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Record W2383809103

Automatic Convert from Single Thread to Multithread

2010· article· en· W2383809103 on OpenAlexvenueno aff
Wang Li-sheng

Bibliographic record

VenueMicrocomputer applications · 2010
Typearticle
Languageen
FieldComputer Science
TopicParallel Computing and Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceThread (computing)ProgrammerParallel computingOperating systemInstruction setProgram structureProgramming language
DOInot available

Abstract

fetched live from OpenAlex

Along with the multi-core desktop processor to be used widespread,applications will be programmed by multithread.Client applications to be programmed by sequence mode will not adopt the new processor,so many of these client applications will be programmed by programmer with the parallel program model.So we must pay much more time and wealth on it.Therefore this paper provides a kind of algorithm,which can convert single thread program to multithread program.Based on this,this paper provided a kind of way,which transforms a signal thread program to multi-threads program.This method is based on the analysis of data dependences,the result of dependence analysis will be showed by directed acyclic graph(DAG).Then we divide the DAG into several sets which with data relationship with others.But there will be no relations between the elements in one set,so we can run these elements command parallel.So a set may run before or after another set.Every set will be a parallel area,the program in it could be executed parallel.We can use kinds of mode,such as Thread and lock or OPENMP,to deal with this area.Then we will get the parallel program.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.894
Threshold uncertainty score0.918

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)0.0000.001

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 head0.011
GPT teacher head0.251
Teacher spread0.240 · 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
GenreMethods

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

Citations0
Published2010
Admission routes1
Has abstractyes

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