{"id":"W65827093","doi":"10.1007/978-3-642-55195-6_29","title":"OpenACC Parallelisation for Diffusion Problems, Applied to Temperature Distribution on a Honeycomb Around the Bee Brood: A Worked Example Using BiCGSTAB","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Solver; Computer science; Computational science; Workstation; Parallel computing; Biconjugate gradient stabilized method; Simple (philosophy); Programmer; Compiler; Convergence (economics); Iterative method; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001799257,0.0005881726,0.0005411772,0.0003412425,0.0009174198,0.001214578,0.002917395,0.0003407515,0.000006313874],"category_scores_gemma":[0.0001020021,0.0004157331,0.000140503,0.0007388901,0.0002836059,0.0002881062,0.0009638402,0.0006787484,0.00001830658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003526474,"about_ca_system_score_gemma":0.0002648102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003775449,"about_ca_topic_score_gemma":0.00004951012,"domain_scores_codex":[0.9962208,0.00008521315,0.0005366909,0.001598491,0.000857855,0.0007009974],"domain_scores_gemma":[0.997091,0.0009038615,0.0003440166,0.001270623,0.0002122388,0.000178277],"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":[0.0001032676,0.00009008116,0.000005758363,0.0001152631,0.00002196418,0.000006625576,0.001879892,0.2762719,0.004285857,0.2827718,0.0001522651,0.4342954],"study_design_scores_gemma":[0.0008707712,0.0004514242,0.00006029195,0.0007972792,0.0000227154,0.0000323551,0.000001342248,0.7285737,0.002077829,0.2531403,0.01290527,0.001066689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001506975,0.00007836767,0.993784,0.001051604,0.001037877,0.002213517,0.00002564384,0.0001269371,0.0001751258],"genre_scores_gemma":[0.6697897,0.00002089377,0.3222705,0.004758063,0.002202502,0.0002271667,0.0001351594,0.00009050326,0.0005055803],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6715135,"threshold_uncertainty_score":0.9998295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557352308922419,"score_gpt":0.2472357124196237,"score_spread":0.2216621893303995,"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."}}