{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000222764,0.0003332616,0.0002070697,0.0004376893,0.0003232974,0.0004029607,0.0007209892,0.0002786054,0.002660603],"category_scores_gemma":[0.0007500327,0.0001684872,0.0001919195,0.0005173427,0.0002735234,0.0006754285,0.0003960421,0.0003490389,0.0003414464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007290453,"about_ca_system_score_gemma":0.0006381594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00284402,"about_ca_topic_score_gemma":0.00419913,"domain_scores_codex":[0.9998087,0.0000371291,0.00001609264,0.00003290196,0.00006715905,0.00003804317],"domain_scores_gemma":[0.9996545,0.0001005852,0.00003752137,0.00008147495,0.00008589908,0.00003994061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001192822,0.0003531524,0.005224578,0.0005455535,0.0001026551,0.0008510692,0.0004727216,0.3157027,0.3260137,0.02782046,0.01533951,0.3063811],"study_design_scores_gemma":[0.0001496378,0.001253242,0.003202768,0.00003819174,0.00007575117,0.0003626944,0.0001165221,0.8363743,0.1250582,0.007914411,0.02538931,0.00006501245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4832204,0.0004903431,0.4928928,0.0002107405,0.00008566469,0.0001663637,0.0003534783,0.01056925,0.01201111],"genre_scores_gemma":[0.8114573,0.0001656304,0.1850656,0.00004682887,0.0000177254,0.00008092593,0.0004039048,0.0001896157,0.002572441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00284402,"threshold_uncertainty_score":0.008900583,"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."}}