{"id":"W7127301437","doi":"10.1109/icfpt67023.2025.00032","title":"Heuristic &amp; Expert-Guided Buffer Sizing for Neural Network Inference Applications on FPGAs","year":2025,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Sizing; Artificial neural network; Pipeline (software); Buffer (optical fiber); Heuristic; Throughput; Field-programmable gate array","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":[0.0005273792,0.0007034912,0.0003596999,0.0004886911,0.0003077486,0.0007401903,0.0009775115,0.0005332845,0.005780573],"category_scores_gemma":[0.001778309,0.0003961497,0.0003387057,0.0002968736,0.0004641841,0.0008300763,0.0004590564,0.0005797799,0.0004930276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070741,"about_ca_system_score_gemma":0.001609052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0066016,"about_ca_topic_score_gemma":0.01576412,"domain_scores_codex":[0.9997861,0.00006406402,0.00001297921,0.00003606792,0.0000536936,0.00004701367],"domain_scores_gemma":[0.999341,0.0004343481,0.00005695386,0.00006302872,0.00008342545,0.00002129721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000126672,0.00005397066,0.0007024535,0.0001187568,0.00002391453,0.00008613332,0.00005964528,0.8867913,0.009178779,0.008340681,0.002316921,0.0922007],"study_design_scores_gemma":[0.00001444537,0.00001373086,0.00004596945,0.000006909329,0.000003938564,0.000009538321,0.000009955489,0.9941057,0.002619776,0.002453877,0.0007135107,0.000002705113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07927983,0.0004219199,0.9028183,0.0003290253,0.00006541817,0.00009695676,0.0002106264,0.004125743,0.01265213],"genre_scores_gemma":[0.5507484,0.0001462038,0.4447708,0.0002101916,0.00001614857,0.0001140712,0.000200058,0.0003185133,0.003475561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0066016,"threshold_uncertainty_score":0.01933795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06359660156618083,"score_gpt":0.3668259358889053,"score_spread":0.3032293343227245,"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."}}