{"id":"W1990697421","doi":"10.1109/fpt.2014.7082760","title":"Approaching overhead-free execution on FPGA soft-processors","year":2014,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stratix; Computer science; Field-programmable gate array; Parallel computing; Overhead (engineering); Soft error; Register file; Microarchitecture; Computation; Reduction (mathematics); Embedded system; Control flow; Interleaving; Clock rate; Computer hardware; Instruction set; Chip; Engineering; 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":[0.0003246141,0.0005283346,0.0001957816,0.0003512025,0.0002360093,0.0006412361,0.0006130282,0.0002332484,0.004580512],"category_scores_gemma":[0.00110802,0.000205089,0.0001432174,0.0002655676,0.0003201188,0.0006548635,0.0003998959,0.0005135488,0.0008807027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004698522,"about_ca_system_score_gemma":0.0005763851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141818,"about_ca_topic_score_gemma":0.003517587,"domain_scores_codex":[0.9996089,0.00006709277,0.00002060859,0.00004133765,0.0001686615,0.0000934132],"domain_scores_gemma":[0.9994148,0.0002259151,0.00007269724,0.0001075328,0.0001307267,0.00004833563],"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":[0.001886918,0.000316805,0.008180886,0.0006193963,0.00006810328,0.0007160274,0.0003089991,0.2263158,0.313077,0.02426658,0.008100783,0.4161428],"study_design_scores_gemma":[0.0001772065,0.001098063,0.00399638,0.00007371423,0.00005748167,0.0002620452,0.0001659333,0.6999861,0.2725063,0.006185313,0.01545218,0.00003933177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6683941,0.0005723653,0.29945,0.0002438478,0.0001216041,0.0001070671,0.0001382663,0.005231421,0.02574134],"genre_scores_gemma":[0.8827462,0.0002206001,0.1099771,0.00009038055,0.00001816637,0.00005276096,0.0001394327,0.0002096576,0.006545707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004580512,"threshold_uncertainty_score":0.01532328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671198633236051,"score_gpt":0.2426850305493527,"score_spread":0.2259730442169922,"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."}}