{"id":"W4229606735","doi":"10.1109/micro.1994.717418","title":"Minimizing register requirements under resource-constrained rate-optimal software pipelining","year":2005,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software pipelining; Computer science; Register allocation; Register (sociolinguistics); Parallel computing; Software; Resource (disambiguation); Computer architecture; Programming language; Computer network; Compiler","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006475345,0.0002013019,0.0001954977,0.0001631863,0.0002327572,0.0002876843,0.0008199684,0.00009703668,0.00006951941],"category_scores_gemma":[0.00009843791,0.0001888343,0.0000851623,0.0003021356,0.00006286604,0.0005575872,0.0003372393,0.0001597286,0.00008134713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006748908,"about_ca_system_score_gemma":0.00006900782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006457355,"about_ca_topic_score_gemma":0.000002249942,"domain_scores_codex":[0.9982643,0.0001175098,0.0004293527,0.0005219604,0.000254216,0.0004127304],"domain_scores_gemma":[0.9988627,0.0001468923,0.0001549155,0.0006141357,0.0000991804,0.0001221092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007931129,0.0004069376,0.00136126,0.00004915475,0.0001478806,0.00005520396,0.004393822,0.4526307,0.001324747,0.07414869,0.169514,0.2958882],"study_design_scores_gemma":[0.001118482,0.0001281546,0.0003075007,0.000118161,0.00001213728,0.00004636528,0.0001567086,0.9348643,0.006184492,0.001195808,0.05510596,0.0007618693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00178535,0.00005440752,0.9731209,0.002282157,0.00008420454,0.0001226312,5.219096e-7,0.001643634,0.02090622],"genre_scores_gemma":[0.1994572,0.000005556219,0.7923298,0.003441628,0.0001160933,0.000007340138,0.000004828534,0.00001542759,0.004622203],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4822336,"threshold_uncertainty_score":0.7700438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03765351019215391,"score_gpt":0.2841889286662994,"score_spread":0.2465354184741455,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}