{"id":"W2080270089","doi":"10.1145/1950413.1950443","title":"Towards scalable FPGA CAD through architecture","year":2011,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field-programmable gate array; Computer science; Scalability; Compiler; Scaling; CAD; Computer architecture; FPGA prototype; Architecture; Embedded system; Compile time; Parallel computing; Operating system; Engineering","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":[0.00121618,0.0007617068,0.0005269485,0.0008858644,0.0004039936,0.001759779,0.001439253,0.0008575227,0.01279199],"category_scores_gemma":[0.003226992,0.0005571638,0.000447891,0.0008646301,0.0006193978,0.002733435,0.001996349,0.002054411,0.005273216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007841894,"about_ca_system_score_gemma":0.00117609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519767,"about_ca_topic_score_gemma":0.003311497,"domain_scores_codex":[0.9989874,0.0001705746,0.00004211068,0.0001173563,0.0005658471,0.0001167116],"domain_scores_gemma":[0.9986444,0.000263313,0.00004637063,0.0005350276,0.0004248437,0.00008595741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001946909,0.0001490135,0.001228915,0.0005149335,0.00005817018,0.0003112813,0.0002068364,0.06331393,0.05972368,0.1774074,0.05375954,0.6431317],"study_design_scores_gemma":[0.0001643806,0.0003535924,0.00134058,0.0003366586,0.00004939331,0.0006331321,0.0002191966,0.4447165,0.03828655,0.1772377,0.3365932,0.00006911604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03519823,0.006447622,0.8480076,0.003654126,0.0007353139,0.0002056842,0.0003834593,0.01585416,0.08951381],"genre_scores_gemma":[0.1516484,0.004283143,0.8228378,0.0009653472,0.0002665727,0.0002023457,0.0009777866,0.0009309955,0.01788765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01279199,"threshold_uncertainty_score":0.04279345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255252601032832,"score_gpt":0.2163020537836647,"score_spread":0.1907767936803815,"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."}}