{"id":"W2038336488","doi":"10.1109/ipdpsw.2010.5470773","title":"FG-MPI: Fine-grain MPI for multicore and clusters","year":2010,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Message Passing Interface; Parallel computing; Message passing; Multi-core processor; Programming paradigm; Implementation; Programming language","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":[0.0002200848,0.00008732833,0.00009095649,0.00006427899,0.0001102819,0.0001287189,0.0003589273,0.00006182618,0.000005199641],"category_scores_gemma":[0.00007862072,0.00007344774,0.00003320158,0.0000972241,0.00003623644,0.0001446013,0.0001515235,0.00009105176,0.000004600205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004270656,"about_ca_system_score_gemma":0.00001884641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001919006,"about_ca_topic_score_gemma":0.00003404763,"domain_scores_codex":[0.9993677,0.00001340097,0.0001294235,0.0002485862,0.0000761906,0.0001647297],"domain_scores_gemma":[0.9994311,0.0001112755,0.00004040556,0.0002840963,0.00006380243,0.00006937264],"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":[0.00003608659,0.0002557759,0.005720923,0.00008601252,0.00005121143,0.000009129319,0.002475841,0.002550728,0.008677376,0.3323289,0.2968713,0.3509367],"study_design_scores_gemma":[0.0003265726,0.00005234031,0.0007010268,0.000003953588,0.00000192738,0.000008304522,0.000004936886,0.9807705,0.002871101,0.003751046,0.01136414,0.0001441104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00695852,0.00001520474,0.9886814,0.001443019,0.0003077457,0.000193522,0.000001164219,0.0005237322,0.001875714],"genre_scores_gemma":[0.2442376,0.000003048571,0.7540494,0.0005402218,0.00005030096,0.00001421789,0.00000217821,0.000005451809,0.001097557],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9782198,"threshold_uncertainty_score":0.2995112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432870985272554,"score_gpt":0.2682950694887831,"score_spread":0.2539663596360576,"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."}}