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Record W2010742926 · doi:10.1109/ccece.2008.4564719

Modeling and simulation of multicore multithreaded processor architectures in SystemC

2008· article· en· W2010742926 on OpenAlex
Nicholas Ma, Naraig Manjikian, Subramania I. Sudharsanan

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueConference proceedings - Canadian Conference on Electrical and Computer Engineering · 2008
Typearticle
Languageen
FieldComputer Science
TopicInterconnection Networks and Systems
Canadian institutionsQueen's University
Fundersnot available
KeywordsSystemCComputer scienceMulti-core processorParallel computingMultithreadingTRACE (psycholinguistics)Transaction-level modelingWorkloadComputer architectureInstruction setMicroarchitectureEmbedded systemOperating systemThread (computing)

Abstract

fetched live from OpenAlex

This paper describes a transaction-level simulation model of a multicore, multithreaded architecture and the usage of an application model that generates synthetic single-or multi-threaded execution traces to drive the simulation. The transaction-level model is implemented in SystemC. The parameters for the application model are determined from an analysis of an actual application trace so that the synthetic trace has representative behavior. Results are presented from simulations that use the application model for three different multithreaded workload scenarios with varying degrees of data sharing among the threads within each processor core and across all processor cores. The results demonstrate the impact on performance for the different workloads as the number of cores and the number of threads per core are varied.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.886

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.026
GPT teacher head0.213
Teacher spread0.186 · 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