{"id":"W2081664133","doi":"10.1109/nas.2014.43","title":"iCHAT: Inter-cache Hardware-Assistant Data Transfer for Heterogeneous Chip Multiprocessors","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":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Cache; Speedup; Parallel computing; Central processing unit; Cache coherence; CPU cache; Cache algorithms; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006490119,0.0008337517,0.0005151728,0.0008882551,0.0006555717,0.0009213779,0.00270715,0.0005386719,0.002521861],"category_scores_gemma":[0.001148452,0.0003306668,0.0005895124,0.0009747266,0.0005369951,0.001532592,0.001320282,0.0009054552,0.0005780507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009198696,"about_ca_system_score_gemma":0.00142569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00276412,"about_ca_topic_score_gemma":0.003234207,"domain_scores_codex":[0.9992511,0.0001285958,0.00006023918,0.0001116079,0.0003026979,0.0001457653],"domain_scores_gemma":[0.9991033,0.0001507552,0.0001155074,0.00033038,0.0002194882,0.00008060662],"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":[0.001899929,0.000641621,0.01479615,0.0009337898,0.0004784411,0.001178429,0.000741659,0.1549276,0.1564596,0.02261749,0.0499091,0.5954163],"study_design_scores_gemma":[0.000337099,0.001196324,0.004338072,0.0000521452,0.0001660001,0.0005536483,0.0001789665,0.7969955,0.1436062,0.008799193,0.04364776,0.0001291192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1797131,0.002576165,0.7750961,0.0003953274,0.0003239938,0.0005217569,0.0005471738,0.03018972,0.01063667],"genre_scores_gemma":[0.7498518,0.0004174985,0.2406027,0.0003340975,0.00009568668,0.0004141898,0.001305862,0.0006787084,0.006299516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00276412,"threshold_uncertainty_score":0.008436501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04800564095555751,"score_gpt":0.2883237089981285,"score_spread":0.240318068042571,"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."}}