{"id":"W3139493738","doi":"","title":"PGAS Communication for Heterogeneous Clusters with FPGAs","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Partitioned global address space; Field-programmable gate array; Computer architecture; Computer science; Parallel computing; Embedded system; 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":[0.0005263755,0.0006242903,0.0004103541,0.0007560033,0.001103796,0.001533072,0.001748074,0.000462498,0.01284283],"category_scores_gemma":[0.00113873,0.0003108653,0.0003766675,0.0009746082,0.0004680429,0.001658075,0.001731497,0.0007370109,0.00307771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110715,"about_ca_system_score_gemma":0.001006223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002287578,"about_ca_topic_score_gemma":0.003461319,"domain_scores_codex":[0.9994293,0.0001138614,0.00003530431,0.00009419835,0.0002068522,0.0001204749],"domain_scores_gemma":[0.9995517,0.00009624793,0.00003586271,0.0001625525,0.0001072998,0.0000461859],"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":[0.001176899,0.0002379723,0.002946773,0.0007514697,0.000123461,0.0009455748,0.001950851,0.1323227,0.05386389,0.1497524,0.05202082,0.6039073],"study_design_scores_gemma":[0.0003278904,0.0005383245,0.002547456,0.0001924064,0.0001162817,0.0008160498,0.0009301973,0.3937478,0.1284889,0.04543272,0.4267115,0.0001504333],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07069443,0.00118406,0.8272225,0.0004269168,0.0002250172,0.0002411397,0.0004861607,0.02090946,0.07861033],"genre_scores_gemma":[0.63463,0.0009981854,0.2956861,0.0003536658,0.0001082548,0.0004961868,0.001602757,0.002027933,0.06409696],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01284283,"threshold_uncertainty_score":0.04296356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04262423425830874,"score_gpt":0.3160669684556736,"score_spread":0.2734427341973648,"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."}}