{"id":"W2283189482","doi":"10.1109/fpt.2015.7393136","title":"HETRIS: Adaptive floorplanning for heterogeneous FPGAs","year":2015,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Floorplan; Field-programmable gate array; Scalability; Computer science; Control reconfiguration; Computer architecture; Embedded system; Parallel computing","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":[0.00009838108,0.000101682,0.0001130189,0.00006026839,0.00002028306,0.0000201714,0.00008712156,0.00006631328,0.00001472769],"category_scores_gemma":[0.00001633057,0.00009323973,0.00004480136,0.0000655086,0.000008952557,0.00007210288,0.00001202721,0.00005268077,0.00003879703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004515742,"about_ca_system_score_gemma":0.00000884417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008080488,"about_ca_topic_score_gemma":0.000003080109,"domain_scores_codex":[0.9995245,0.0000057871,0.0001093695,0.00009790144,0.00007425677,0.0001882303],"domain_scores_gemma":[0.9997106,0.00002657303,0.000009131133,0.0001152685,0.00004478496,0.00009366083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001851074,0.0001064978,0.0004235295,0.0001612159,0.0004300706,0.000108856,0.002525865,0.1589652,0.01851145,0.006391312,0.6681705,0.1440204],"study_design_scores_gemma":[0.001037437,0.0007204143,0.0000187034,0.00004429037,0.0000364681,0.00008361911,0.0003404904,0.4891979,0.413021,0.007213258,0.08755872,0.000727682],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01122462,0.0008023251,0.9606875,0.00001885441,0.0002315962,0.0003173244,0.00001197054,0.001991473,0.02471432],"genre_scores_gemma":[0.9619501,0.000009300872,0.03737321,0.0000610942,0.0001142335,0.00007489445,0.000006099328,0.00003394407,0.0003770833],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9507255,"threshold_uncertainty_score":0.3802206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05768860992558055,"score_gpt":0.2488131203642336,"score_spread":0.191124510438653,"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."}}