{"id":"W2766368205","doi":"10.1145/3125502.3125547","title":"Heterogeneous redundancy to address performance and cost in multi-core SIMT","year":2017,"lang":"en","type":"article","venue":"","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Redundancy (engineering); Computer science; Yield (engineering); Core (optical fiber); Multi-core processor; Parallel computing; Telecommunications; Materials science; Operating system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00005169938,0.0001171584,0.0001241343,0.00003861988,0.00009955332,0.00006415213,0.0001880097,0.00004287775,0.0000638956],"category_scores_gemma":[0.00001160972,0.0001132146,0.0000118999,0.00002649924,0.00002580382,0.0002150026,0.00004298671,0.00008387651,0.00003105085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003562006,"about_ca_system_score_gemma":0.00000344125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002727944,"about_ca_topic_score_gemma":0.0001354176,"domain_scores_codex":[0.9994068,0.000002826772,0.0001345779,0.0001642762,0.00006837563,0.0002231414],"domain_scores_gemma":[0.9995297,0.000008905914,0.00002069353,0.0003486155,0.00001286349,0.00007927609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004357893,0.0001392219,0.2084369,0.0005566234,0.00009969497,0.0001243873,0.002242044,0.116509,0.1374161,0.0003800623,0.001673775,0.5323786],"study_design_scores_gemma":[0.005220385,0.0002916488,0.1514111,0.0007489095,0.00003457002,0.0001006586,0.0004428387,0.5983614,0.136655,0.0001867486,0.1041691,0.00237753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920984,0.0002524666,0.001526498,0.000009068258,0.0002928619,0.0002779558,0.000005784309,0.0000746631,0.005462315],"genre_scores_gemma":[0.9981634,0.0001966039,0.0007918685,0.000074674,0.00003081053,0.00003685607,0.000001705418,0.00002277688,0.000681321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.530001,"threshold_uncertainty_score":0.4616756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07338783389013116,"score_gpt":0.3064905875822849,"score_spread":0.2331027536921538,"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."}}