{"id":"W2545052038","doi":"10.1109/icscs.2009.5414164","title":"Performance evaluation of hardware/software codesign of iterative methods of linear systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Software; Iterative method; Hardware acceleration; Block (permutation group theory); Jacobi method; Software implementation; Computer hardware; Conjugate gradient method; Gauss–Seidel method; Implementation; Embedded system; Parallel computing; Field-programmable gate array; Algorithm; Mathematics","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":[0.001863334,0.0009640987,0.0005231206,0.00113812,0.0004386421,0.0009113502,0.001292082,0.000707127,0.003360962],"category_scores_gemma":[0.0100094,0.0003599773,0.0004349807,0.0008240945,0.0004611827,0.0008855167,0.0006553418,0.0006856325,0.0008257295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006869,"about_ca_system_score_gemma":0.001126847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001740362,"about_ca_topic_score_gemma":0.001085335,"domain_scores_codex":[0.9968918,0.0007625337,0.0002143936,0.0003036388,0.001528878,0.0002987919],"domain_scores_gemma":[0.9903337,0.004667782,0.0006523299,0.00123438,0.002884425,0.0002273027],"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":[0.004246305,0.0006936952,0.009854143,0.0007519118,0.0002848663,0.0002446016,0.0004974362,0.2129748,0.1387451,0.005458813,0.003111744,0.6231367],"study_design_scores_gemma":[0.0001392403,0.001141157,0.003073879,0.00002559281,0.00007230459,0.0001923039,0.00006383024,0.8075475,0.1843882,0.0005681245,0.002743225,0.00004472115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6775925,0.0009746183,0.3017988,0.000192593,0.0001630586,0.0002466564,0.0001409473,0.01091504,0.007975861],"genre_scores_gemma":[0.9140945,0.0001105762,0.08309252,0.00004187979,0.0000234198,0.0001532222,0.0002140422,0.0005074003,0.001762384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003360962,"threshold_uncertainty_score":0.01124352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05285918200245926,"score_gpt":0.3534809593374214,"score_spread":0.3006217773349621,"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."}}