{"id":"W2039018000","doi":"10.1109/tvlsi.2009.2020727","title":"On the Power Management of Simultaneous Multithreading Processors","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multithreading; Simultaneous multithreading; Computer science; Power management; Power consumption; Leakage (economics); Embedded system; Dynamic demand; Leakage power; Parallel computing; Power (physics); Operating system; Thread (computing)","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":[0.0002617081,0.0002511001,0.0002328624,0.0003066553,0.0002864903,0.0006199681,0.000477442,0.000147564,0.0008806629],"category_scores_gemma":[0.0006840361,0.0001359356,0.0001641412,0.0004296471,0.0002387725,0.0008982607,0.0004027681,0.000211984,0.0001442409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002114377,"about_ca_system_score_gemma":0.0003488464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004192169,"about_ca_topic_score_gemma":0.0008403403,"domain_scores_codex":[0.9997421,0.00005043528,0.00001807251,0.0000443907,0.00009954027,0.00004546394],"domain_scores_gemma":[0.9997374,0.00008604082,0.00003589939,0.00004294239,0.0000794767,0.00001815144],"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":[0.0008789494,0.0001701245,0.005381815,0.0003857455,0.00008072283,0.0003813584,0.0003454462,0.1533227,0.2976926,0.01481089,0.002514896,0.5240347],"study_design_scores_gemma":[0.00008864827,0.001349076,0.004761226,0.00005109722,0.0001318067,0.0007222638,0.0002446527,0.8405146,0.1256621,0.01295086,0.0134972,0.00002645911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6466582,0.007690194,0.3338325,0.0006278935,0.0001257184,0.00006613205,0.00006449945,0.0007780784,0.01015668],"genre_scores_gemma":[0.9863027,0.0006085527,0.01209588,0.00004474639,0.00003341734,0.00001100357,0.0000215913,0.00003418812,0.0008480193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008806629,"threshold_uncertainty_score":0.002946079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116659483398178,"score_gpt":0.2492421286266317,"score_spread":0.2375761802868139,"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."}}