{"id":"W2150713456","doi":"10.1109/padsw.2000.884646","title":"The effect of average parallelism and CPU-I/O overlap on application speedup","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Speedup; Parallel computing; Computer science; Parallelism (grammar); Central processing unit; Data parallelism; Task parallelism; Operating system","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":[0.002048298,0.000620454,0.0006411799,0.0006677904,0.0004442262,0.001300911,0.000504043,0.0004337481,0.001098161],"category_scores_gemma":[0.0255462,0.0003764067,0.0002662996,0.0008244669,0.001266012,0.002089457,0.001101726,0.0007021019,0.000227871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005043379,"about_ca_system_score_gemma":0.0007355714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006168652,"about_ca_topic_score_gemma":0.0005003547,"domain_scores_codex":[0.9983015,0.0004865135,0.00007589028,0.0002509205,0.0005327821,0.0003523502],"domain_scores_gemma":[0.9561617,0.03840278,0.00200672,0.001738398,0.001097868,0.0005926078],"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":[0.003417242,0.0003392593,0.05079825,0.0005809594,0.0001984486,0.0009527878,0.0005763682,0.5803315,0.1512658,0.03852523,0.001286555,0.1717277],"study_design_scores_gemma":[0.00006340785,0.00104917,0.03028186,0.00006378783,0.0001707639,0.0008829891,0.0002088543,0.7675792,0.1764722,0.02106846,0.002097448,0.00006188729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9212567,0.002461751,0.0656698,0.0003165299,0.00003315774,0.00002509297,0.0001278909,0.0004552077,0.009653927],"genre_scores_gemma":[0.9959434,0.0003787911,0.003317228,0.00001690573,0.00002561489,0.00001018801,0.00003290849,0.00004206613,0.0002328963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002048298,"threshold_uncertainty_score":0.01083255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00798378583512093,"score_gpt":0.2273835621053955,"score_spread":0.2193997762702746,"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."}}