{"id":"W2100297149","doi":"10.1145/339647.339680","title":"Performance analysis of the Alpha 21264-based Compaq ES40 system","year":2000,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"PQ Corporation (Canada)","funders":"","keywords":"Computer science; Microprocessor; Profiling (computer programming); Memory bandwidth; Operating system; Embedded system; Cache; x86; Benchmark (surveying); CPU cache; Multiprocessing; Computer architecture; Parallel computing; Software","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002187944,0.00008027095,0.0001803858,0.0001331758,0.0001159868,0.00004079193,0.0009343329,0.000030765,0.00006758407],"category_scores_gemma":[0.000003332875,0.00005214268,0.0001306902,0.001587453,0.0000351725,0.00009364336,0.00005756189,0.00005173031,0.00001333854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002499639,"about_ca_system_score_gemma":0.00003623444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005541841,"about_ca_topic_score_gemma":0.00000399455,"domain_scores_codex":[0.9991727,0.00006976903,0.0002280599,0.0001823552,0.0002193386,0.0001277295],"domain_scores_gemma":[0.9991156,0.00004464921,0.00008362967,0.0006549461,0.00007071104,0.00003040016],"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":[0.000004112284,0.00005100272,0.01026823,0.00002502429,0.0001054107,4.615827e-7,0.0001249254,0.9626353,0.00002381659,0.006300604,0.0007422538,0.01971884],"study_design_scores_gemma":[0.00007565464,0.00001770585,0.01229225,0.00001933687,0.00003821011,7.312833e-7,0.000003547515,0.9840657,0.002644182,0.000004293546,0.0007695849,0.00006886428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1052614,0.00002034601,0.8525676,0.0002396051,0.00006060626,0.00009602913,0.000001112035,0.0005215672,0.04123185],"genre_scores_gemma":[0.9445235,0.000003332074,0.05429902,0.0001874468,0.000007086215,0.000003470562,0.00000123497,0.00000269991,0.0009721894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8392622,"threshold_uncertainty_score":0.2126317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009807210409860259,"score_gpt":0.2214110282437221,"score_spread":0.2116038178338618,"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."}}