{"id":"W4414898614","doi":"10.1109/cluster59342.2025.11186497","title":"Cascade: a Collaborative Algorithm for Scalable and Efficient Neighborhood Allgather","year":2025,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Alliance de recherche numérique du Canada","keywords":"Speedup; Scalability; Cascade; Multiplication (music); Sparse matrix; Feature (linguistics); Message passing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007743421,0.0008878359,0.001158955,0.0009471076,0.001858401,0.0009935086,0.003222503,0.001208235,0.005332881],"category_scores_gemma":[0.002791067,0.0005263185,0.000814455,0.0009665655,0.0007987611,0.002212488,0.002769974,0.0009581406,0.001362771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009869848,"about_ca_system_score_gemma":0.001775572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007515118,"about_ca_topic_score_gemma":0.01237493,"domain_scores_codex":[0.9992417,0.0001223166,0.00004084813,0.000167428,0.0003259234,0.0001017965],"domain_scores_gemma":[0.9990051,0.0002962758,0.000085648,0.0002982415,0.0002109157,0.0001037889],"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":[0.0005800542,0.0003232231,0.003037151,0.0002523001,0.0001617163,0.0003751038,0.0006762868,0.4255669,0.02117446,0.06022173,0.03571091,0.4519202],"study_design_scores_gemma":[0.00006321641,0.00007700751,0.0001512922,0.000006853871,0.00001601353,0.00006238739,0.00005475084,0.9788052,0.003871897,0.01094942,0.005923796,0.00001827215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02413526,0.0002558222,0.9652815,0.0002432266,0.0001222448,0.0002123899,0.0001107467,0.004643168,0.004995717],"genre_scores_gemma":[0.2622078,0.0001981156,0.726832,0.0001971538,0.00008620007,0.0006492277,0.0005960939,0.0005867069,0.008646662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007515118,"threshold_uncertainty_score":0.01784027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006544639729131289,"score_gpt":0.2474630409644017,"score_spread":0.2409184012352704,"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."}}