{"id":"W2110192022","doi":"10.1109/ccece.2005.1557051","title":"A parameterizable SIMD stream processor","year":2006,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Parallel computing; SIMD; Stream processing; Computer hardware; Embedded 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":[0.0002375016,0.0004508757,0.0003189347,0.0003560744,0.0002190305,0.0005754552,0.0009346117,0.0003154456,0.008865433],"category_scores_gemma":[0.0005087577,0.0001763993,0.0001902389,0.0005716308,0.0002773421,0.0005076654,0.0002614434,0.0004359769,0.001762452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004149998,"about_ca_system_score_gemma":0.0005166878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008241188,"about_ca_topic_score_gemma":0.0007511979,"domain_scores_codex":[0.9997702,0.00003993335,0.00001503465,0.00005258399,0.00009576004,0.00002651665],"domain_scores_gemma":[0.9997556,0.00004973733,0.00003100286,0.00005818977,0.00008463018,0.00002096335],"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":[0.001579458,0.0004189372,0.005814537,0.0006575307,0.0001336978,0.001071671,0.0002687808,0.2999479,0.2437954,0.03844189,0.04421573,0.3636545],"study_design_scores_gemma":[0.0001618911,0.0004076303,0.0007962108,0.00001881894,0.00004016949,0.0003708279,0.0000314975,0.8053802,0.1277072,0.002393251,0.062658,0.0000342767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1007547,0.000365924,0.839933,0.0001991036,0.000113641,0.000398284,0.001283358,0.02230391,0.03464812],"genre_scores_gemma":[0.7070783,0.0002801982,0.2742685,0.0002191652,0.00004571209,0.0003294443,0.002068417,0.0006844256,0.01502576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008865433,"threshold_uncertainty_score":0.0296579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009844911956501048,"score_gpt":0.233663078751485,"score_spread":0.223818166794984,"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."}}