{"id":"W1995348478","doi":"10.1145/1117201.1117231","title":"Application-specific customization of soft processor microarchitecture","year":2006,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microarchitecture; Computer science; Pipeline (software); Benchmark (surveying); Field-programmable gate array; Processor design; Embedded system; Computer architecture; Software; Microprocessor; Instruction set; Personalization; Parallel computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005400026,0.000586596,0.0001864381,0.0005685629,0.0001600147,0.0005667396,0.0008695717,0.0002804817,0.002760194],"category_scores_gemma":[0.002947834,0.0003195041,0.0002709207,0.0003760097,0.0001885551,0.0007797386,0.000539493,0.0006505018,0.0007938766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002342046,"about_ca_system_score_gemma":0.0003988352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003500109,"about_ca_topic_score_gemma":0.0009863272,"domain_scores_codex":[0.9995717,0.00006892746,0.00005478543,0.0001044301,0.000115738,0.00008441401],"domain_scores_gemma":[0.9981407,0.00059753,0.0002245075,0.0007307404,0.000242425,0.00006407318],"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":[0.0004487858,0.0002890643,0.01984682,0.000540038,0.0001561748,0.0004229183,0.0002759351,0.08387498,0.6434225,0.004247872,0.004206304,0.2422685],"study_design_scores_gemma":[0.0001363189,0.001239059,0.04668811,0.0001025465,0.0002845248,0.001183635,0.0002685755,0.2931171,0.5996951,0.006241072,0.0509205,0.0001234543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8672871,0.0009578003,0.1051489,0.0003324212,0.0001627452,0.000273604,0.0004335118,0.006876427,0.01852756],"genre_scores_gemma":[0.9628409,0.000290106,0.03178505,0.000227137,0.00004042143,0.0001170798,0.0004667506,0.0008180595,0.003414513],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002760194,"threshold_uncertainty_score":0.009233773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005113668899747408,"score_gpt":0.2132090757372074,"score_spread":0.20809540683746,"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."}}