{"id":"W2100873809","doi":"10.1109/ccece.2002.1013007","title":"Netlist partitioning for FPGA-based run-time reconfiguration","year":2003,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Netlist; Computer science; Control reconfiguration; Field-programmable gate array; Embedded system; Reconfigurable computing; Computer architecture; Flexibility (engineering); Graph partition; Parallel computing; Graph; Distributed computing; Theoretical computer science","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":[0.0001218905,0.00007536424,0.00007646413,0.00004022759,0.00004983981,0.00005299057,0.00003777101,0.00005424395,0.0004153138],"category_scores_gemma":[0.0000292051,0.00007611821,0.00003869191,0.00006114564,0.000007323567,0.0001705398,8.046375e-7,0.00003671008,0.00004977556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002701528,"about_ca_system_score_gemma":0.00001040271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002280511,"about_ca_topic_score_gemma":0.00000403149,"domain_scores_codex":[0.9996047,0.00001043653,0.0001238914,0.00008415097,0.00004128219,0.0001355475],"domain_scores_gemma":[0.9997839,0.00004101117,0.00001166784,0.0001031427,0.0000277742,0.00003255539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003059668,0.0001235314,0.0003439148,0.0003011506,0.0001004499,0.000005854523,0.0002004893,0.04623651,0.5571278,0.1068068,0.2231752,0.06554777],"study_design_scores_gemma":[0.0002599865,0.00005722642,0.00003812844,0.00002022854,0.000009715172,0.000001896263,0.000008706967,0.09018458,0.8291774,0.001961259,0.07807577,0.0002050661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002826082,0.00005031636,0.9170766,0.00004166578,0.00008654764,0.0002480072,0.000005278163,0.001054942,0.07861052],"genre_scores_gemma":[0.9584063,0.000006875006,0.03951551,0.0001559304,0.00005191176,0.0001568983,0.00004582317,0.00003279915,0.001627971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9555802,"threshold_uncertainty_score":0.4547395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251048295862913,"score_gpt":0.2079641769303218,"score_spread":0.1954536939716927,"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."}}