{"id":"W2169295182","doi":"10.1109/iccd.2002.1106766","title":"Power-performance trade-offs for energy-efficient architectures: A quantitative study","year":2003,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Energy; University of Alberta; National Science Foundation","keywords":"Computer science; Energy consumption; Baseline (sea); Compiler; Integer programming; Parallel computing; Reduction (mathematics); Design space exploration; Software; Linear programming; Embedded system; Power (physics); Set (abstract data type); Integer (computer science); Computer architecture; Real-time computing; Computer engineering; Algorithm; Mathematics; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666247,0.0008956467,0.0004254178,0.0008547483,0.0002719671,0.0007459021,0.0005971239,0.0005417495,0.002707708],"category_scores_gemma":[0.008469989,0.0004037159,0.0004530456,0.001144743,0.0006828753,0.002436197,0.0003347726,0.0006662716,0.0002352955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006898745,"about_ca_system_score_gemma":0.0003718229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004465414,"about_ca_topic_score_gemma":0.0008486758,"domain_scores_codex":[0.9989713,0.0003470025,0.00004224975,0.0001070517,0.0004293742,0.0001028681],"domain_scores_gemma":[0.9945012,0.004413249,0.0004308447,0.0002698579,0.0003413852,0.00004334985],"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":[0.0002215541,0.00009413482,0.002870848,0.0002973965,0.00005142435,0.00009250815,0.00007585639,0.8960079,0.02483566,0.01761623,0.000543042,0.05729341],"study_design_scores_gemma":[0.00002476266,0.0003872911,0.002751981,0.00002340643,0.00003372803,0.0001589903,0.00006174995,0.9723448,0.01319243,0.009327619,0.001672441,0.00002082915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5847253,0.004314422,0.3915701,0.0007132078,0.00003258768,0.00007608179,0.000282165,0.0004333218,0.01785279],"genre_scores_gemma":[0.96093,0.0006924635,0.03681845,0.00003927902,0.00002489107,0.00006314517,0.0001260101,0.0001092523,0.00119652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002707708,"threshold_uncertainty_score":0.009058237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082721021017792,"score_gpt":0.2785816518967505,"score_spread":0.2577544416865726,"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."}}