{"id":"W2759010960","doi":"10.1109/waccpd.2016.009","title":"OpenACC Cache Directive: Opportunities and Optimizations","year":2016,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Cache; CUDA; Parallel computing; Compiler; Cache algorithms; Smart Cache; Operating system; Cache pollution; Cache invalidation; Cache coloring; CPU cache","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":[0.001569468,0.001247318,0.0005881288,0.0008446219,0.0009260076,0.002282766,0.003767742,0.001127288,0.0064654],"category_scores_gemma":[0.00715202,0.0008526402,0.0008636733,0.001670173,0.0006263551,0.002542603,0.001384278,0.002036924,0.00378692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378013,"about_ca_system_score_gemma":0.002807494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00655799,"about_ca_topic_score_gemma":0.01191078,"domain_scores_codex":[0.9980931,0.0003838668,0.0001609212,0.0002220791,0.0007894801,0.0003506599],"domain_scores_gemma":[0.9955643,0.0008685432,0.0002517292,0.001494857,0.001635783,0.0001847309],"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":[0.003020398,0.0008331204,0.02045979,0.001091387,0.0002965091,0.001305111,0.001194899,0.1054107,0.07871462,0.0909681,0.2093002,0.4874051],"study_design_scores_gemma":[0.0004171219,0.0003418752,0.006517086,0.0003225547,0.0002143454,0.0007509089,0.0003576247,0.5218281,0.1055228,0.03870769,0.3247507,0.0002692741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1438999,0.002118893,0.6032334,0.002388086,0.00067183,0.0003036712,0.002527568,0.1664885,0.07836813],"genre_scores_gemma":[0.4521555,0.0008163734,0.4798135,0.001076542,0.0002452058,0.0006177686,0.005614465,0.03028822,0.02937242],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00655799,"threshold_uncertainty_score":0.02162892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04350681919923385,"score_gpt":0.2685195588531648,"score_spread":0.225012739653931,"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."}}