{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007523094,0.0001312813,0.0001157732,0.0001229868,0.0002627716,0.0001496624,0.0003123262,0.00007478453,0.00005134708],"category_scores_gemma":[0.00003147497,0.00012692,0.00005100139,0.0004264147,0.00002750117,0.0001537216,0.00002401146,0.0001749194,0.000005303197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001507825,"about_ca_system_score_gemma":0.00004599938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002533169,"about_ca_topic_score_gemma":0.00000788097,"domain_scores_codex":[0.9990888,0.00007808768,0.0001552246,0.0003708911,0.0001507887,0.0001562427],"domain_scores_gemma":[0.9991221,0.00008097473,0.00004273068,0.0005787276,0.000101457,0.00007399394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004965611,0.00004796873,0.000004797762,0.000004927526,0.00001227823,0.000005511957,0.0002190875,0.8886033,0.00005266038,0.001004687,0.00006813092,0.1099717],"study_design_scores_gemma":[0.0004698685,0.000108945,0.00005954594,0.00004041268,0.0000190201,0.0001380623,0.00002216247,0.9760673,0.01219407,0.006168448,0.0043739,0.0003382895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001427045,0.0001210455,0.993272,0.004332442,0.0001069986,0.00007999473,0.000005813268,0.0004547034,0.001484268],"genre_scores_gemma":[0.1022571,0.0002758332,0.8955308,0.001217575,0.00002044197,0.00001583246,0.00001223691,0.00001283697,0.0006574048],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1096335,"threshold_uncertainty_score":0.5175649,"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."}}