{"id":"W2042843335","doi":"10.1145/2007052.2007069","title":"Application specific processor vs. microblaze soft core RISC processor","year":2011,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"MicroBlaze; Reduced instruction set computing; Field-programmable gate array; Computer science; Speedup; Embedded system; Multi-core processor; Coprocessor; Application-specific instruction-set processor; Processor design; Instruction set; Computer hardware; Parallel computing","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":[0.0002331932,0.0002933054,0.0002018319,0.0005060365,0.0001147738,0.0003658552,0.0003871615,0.0002482756,0.002836933],"category_scores_gemma":[0.001093569,0.0000989156,0.0001711058,0.0005712599,0.0001335865,0.0004647557,0.0001725977,0.0002557664,0.0006003925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002014969,"about_ca_system_score_gemma":0.0002216834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004139466,"about_ca_topic_score_gemma":0.0006680675,"domain_scores_codex":[0.9994603,0.0001010761,0.00003248816,0.00007127522,0.0002631515,0.00007168997],"domain_scores_gemma":[0.9994358,0.0002193272,0.00008093614,0.0000671971,0.0001703626,0.00002629823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003377014,0.0001878837,0.009557405,0.0008842981,0.0001148517,0.0005581711,0.0001424912,0.03294394,0.5818535,0.00896824,0.002144085,0.359268],"study_design_scores_gemma":[0.0001509352,0.01237128,0.05558362,0.00006738998,0.000325329,0.003974386,0.0003101047,0.1421797,0.7564031,0.002119904,0.02644115,0.00007315426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8783935,0.002595533,0.08877227,0.0001869309,0.0001084114,0.0001961326,0.0002102339,0.001163346,0.02837366],"genre_scores_gemma":[0.9589663,0.0008107779,0.03523618,0.0000695133,0.00002044085,0.00005963885,0.0002360255,0.00005671356,0.004544499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002836933,"threshold_uncertainty_score":0.00949049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04812043885219171,"score_gpt":0.250418129871525,"score_spread":0.2022976910193333,"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."}}