{"id":"W1984036659","doi":"10.1145/2421648.2421659","title":"Lockless multi-core high-throughput buffering scheme for kernel tracing","year":2012,"lang":"en","type":"article","venue":"ACM SIGOPS Operating Systems Review","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Tracing; Scalability; Kernel (algebra); Interrupt; Distributed computing; Parallel computing; Context switch; Synchronization (alternating current); Latency (audio); Context (archaeology); Operating system; Embedded system; Computer network","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":[0.0009588837,0.0004807154,0.0005752085,0.001120094,0.0007858857,0.001160824,0.002995862,0.0004599807,0.001725232],"category_scores_gemma":[0.002687249,0.0003150474,0.000295641,0.0009302736,0.0006345983,0.001487132,0.001092289,0.0009162456,0.0004578042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647913,"about_ca_system_score_gemma":0.001511305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001959148,"about_ca_topic_score_gemma":0.002345443,"domain_scores_codex":[0.999369,0.00009915481,0.00005586151,0.0001450157,0.0002273027,0.0001037475],"domain_scores_gemma":[0.9978948,0.0003169933,0.0002671393,0.0009405485,0.0004352946,0.000145159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001877445,0.0004265454,0.006587855,0.0006512551,0.0001618076,0.0002986997,0.0008884936,0.06660713,0.2792369,0.07406618,0.007474389,0.5617232],"study_design_scores_gemma":[0.0001853152,0.001091566,0.002359555,0.00007986245,0.0001746002,0.0005247384,0.00008914459,0.7317425,0.2247401,0.01547808,0.02341111,0.0001233807],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08076785,0.001293096,0.9058304,0.0001267959,0.0001450033,0.000178252,0.00008065338,0.008738256,0.002839768],"genre_scores_gemma":[0.7441483,0.0002399051,0.2525938,0.00009791256,0.00003886849,0.0001247755,0.0001134155,0.0002387541,0.002404265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002995862,"threshold_uncertainty_score":0.01195657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0794794799842234,"score_gpt":0.3338081209162694,"score_spread":0.254328640932046,"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."}}