{"id":"W2027534015","doi":"10.1016/j.scico.2011.06.004","title":"Parallel execution of Java loops on Graphics Processing Units","year":2011,"lang":"en","type":"article","venue":"Science of Computer Programming","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Just-in-time compilation; Speedup; Parallel computing; Control flow; Java bytecode; Java; Compiler; Graphics; Bytecode; Optimizing compiler; Programming language; CUDA; General-purpose computing on graphics processing units; Operating system; Real time Java; Java annotation","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":[0.0009886699,0.0007469663,0.0006652,0.0005494417,0.0007809254,0.001194589,0.001780365,0.0005541888,0.00455014],"category_scores_gemma":[0.00288525,0.0004891045,0.0006689334,0.000757026,0.0007593195,0.001104468,0.001121933,0.0009178279,0.0007574334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008322492,"about_ca_system_score_gemma":0.001222332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004936535,"about_ca_topic_score_gemma":0.005710613,"domain_scores_codex":[0.9990582,0.0002186681,0.00005697001,0.0001570576,0.0003014694,0.0002077459],"domain_scores_gemma":[0.9985408,0.0005450118,0.00008613722,0.0003721527,0.0003473446,0.000108529],"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":[0.007194612,0.001013266,0.01256305,0.0005441541,0.0003308968,0.001031677,0.001597973,0.235856,0.1740838,0.05195353,0.02191339,0.4919177],"study_design_scores_gemma":[0.0005115052,0.0003671219,0.001927031,0.00002568929,0.00009880788,0.0001042787,0.000125409,0.8780868,0.08857227,0.02039354,0.009742539,0.00004495636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4040735,0.0003553173,0.5476199,0.0003145029,0.0002831527,0.0002135476,0.0002443661,0.02598584,0.02090986],"genre_scores_gemma":[0.7704817,0.0001249981,0.2204088,0.0001457542,0.00003604025,0.0001536793,0.0005280928,0.00230048,0.00582045],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004936535,"threshold_uncertainty_score":0.01522171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04446778688000051,"score_gpt":0.2719287597999689,"score_spread":0.2274609729199684,"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."}}