{"id":"W2475475907","doi":"10.1109/tetc.2016.2594957","title":"Efficient Performance Evaluation of Multi-Core SIMT Processors with Hot Redundancy","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computing","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Redundancy (engineering); Parallel computing; Multi-core processor; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001027252,0.0007314201,0.0004162226,0.0007221582,0.0002708983,0.0004489361,0.0007148386,0.0003619827,0.002229675],"category_scores_gemma":[0.002934486,0.000253251,0.0003571504,0.0008066372,0.0004309589,0.0007277022,0.0004150409,0.0003728285,0.0003641618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006981565,"about_ca_system_score_gemma":0.0005708871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063096,"about_ca_topic_score_gemma":0.001246048,"domain_scores_codex":[0.9993194,0.0001750251,0.00002993324,0.00008634822,0.0002942972,0.0000950356],"domain_scores_gemma":[0.998295,0.0008702015,0.000190918,0.0002279771,0.0003687804,0.00004713089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008717342,0.0001235874,0.006081134,0.0002144611,0.00006546035,0.0002172792,0.0000985427,0.9124591,0.03054654,0.003081106,0.001399134,0.0448419],"study_design_scores_gemma":[0.00001566435,0.0002355378,0.001186089,0.000004560452,0.000008633437,0.00003260363,0.0000196487,0.9795725,0.01808558,0.0005194787,0.0003142569,0.000005521727],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8995621,0.0005026424,0.08805763,0.0002438402,0.00003110167,0.00007663647,0.0004415334,0.001889031,0.009195472],"genre_scores_gemma":[0.9838206,0.00007507623,0.0149777,0.00002405987,0.000009074738,0.00003408547,0.0002376505,0.00007728467,0.0007445033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002229675,"threshold_uncertainty_score":0.007458985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05180314228324294,"score_gpt":0.3005604238901373,"score_spread":0.2487572816068943,"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."}}