{"id":"W2753694865","doi":"10.1109/mdat.2017.2748393","title":"Designing for FPGAs in the Cloud","year":2017,"lang":"en","type":"article","venue":"IEEE Design and Test","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Field-programmable gate array; Cloud computing; Computer science; Virtual machine; Flow (mathematics); Computer architecture; Embedded system; Distributed 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":[0.000415279,0.0004626084,0.0002808631,0.0003401731,0.000874536,0.001139872,0.0008969615,0.0003622316,0.006557701],"category_scores_gemma":[0.0007979354,0.0002808149,0.0003600283,0.0003111778,0.0003642708,0.001516564,0.0006872365,0.0005627989,0.001126408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006994975,"about_ca_system_score_gemma":0.001063025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002718083,"about_ca_topic_score_gemma":0.004566413,"domain_scores_codex":[0.9996056,0.00008413973,0.00001930026,0.00006757724,0.00009225313,0.0001311538],"domain_scores_gemma":[0.9997234,0.00006512995,0.00002658037,0.00008299386,0.00006680462,0.00003499502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007689623,0.0002381254,0.005028844,0.0004761729,0.0001315184,0.001404363,0.0005970957,0.1927185,0.07543764,0.31202,0.0168914,0.3942874],"study_design_scores_gemma":[0.0002532243,0.0005376138,0.001866988,0.0001818664,0.0001230544,0.001243446,0.0004517367,0.6694175,0.08593902,0.08676364,0.1531455,0.00007640197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05641935,0.0006983091,0.917173,0.0007074788,0.0002117712,0.0002683204,0.00008894767,0.001215619,0.02321716],"genre_scores_gemma":[0.563803,0.0006048809,0.4238533,0.0003019557,0.00006242788,0.0001256989,0.0001140009,0.000168298,0.01096657],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006557701,"threshold_uncertainty_score":0.02193773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05926711564832351,"score_gpt":0.2773233507080989,"score_spread":0.2180562350597754,"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."}}