{"id":"W3088770438","doi":"10.1145/3407904","title":"Approximate Cache in GPGPUs","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Embedded Computing Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Cache; Parallel computing; Cache algorithms; Cache pollution; Cache invalidation; Cache coloring; Smart Cache; Cache-oblivious algorithm; Page cache; Thread (computing); CPU cache; Operating 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004420248,0.0002568433,0.0003603364,0.0002343131,0.0002185657,0.0002672714,0.001571135,0.0001269892,0.000003938189],"category_scores_gemma":[0.00006430678,0.0002631047,0.0001063041,0.001117219,0.0000296786,0.0002374747,0.00005093374,0.0004330061,0.00005818778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009126209,"about_ca_system_score_gemma":0.00006393649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008042382,"about_ca_topic_score_gemma":0.0000022523,"domain_scores_codex":[0.9977285,0.0002596466,0.0005711246,0.0006791583,0.0003391776,0.0004224509],"domain_scores_gemma":[0.9985074,0.0002183501,0.0001371139,0.0008841775,0.00008168065,0.0001712178],"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":[0.00001180929,0.0001029883,0.00005093189,0.00006020557,0.00002304032,0.00002263375,0.003610029,0.9759743,0.0001262092,0.002420156,0.0002806326,0.0173171],"study_design_scores_gemma":[0.0004737751,0.0001209648,0.00003671691,0.0001037641,0.000004650463,0.00002588157,0.0001631515,0.9973541,0.0008254455,0.0002082418,0.0003969083,0.0002864041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003970255,0.0001146843,0.9911476,0.001278067,0.0005049802,0.0003728722,0.000002357576,0.001652507,0.0009566881],"genre_scores_gemma":[0.8551522,0.00001039873,0.144085,0.0005852856,0.00007379599,0.00001871145,0.000002071518,0.00002125586,0.0000511694],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.851182,"threshold_uncertainty_score":0.9999821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03449785459226638,"score_gpt":0.2679640858403253,"score_spread":0.2334662312480589,"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."}}