{"id":"W2146849645","doi":"10.1109/ipdpsw.2014.202","title":"Reducing Static and Dynamic Power of L1 Data&amp;#x00A0;&amp;#x00A0;Caches in GPGPUs","year":2014,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Cache; Parallel computing; Bottleneck; Cache pollution; Cache invalidation; Smart Cache; Page cache; Cache algorithms; CPU cache; Operating system; Embedded 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009565018,0.0001633067,0.0002754923,0.0002467424,0.00006475643,0.0001082718,0.001037004,0.00006989362,0.00001821572],"category_scores_gemma":[0.0002375571,0.0001487603,0.00002489374,0.0004018591,0.00007460566,0.0004388084,0.0007047727,0.0001422056,0.00001313701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002855576,"about_ca_system_score_gemma":0.00005179598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002508766,"about_ca_topic_score_gemma":0.0001283057,"domain_scores_codex":[0.9983801,0.0001537863,0.0004248495,0.0005487331,0.0002211447,0.0002713775],"domain_scores_gemma":[0.9982186,0.0002493235,0.0001525961,0.001234049,0.00006756721,0.000077851],"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":[0.0001743751,0.002519746,0.03742446,0.001321618,0.000345369,0.00002349399,0.04095545,0.1730236,0.02111129,0.217233,0.05579586,0.4500717],"study_design_scores_gemma":[0.0004453177,0.00009995135,0.004099603,0.0001424989,0.000007213687,0.00002056595,0.00004883413,0.9815282,0.0004309925,0.007316138,0.00546995,0.0003906888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07709658,0.0001216156,0.9189994,0.0004760312,0.0001030144,0.0001254645,0.000003502748,0.0002703514,0.00280401],"genre_scores_gemma":[0.536086,0.00003201498,0.4633403,0.0001237236,0.000006451671,0.00000240646,0.00001417616,0.000007745518,0.0003872254],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8085046,"threshold_uncertainty_score":0.6066267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03293280935808311,"score_gpt":0.300197053347971,"score_spread":0.2672642439898879,"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."}}