{"id":"W2026332870","doi":"10.1145/2367736.2367739","title":"Technology-driven limits on runtime power management algorithms for multiprocessor systems-on-chip","year":2012,"lang":"en","type":"article","venue":"ACM Journal on Emerging Technologies in Computing Systems","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Frequency scaling; MPSoC; Computer science; Power management; Controller (irrigation); Chip; Voltage; Reliability (semiconductor); Embedded system; System on a chip; Power (physics); Electronic engineering; Engineering; Electrical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001473331,0.0006648661,0.0007952902,0.002506685,0.0004200225,0.0001999588,0.002086568,0.0005916228,0.000001629195],"category_scores_gemma":[0.0004951118,0.0005860651,0.0001478927,0.001246287,0.0001046096,0.0002891335,0.0003054484,0.001521278,0.0001190933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008300446,"about_ca_system_score_gemma":0.00001676982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002021021,"about_ca_topic_score_gemma":2.188799e-7,"domain_scores_codex":[0.9961224,0.00006341997,0.001155732,0.0005171106,0.0006511575,0.001490141],"domain_scores_gemma":[0.9975853,0.0004587737,0.0004277372,0.001290928,0.0001353781,0.0001019058],"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":[0.00008939805,0.0003946462,0.007774276,0.001152704,0.0006123151,0.0001440516,0.0006430278,0.9212358,0.0008592084,0.01306817,0.01073446,0.04329192],"study_design_scores_gemma":[0.005527951,0.002192454,0.001243521,0.01410694,0.0001386658,0.0007558635,0.01133863,0.8979223,0.009807457,0.0008167255,0.05305281,0.003096665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8998222,0.007011577,0.05587966,0.001426863,0.02018345,0.003213159,0.00002204982,0.0101242,0.002316777],"genre_scores_gemma":[0.9861585,0.0002847816,0.01274263,0.00003698003,0.0003753431,0.0001603361,0.000002816505,0.0001608742,0.00007775579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08633622,"threshold_uncertainty_score":0.9996591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475283800461722,"score_gpt":0.2709310862424265,"score_spread":0.2461782482378093,"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."}}