{"id":"W1987310458","doi":"10.1109/fpl.2014.6927469","title":"Using buffer-to-BRAM mapping approaches to trade-off throughput vs. memory use","year":2014,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Throughput; Chip; Memory management; Physical address; Embedded system; Write buffer; Auxiliary memory; Interleaved memory; Parallel computing; Computer hardware; Semiconductor memory; 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":[0.001209917,0.001331541,0.0005491553,0.001105205,0.0004961456,0.001465097,0.001914364,0.0007957629,0.003606782],"category_scores_gemma":[0.004121372,0.0005086426,0.0004063613,0.001017265,0.0005679806,0.002407541,0.0009940976,0.000856435,0.0007135484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009249,"about_ca_system_score_gemma":0.001006663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238833,"about_ca_topic_score_gemma":0.002768749,"domain_scores_codex":[0.999111,0.0002815404,0.00005625414,0.0001604574,0.0002735336,0.0001171524],"domain_scores_gemma":[0.9980848,0.001158999,0.0002520776,0.0002532607,0.00019591,0.00005491772],"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":[0.000421016,0.0002713262,0.002050605,0.0004518444,0.0001025425,0.0001504153,0.000213669,0.6913049,0.07869564,0.02591173,0.00261642,0.1978099],"study_design_scores_gemma":[0.00003207225,0.0001880116,0.0003087161,0.00002445535,0.00003472974,0.00008235416,0.00004308777,0.9316168,0.04969071,0.01451942,0.003431864,0.00002773939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04491636,0.0004163483,0.9462737,0.0001908263,0.00004252063,0.0001107336,0.0001009124,0.003015867,0.004932672],"genre_scores_gemma":[0.4732511,0.0003719156,0.5221317,0.0001272875,0.00002662313,0.0002058825,0.00011612,0.0006724945,0.003096815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003606782,"threshold_uncertainty_score":0.01206595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1823433303480427,"score_gpt":0.2808381092267489,"score_spread":0.0984947788787062,"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."}}