{"id":"W2083469609","doi":"10.5555/2133429.2133470","title":"Credit borrow and repay: sharing DRAM with minimum latency and bandwidth guarantees","year":2010,"lang":"en","type":"article","venue":"International Conference on Computer Aided Design","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Dram; Latency (audio); Computer network; Cache; Quality of service; Scheduling (production processes); Bandwidth (computing); CAS latency; Distributed computing; Operating system; Computer hardware; Memory controller; Telecommunications","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":[0.001748051,0.0007938123,0.001168775,0.0006958167,0.001130338,0.00120208,0.003923334,0.0008752162,0.001889935],"category_scores_gemma":[0.005701218,0.0004679586,0.0003899193,0.001115269,0.000940093,0.002861104,0.001692452,0.001177618,0.0003554877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091115,"about_ca_system_score_gemma":0.002049804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003210291,"about_ca_topic_score_gemma":0.003315543,"domain_scores_codex":[0.9987589,0.0002743593,0.00008902293,0.0002356385,0.0003921274,0.0002499965],"domain_scores_gemma":[0.9973453,0.0006437235,0.0004800185,0.0008996356,0.0004080809,0.0002233364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00376005,0.0007054932,0.006313696,0.0003541156,0.0002235179,0.0005635875,0.0008299003,0.4389999,0.09505556,0.05493345,0.01426106,0.3839996],"study_design_scores_gemma":[0.0001919772,0.0004597842,0.0005496762,0.00001385013,0.00006108098,0.0003245384,0.0001191132,0.9536318,0.02678606,0.01345346,0.004351829,0.00005687377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2676832,0.00140069,0.721572,0.0006834996,0.0001598259,0.0002647164,0.0001781046,0.002696669,0.00536115],"genre_scores_gemma":[0.907716,0.000188382,0.08964994,0.0001594711,0.00008423493,0.0000978878,0.00009099007,0.0001293235,0.001883885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003923334,"threshold_uncertainty_score":0.00924468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03214478053717342,"score_gpt":0.2695137968092831,"score_spread":0.2373690162721096,"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."}}