{"id":"W3175004880","doi":"10.1145/3459010","title":"KernelFaRer","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Architecture and Code Optimization","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Computer science; Compiler; x86; Parallel computing; Source code; Kernel (algebra); Programming language; SIMD; Linear algebra; Code (set theory); Overhead (engineering); Block (permutation group theory); Software","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":[0.0009041758,0.001999081,0.0009662915,0.001268529,0.0007356142,0.002257087,0.003871665,0.001550346,0.09207086],"category_scores_gemma":[0.004270908,0.001259726,0.00140713,0.0009121781,0.0006399445,0.004514749,0.003575804,0.00285942,0.08613767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088287,"about_ca_system_score_gemma":0.001811213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002221034,"about_ca_topic_score_gemma":0.002784062,"domain_scores_codex":[0.998447,0.0001320798,0.000125735,0.0004003091,0.0006415861,0.0002534556],"domain_scores_gemma":[0.9984217,0.0002927441,0.0001388384,0.0005976565,0.0004309733,0.0001180187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001076706,0.0002580242,0.002504384,0.001189811,0.0001565987,0.0003841404,0.0003437167,0.007540692,0.01908009,0.04371266,0.4746092,0.449144],"study_design_scores_gemma":[0.0002450476,0.0002201653,0.001546563,0.0001842589,0.00008344627,0.0009198742,0.00008784438,0.06480827,0.05798774,0.03364249,0.8400874,0.000186985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.009305572,0.002123192,0.3274385,0.0008257818,0.0008052759,0.0003160988,0.006145987,0.5849534,0.06808626],"genre_scores_gemma":[0.1509391,0.002526081,0.4159026,0.002864388,0.0003829363,0.0008616966,0.04565442,0.1731998,0.207669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09207086,"threshold_uncertainty_score":0.3080077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197056625438376,"score_gpt":0.2402609426508753,"score_spread":0.2282903763964915,"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."}}