{"id":"W2184772890","doi":"","title":"A Hierarchical Description Language and Packing Algorithm for Heterogenous FPGAs","year":2010,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field-programmable gate array; Computer science; Programmable Array Logic; Logic synthesis; Hierarchy; Computer architecture; Programmable logic device; Combinational logic; Data flow diagram; Parallel computing; Algorithm; Theoretical computer science; Computer engineering; Logic optimization; Logic gate; Embedded system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007315351,0.0001672941,0.0002595932,0.00005465972,0.00009236071,0.00001749151,0.0001374827,0.0003684717,0.0003686768],"category_scores_gemma":[0.000005141467,0.0002215373,0.00009942815,0.00002103,0.00003144836,0.0002030854,0.00001533492,0.0002095595,0.000001428266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009836186,"about_ca_system_score_gemma":0.00001687937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007796086,"about_ca_topic_score_gemma":0.0320425,"domain_scores_codex":[0.9994685,0.00001265909,0.00007039218,0.0001736885,0.0001007559,0.0001739976],"domain_scores_gemma":[0.9996484,0.00002348117,0.00005795037,0.0001536058,0.00004701645,0.00006953631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003522549,0.00002067328,0.000007217348,0.000350745,0.00009131886,0.0000132449,0.02479709,0.000002969858,0.0597692,0.00006956767,0.0003124795,0.9145303],"study_design_scores_gemma":[0.01148951,0.004200847,0.117633,0.003446605,0.003691264,0.0001993626,0.3357392,0.335732,0.1483538,0.0020769,0.0277261,0.009711445],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7866079,0.004909295,0.1864856,0.00002763183,0.0006494579,0.0009891689,0.0001584893,0.0008565283,0.01931594],"genre_scores_gemma":[0.9100609,0.0009974311,0.08489918,0.000005173207,0.0001173016,0.000003349376,0.0004801879,0.00006986201,0.00336665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9048188,"threshold_uncertainty_score":0.9988111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009493425309748777,"score_gpt":0.2257268061039633,"score_spread":0.2162333807942146,"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."}}