{"id":"W1976954520","doi":"10.1145/1851476.1851507","title":"Scalability of communicators and groups in MPI","year":2010,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scalability; Computer science; Message Passing Interface; Message passing; Scale (ratio); Interface (matter); Distributed computing; Computer architecture; Parallel computing; Operating system","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":[0.00545666,0.0008206094,0.0009822362,0.00109263,0.001959919,0.002768545,0.002267278,0.00132284,0.00504914],"category_scores_gemma":[0.02553132,0.0007712811,0.0008210365,0.001358573,0.001967524,0.005819237,0.005093205,0.002927801,0.001935511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009561208,"about_ca_system_score_gemma":0.001899225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001904171,"about_ca_topic_score_gemma":0.001728646,"domain_scores_codex":[0.9903789,0.002880911,0.0005513483,0.0008918493,0.004668936,0.0006281368],"domain_scores_gemma":[0.9868519,0.005670046,0.0007587327,0.003622548,0.002641986,0.0004546875],"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":[0.001408688,0.0005568481,0.0100489,0.001457515,0.0003118931,0.0005374777,0.003911112,0.1891457,0.05871198,0.3241482,0.04165676,0.3681049],"study_design_scores_gemma":[0.0003469504,0.0005291376,0.002483392,0.0002793411,0.0003088647,0.0005484861,0.0007738723,0.5446054,0.06880026,0.202077,0.1789905,0.0002566869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06048763,0.002710584,0.8659208,0.003109906,0.0006015652,0.0006624369,0.0002868715,0.01096101,0.05525922],"genre_scores_gemma":[0.4698696,0.002057541,0.5065263,0.000791548,0.0007131461,0.001188276,0.000650382,0.002891421,0.01531181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00545666,"threshold_uncertainty_score":0.02885789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009724902930769976,"score_gpt":0.2547907177618277,"score_spread":0.2450658148310577,"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."}}