{"id":"W2156742168","doi":"10.1145/1133255.1133995","title":"Shared memory programming for large scale machines","year":2006,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Defense Advanced Research Projects Agency","keywords":"Computer science; Compiler; Parallel computing; Scalability; Runtime system; Distributed memory; Partitioned global address space; Optimizing compiler; Programming paradigm; Shared memory; Asynchronous communication; Programming language; Operating system","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":[0.001479497,0.0006282188,0.0004672621,0.0004258422,0.0009226754,0.001776343,0.001871495,0.0005167454,0.005719878],"category_scores_gemma":[0.004350062,0.0004723631,0.0006287399,0.0009141955,0.00116285,0.002168822,0.002288304,0.001418343,0.001631588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008702982,"about_ca_system_score_gemma":0.00177152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015334,"about_ca_topic_score_gemma":0.001699208,"domain_scores_codex":[0.9984585,0.0005226344,0.0001049323,0.0001730705,0.0006105744,0.0001302553],"domain_scores_gemma":[0.9980264,0.0006930659,0.0001391836,0.0008115207,0.0002323548,0.0000973803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000170872,0.00008767981,0.001700086,0.0005493206,0.0001238499,0.0004409546,0.0007131895,0.08467967,0.01278391,0.6301865,0.03505118,0.2335128],"study_design_scores_gemma":[0.0001626057,0.0001280913,0.0007181365,0.0001189601,0.00006211555,0.0003506387,0.0001462135,0.3523862,0.01476658,0.3967181,0.2343958,0.00004650847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008209796,0.0007316997,0.9713585,0.0005981201,0.0001730463,0.0001456986,0.00009951921,0.006491926,0.01219184],"genre_scores_gemma":[0.1504133,0.0007057722,0.8345191,0.0002994496,0.0002385158,0.0007363779,0.000471276,0.001590856,0.01102529],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005719878,"threshold_uncertainty_score":0.01913488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619749730491173,"score_gpt":0.2706697248421612,"score_spread":0.2544722275372495,"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."}}