{"id":"W2112357522","doi":"10.1109/clustr.2002.1137731","title":"Supporting MPI collective communication on network processors","year":2003,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Myrinet; Computer science; Message Passing Interface; Message passing; Latency (audio); InfiniBand; Operating system; Parallel computing; Telecommunications","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":[0.00174004,0.0005771234,0.0006753339,0.0006825104,0.001987793,0.002038059,0.002796214,0.0009609222,0.006625974],"category_scores_gemma":[0.007678791,0.0004358763,0.0005030874,0.001223415,0.0008527616,0.00264508,0.002715491,0.00204922,0.002758676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008121336,"about_ca_system_score_gemma":0.002026116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003902723,"about_ca_topic_score_gemma":0.004959161,"domain_scores_codex":[0.9982859,0.0004532351,0.00008505143,0.0001448312,0.0007834649,0.0002474691],"domain_scores_gemma":[0.9955145,0.0009935314,0.0002181115,0.001924998,0.001083834,0.0002650803],"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":[0.001563446,0.0007518234,0.01019859,0.0009189316,0.0002330718,0.001346263,0.002706137,0.08197769,0.1111945,0.2261765,0.1120024,0.4509307],"study_design_scores_gemma":[0.0001823853,0.0002112225,0.001728857,0.00007610024,0.00008380316,0.0003389088,0.0003455923,0.6374485,0.07416825,0.05604918,0.2292308,0.0001363997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05963416,0.0003544595,0.8758591,0.001325362,0.0004759016,0.0002155319,0.0002275797,0.0255127,0.03639518],"genre_scores_gemma":[0.4728282,0.0005170026,0.4979236,0.0003650553,0.0004210477,0.0006544735,0.001556974,0.00365281,0.02208082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006625974,"threshold_uncertainty_score":0.02216613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914783233043472,"score_gpt":0.2937495588809166,"score_spread":0.2746017265504819,"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."}}