{"id":"W2049492770","doi":"10.1109/hpcs.2007.23","title":"On the Programming Impact ofMulti-Core,Multi-Processor Nodes inMPI Clusters","year":2007,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Multi-core processor; Parallel computing; Core (optical fiber); Cluster (spacecraft); Code (set theory); Cache; Process (computing); Dual (grammatical number); Computer cluster; Distributed computing; Computer network; Operating system; Set (abstract data type); Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009274695,0.0001730995,0.0001236748,0.0001256546,0.000232699,0.0002303645,0.0009528971,0.00006845137,0.00001272869],"category_scores_gemma":[0.0001256768,0.0001010028,0.00009159566,0.0004107976,0.00005413735,0.0001968492,0.0001846137,0.0001749165,0.00004411929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006996413,"about_ca_system_score_gemma":0.00004813253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000341568,"about_ca_topic_score_gemma":0.00001102766,"domain_scores_codex":[0.9987646,0.00002861585,0.0002537458,0.0003196362,0.0002559111,0.0003774962],"domain_scores_gemma":[0.9988962,0.0003088363,0.0001099177,0.0004851056,0.000107836,0.00009214781],"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":[0.0001744653,0.001308691,0.005532942,0.00006143846,0.0001998365,0.00006744494,0.008093626,0.05212754,0.0009229528,0.3325655,0.02678172,0.5721638],"study_design_scores_gemma":[0.0004531147,0.0001993092,0.002145305,0.00004127929,0.000004359491,0.0000150253,0.00004931413,0.9886672,0.005141862,0.002131494,0.0007889954,0.0003627769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009464628,0.00002571612,0.9810557,0.0004323493,0.00006675471,0.0002509931,2.56759e-7,0.0009766727,0.007726872],"genre_scores_gemma":[0.5990106,0.000001960789,0.398283,0.0009916725,0.00002297488,0.000007221244,9.112055e-7,0.000009718587,0.001671942],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9365396,"threshold_uncertainty_score":0.4118775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04430508278412269,"score_gpt":0.3315388588854897,"score_spread":0.287233776101367,"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."}}