{"id":"W139764261","doi":"10.1007/978-1-4614-4975-1_1","title":"Fundamental Limits on Run-Time Power Management Algorithms for MPSoCs","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Power (physics); Algorithm; Parallel computing; Physics","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":[0.00191622,0.001335597,0.001095437,0.0006682366,0.0008864069,0.003819059,0.002712254,0.001457005,0.008397887],"category_scores_gemma":[0.01074503,0.0008591826,0.0007282305,0.001136742,0.002383006,0.006746904,0.001985267,0.007550803,0.00227859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645989,"about_ca_system_score_gemma":0.001195598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007829227,"about_ca_topic_score_gemma":0.0006181396,"domain_scores_codex":[0.9984618,0.0002402299,0.00007308671,0.0002171738,0.0008720535,0.0001356272],"domain_scores_gemma":[0.9957514,0.003020536,0.00009732674,0.0006575112,0.000386685,0.00008645017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001019888,0.00005777849,0.0001181801,0.0004247032,0.00003087735,0.0000377797,0.0001713887,0.07342517,0.003783376,0.8094464,0.01051772,0.1018846],"study_design_scores_gemma":[0.00002229491,0.00002422103,0.0001178569,0.0001590812,0.0000171801,0.00007420497,0.00003194232,0.2280587,0.003331645,0.7396082,0.02853527,0.00001933723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01264187,0.02134292,0.830804,0.004724706,0.001691774,0.00006565183,0.0001989345,0.0009704335,0.1275596],"genre_scores_gemma":[0.499353,0.03573627,0.3705375,0.002577828,0.004258222,0.0006186574,0.000547679,0.003195505,0.08317535],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008397887,"threshold_uncertainty_score":0.0280937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596613002662088,"score_gpt":0.2557484556181812,"score_spread":0.2297823255915603,"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."}}