{"id":"W4402791308","doi":"10.1007/978-3-031-73370-3_5","title":"Improved MPI Collectives for 3D-FFT","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Fast Fourier transform; Parallel computing; Programming language; Algorithm","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":[0.0006410552,0.001328019,0.00143508,0.001300155,0.001811095,0.001672547,0.003791191,0.00110451,0.03312159],"category_scores_gemma":[0.003622491,0.000766844,0.001406717,0.00271032,0.0006581791,0.002301759,0.002862153,0.002458838,0.01414433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008367594,"about_ca_system_score_gemma":0.001058709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005214532,"about_ca_topic_score_gemma":0.01059443,"domain_scores_codex":[0.9991109,0.0001239693,0.0000527252,0.0001017396,0.0005047951,0.0001058715],"domain_scores_gemma":[0.9978014,0.0004227417,0.00007103718,0.0008879491,0.0006813725,0.0001356141],"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":[0.0009740166,0.0003308159,0.001652672,0.0004661089,0.0002071974,0.0004260572,0.0005017692,0.137592,0.02809385,0.096857,0.16506,0.5678386],"study_design_scores_gemma":[0.0002222345,0.00009905097,0.0008773831,0.0000562602,0.00006528053,0.0001904918,0.00008550658,0.821467,0.02054332,0.07799219,0.07829316,0.0001080385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01609922,0.0006598289,0.9084836,0.0006385616,0.001185644,0.00008494364,0.001463417,0.03630946,0.03507518],"genre_scores_gemma":[0.1477704,0.0004525456,0.8013147,0.0004113104,0.0004480006,0.0004370161,0.003658071,0.01130622,0.0342016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03312159,"threshold_uncertainty_score":0.1108028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565902596566798,"score_gpt":0.2656998293147867,"score_spread":0.2500408033491187,"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."}}