{"id":"W2099409206","doi":"10.1109/iccd.1994.331982","title":"Optimal datapath synthesis of partitioned signal processing algorithm for multiple FPGAs","year":2002,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Datapath; Computer science; Field-programmable gate array; Discrete cosine transform; Integer programming; Scheduling (production processes); Algorithm; High-level synthesis; Signal processing; Parallel computing; Digital signal processing; Computer hardware; Mathematics; Mathematical optimization; Artificial intelligence","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":[0.0003993294,0.0008345795,0.0005511196,0.0003561219,0.0002901105,0.000762267,0.000591595,0.0004130345,0.004271231],"category_scores_gemma":[0.0008052303,0.0004019532,0.0004163785,0.0004119288,0.0003226554,0.0006433949,0.0004092601,0.0004885491,0.000410544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009021246,"about_ca_system_score_gemma":0.001371511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002925334,"about_ca_topic_score_gemma":0.004122498,"domain_scores_codex":[0.9997433,0.00006904852,0.00001312676,0.00005079078,0.00007690213,0.00004693976],"domain_scores_gemma":[0.9997242,0.0001509934,0.00003214026,0.00002307779,0.0000558867,0.00001360297],"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":[0.00009228035,0.00003880724,0.0001510126,0.0001034785,0.00001631721,0.00006238144,0.00005065291,0.9078872,0.007296974,0.01104773,0.001396202,0.07185696],"study_design_scores_gemma":[0.0000252555,0.00003602469,0.00002906014,0.000005584966,0.000006258774,0.00001003583,0.00001109041,0.99447,0.001812477,0.002816869,0.000775068,0.000002264384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01672877,0.0001386101,0.97927,0.00009904825,0.00002102653,0.00004724464,0.00005976288,0.0003242065,0.003311279],"genre_scores_gemma":[0.3306137,0.0002001461,0.6648639,0.0000950052,0.00003310066,0.0002688912,0.0002480336,0.0001684938,0.003508842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004271231,"threshold_uncertainty_score":0.01428872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04299750790805436,"score_gpt":0.2616403468215937,"score_spread":0.2186428389135394,"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."}}