{"id":"W2110019232","doi":"10.1109/icpp.2009.9","title":"On the Scalability of Parallel Verilog Simulation","year":2009,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Verilog; Electronic circuit; Scalability; Bottleneck; Hardware description language; Parallel computing; Computer hardware; Embedded system; Field-programmable gate array; Electrical engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004228818,0.0009599695,0.0007091651,0.0008163078,0.0006552409,0.00133157,0.001619494,0.000693544,0.005053717],"category_scores_gemma":[0.02260209,0.0006808463,0.0005927289,0.0009655709,0.001226651,0.00462827,0.001373825,0.001322189,0.0007300465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268216,"about_ca_system_score_gemma":0.001652287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005924927,"about_ca_topic_score_gemma":0.004372216,"domain_scores_codex":[0.9970871,0.001126926,0.0001602028,0.0004614299,0.0009381063,0.0002263144],"domain_scores_gemma":[0.9798166,0.01371959,0.000662255,0.004091116,0.001510291,0.0002001087],"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":[0.0009102187,0.000245891,0.009873262,0.0002891338,0.0001258508,0.0003429736,0.0004469333,0.786038,0.0329163,0.03564638,0.004701821,0.1284632],"study_design_scores_gemma":[0.00003968361,0.00007343353,0.0004029288,0.00001915732,0.00002245302,0.00005997849,0.00004207196,0.9773632,0.00835024,0.01215372,0.001460589,0.00001258588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.45883,0.001680182,0.4987197,0.002380655,0.0001482529,0.0002407104,0.0006156289,0.01307204,0.02431293],"genre_scores_gemma":[0.8941661,0.0004869014,0.1021218,0.0001837224,0.00004047632,0.0001674596,0.0004881386,0.0005793046,0.001766154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005924927,"threshold_uncertainty_score":0.02236438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184983870908339,"score_gpt":0.2792098056389564,"score_spread":0.257359966929873,"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."}}