{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003645158,0.00003632593,0.00007473148,0.00005509167,0.00002054212,0.00001714741,0.0004163653,0.00003385207,0.000003732792],"category_scores_gemma":[0.00003976541,0.00003132267,0.00001081317,0.0001653555,0.00006551722,0.00009952838,0.0002698567,0.0001085305,6.820213e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002793996,"about_ca_system_score_gemma":0.00001092524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007626973,"about_ca_topic_score_gemma":0.00006385754,"domain_scores_codex":[0.9996189,0.00003664524,0.000126169,0.0001043878,0.00005091098,0.00006298794],"domain_scores_gemma":[0.9994293,0.00006018593,0.00002988131,0.0004308581,0.00002500288,0.00002473045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003704544,0.0002256044,0.3871224,0.00002488051,0.00000367086,8.713685e-7,0.001036296,0.00017124,0.002391558,0.5648516,0.000319435,0.04384874],"study_design_scores_gemma":[0.0003852855,0.00007604251,0.3632093,0.00002135654,0.000001074386,0.000007717728,0.00002274638,0.5755855,0.01732176,0.04256809,0.0005837902,0.0002172634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6174746,0.00002124554,0.3771146,0.000323738,0.00003442145,0.0000492968,1.003748e-7,0.0001319473,0.004850041],"genre_scores_gemma":[0.7429791,0.000006523077,0.2569607,0.00004064542,0.000001677832,0.000001003793,9.988233e-8,9.169972e-7,0.000009381082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5754143,"threshold_uncertainty_score":0.1277302,"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."}}