{"id":"W7096611084","doi":"","title":"Managing Compilation Overheads in a Runtime Specializer for OpenMP Abstract","year":2008,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compiler; Runtime system; Benchmark (surveying); Java; Key (lock); Spec#; Optimizing compiler; Just-in-time compilation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001212147,0.0006550377,0.0007789005,0.0008082881,0.0006002949,0.0009967311,0.002445212,0.0005658978,0.001591602],"category_scores_gemma":[0.004016049,0.0008054836,0.0004213686,0.0007186048,0.0006544733,0.001791376,0.001951255,0.001308065,0.000340134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004886945,"about_ca_system_score_gemma":0.0008633301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006696105,"about_ca_topic_score_gemma":0.001519727,"domain_scores_codex":[0.9986917,0.0003481671,0.0001080263,0.0002065378,0.0004494997,0.0001960336],"domain_scores_gemma":[0.9950858,0.001973806,0.000706651,0.001653596,0.0004039008,0.0001763063],"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":[0.003664278,0.0008377363,0.0206461,0.0006679029,0.0002633094,0.001617015,0.0008487146,0.1126177,0.3085967,0.01552031,0.01639226,0.518328],"study_design_scores_gemma":[0.0002602914,0.0007297211,0.00805515,0.00005613172,0.0001665444,0.0006488572,0.0001272932,0.7388784,0.232253,0.004596771,0.01411011,0.0001176826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.580322,0.0009581108,0.3656147,0.0003109228,0.0001547162,0.0001864209,0.0001635114,0.04816926,0.004120362],"genre_scores_gemma":[0.7987871,0.000198163,0.1948011,0.0002082015,0.0001128195,0.0001463036,0.0003341457,0.0030744,0.002337735],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002445212,"threshold_uncertainty_score":0.006410539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0402471859131741,"score_gpt":0.2890657538307695,"score_spread":0.2488185679175954,"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."}}