{"id":"W2013002675","doi":"10.1109/icpp.2012.15","title":"Added Concurrency to Improve MPI Performance on Multicore","year":2012,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Parallel computing; Concurrency; Multi-core processor; Context switch; Implementation; Cache; Message Passing Interface; Distributed computing; Scheduling (production processes); Message passing; Context (archaeology); Synchronization (alternating current); Operating system; Programming language; Computer network; Channel (broadcasting)","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":[0.002950982,0.001127366,0.0007352115,0.0009730069,0.001111808,0.001476787,0.002221588,0.0005442952,0.003111726],"category_scores_gemma":[0.0157757,0.0006590132,0.0007982958,0.002037793,0.0009633527,0.002926016,0.00334247,0.002591292,0.0008282448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008413466,"about_ca_system_score_gemma":0.001773425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003603377,"about_ca_topic_score_gemma":0.006840175,"domain_scores_codex":[0.9969838,0.0005089067,0.0001976837,0.00030805,0.001621885,0.0003795651],"domain_scores_gemma":[0.9934818,0.001830895,0.0003494904,0.002580605,0.001379249,0.000377881],"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":[0.001460541,0.001230612,0.02502112,0.0008662872,0.0003933366,0.0008741213,0.001466418,0.3924559,0.1963037,0.06270772,0.01329444,0.3039258],"study_design_scores_gemma":[0.0005065085,0.0004623068,0.008396617,0.0001353849,0.0001966051,0.0004018724,0.000200088,0.755083,0.1677841,0.03150397,0.03517057,0.000159077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3224208,0.002183512,0.6191377,0.00153229,0.0005506757,0.0004306697,0.000243612,0.0240732,0.02942748],"genre_scores_gemma":[0.627797,0.0003935851,0.3651001,0.0002621623,0.0001324757,0.0002048663,0.0003306784,0.001461877,0.004317199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003603377,"threshold_uncertainty_score":0.01560646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158592680802049,"score_gpt":0.274961348347367,"score_spread":0.2533754215393466,"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."}}