{"id":"W2901251593","doi":"10.1145/3243930","title":"Automated Synthesis of Streaming Transfer Level Hardware Designs","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Reconfigurable Technology and Systems","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; High-level synthesis; Compiler; Field-programmable gate array; Register-transfer level; Computer architecture; Parallel computing; Logic synthesis; Embedded system; Computer engineering; Algorithm; Programming language; Logic gate","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003973224,0.0005602319,0.0002552801,0.000419337,0.0002147497,0.0004926785,0.0005476964,0.0002857069,0.003022755],"category_scores_gemma":[0.0009245309,0.0002451586,0.0005106532,0.000286696,0.0003980527,0.0004335918,0.0003232601,0.0004152269,0.0005283965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004477508,"about_ca_system_score_gemma":0.0008322614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007244346,"about_ca_topic_score_gemma":0.001001318,"domain_scores_codex":[0.9996634,0.00007142826,0.00002926622,0.0000489527,0.0001425414,0.00004447228],"domain_scores_gemma":[0.9994757,0.0002540303,0.00006310897,0.00008948558,0.0001039723,0.00001372477],"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":[0.0001940782,0.00009264665,0.001201291,0.000676032,0.00004263008,0.0004263221,0.0002694534,0.5465898,0.1917001,0.0469308,0.002027304,0.2098495],"study_design_scores_gemma":[0.0000335862,0.0002525503,0.0002739515,0.00003747554,0.00002608156,0.0001146635,0.00003102959,0.880723,0.0959006,0.01400173,0.008591231,0.00001411374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0524079,0.0001351355,0.9386864,0.000053256,0.00002618837,0.0001050431,0.0001691694,0.002411826,0.006004937],"genre_scores_gemma":[0.4541822,0.0001904579,0.5423196,0.00005705171,0.00001809899,0.0001817611,0.0004041161,0.0003133569,0.002333322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003022755,"threshold_uncertainty_score":0.01011217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05127269178761057,"score_gpt":0.2731228034457515,"score_spread":0.2218501116581409,"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."}}