronics (Canada)
Fundersnot available
KeywordsComputer scienceVideo Graphics ArrayComponent (thermodynamics)EncoderComputer architectureProgramming paradigmEmbedded systemProgramming languageOperating systemField-programmable gate array

Abstract

fetched live from OpenAlex

This paper reviews the challenges in the design of emerging complex systems-on-a-chip (SoC) at STMicroelectronics, from the perspective of our customers' requirements. We then present an approach to effectively integrate heterogenous parallel components - H/W or S/W - into a homogeneous programming environment. This approach, supported by ST's MultiFlex multi-processing SoC environment, allows for the combination of a range of heterogeneous processing elements, supported by high-level programming models. Two programming models are supported: a distributed system object component (DSOC) message passing model, and a symmetrical multi-processing (SMP) model using shared memory. To illustrate the concepts discussed in this paper, we have applied the MultiFlex technology to the mapping of a high-level MPEG4 video encoder (VGA resolution at 30 frames per second) onto a mixed multi-processor and hardware platform.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.034
GPT teacher head0.241
Teacher spread0.207 · 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