{"id":"W2052930524","doi":"10.1109/fpl.2013.6645515","title":"A high-performance overlay architecture for pipelined execution of data flow graphs","year":2013,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Overlay; Scalability; Field-programmable gate array; Pipeline (software); Stratix; Computer architecture; Parallel computing; Abstraction; Overlay network; Software; Architecture; Throughput; Embedded system; Computer hardware; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004335777,0.0001370926,0.000213593,0.000144335,0.00004941364,0.00006548821,0.001888486,0.00008224815,0.00001911582],"category_scores_gemma":[0.00004044507,0.0001055882,0.00004231109,0.0002944526,0.00003577156,0.001097837,0.0003505321,0.00008070792,0.00001760976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001567197,"about_ca_system_score_gemma":0.00004257111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002185214,"about_ca_topic_score_gemma":0.0000140297,"domain_scores_codex":[0.9987183,0.00004778735,0.0003517963,0.0004143308,0.000237285,0.0002304957],"domain_scores_gemma":[0.9978294,0.0001155555,0.0001415201,0.001688462,0.0001715704,0.00005350644],"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":[0.00003587145,0.0001960526,0.0002938103,0.0005408007,0.00007825636,0.000001442818,0.0007808394,0.0006240305,0.1322751,0.1395492,0.2514788,0.4741458],"study_design_scores_gemma":[0.0004604917,0.0003299052,0.0006047481,0.0000949918,0.000008561756,0.00001433785,0.00001120912,0.8109623,0.1508639,0.03384856,0.002500042,0.0003009524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01289258,0.00003720946,0.9847286,0.0003857422,0.0001571537,0.0008458451,0.00001775446,0.0004057773,0.0005293614],"genre_scores_gemma":[0.4793405,0.000005574055,0.520225,0.0001029909,0.00002947539,0.00007587721,0.00001856304,0.000006779053,0.0001952334],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8103383,"threshold_uncertainty_score":0.4305761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717006953071272,"score_gpt":0.2602762525529136,"score_spread":0.2331061830222009,"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."}}