{"id":"W2046736907","doi":"10.1145/2464996.2465006","title":"Improving communication in PGAS environments","year":2013,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; IBM (Canada)","funders":"","keywords":"Partitioned global address space; Programmer; Computer science; Compiler; Parallel computing; Programming language; Code (set theory); Computer architecture; Programming paradigm","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":[0.001752342,0.001353637,0.0006949645,0.0009626522,0.00182355,0.002545111,0.002567038,0.001066719,0.008065631],"category_scores_gemma":[0.008382197,0.0005401037,0.0004691632,0.001693762,0.00141095,0.006961491,0.005540737,0.00158633,0.002559861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066695,"about_ca_system_score_gemma":0.002374403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002795036,"about_ca_topic_score_gemma":0.0033697,"domain_scores_codex":[0.9968494,0.0009656565,0.0001543488,0.0004415388,0.0008611307,0.0007279294],"domain_scores_gemma":[0.9944665,0.001839358,0.0004465649,0.002088755,0.0008431466,0.0003157651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002185399,0.0008934694,0.01070857,0.0008677933,0.0001408003,0.000948099,0.002715479,0.2983528,0.05522648,0.1547889,0.05104885,0.4221235],"study_design_scores_gemma":[0.0003831354,0.000936645,0.002626391,0.0001459566,0.0002233664,0.0005431222,0.001699117,0.6434222,0.08514465,0.1499946,0.1147604,0.0001204713],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3243368,0.002529251,0.5854664,0.003036867,0.0005687144,0.0002393077,0.0004727067,0.03068928,0.05266055],"genre_scores_gemma":[0.8063558,0.001014899,0.1774282,0.0006098408,0.0001730574,0.000265983,0.000772581,0.00156307,0.01181666],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008065631,"threshold_uncertainty_score":0.02698225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009931401341644878,"score_gpt":0.2217394340242119,"score_spread":0.211808032682567,"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."}}