{"id":"W4362670010","doi":"10.54097/hset.v41i.6739","title":"Performance Analysis of Parallel Computing in Image Classification","year":2023,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; CUDA; Cloud computing; Graphics; Acceleration; General-purpose computing on graphics processing units; Parallelism (grammar); Parallel computing; Deep learning; Data parallelism; Artificial neural network; Scheme (mathematics); Point (geometry); Speedup; Artificial intelligence; Computer architecture; Computer engineering; Computer graphics (images); 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":[0.001656821,0.0007117111,0.0006180109,0.001188811,0.0005528374,0.001122842,0.0008126809,0.0004776198,0.002401734],"category_scores_gemma":[0.007770088,0.0002394142,0.000472437,0.002343501,0.0003821855,0.001387753,0.0005986451,0.0006170154,0.0007720271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377175,"about_ca_system_score_gemma":0.001258087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008885222,"about_ca_topic_score_gemma":0.004197271,"domain_scores_codex":[0.9984658,0.0002668124,0.00009524845,0.0002863459,0.0006377939,0.0002481797],"domain_scores_gemma":[0.9965069,0.001423627,0.0002027089,0.0005915568,0.001132935,0.0001423729],"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":[0.002769131,0.0005682235,0.02045634,0.0003850163,0.0002095296,0.0002848754,0.0001612146,0.4428082,0.02478914,0.0135057,0.01440708,0.4796555],"study_design_scores_gemma":[0.0000209887,0.0001533486,0.003650289,0.000009174969,0.00002238463,0.00006180758,0.00004185226,0.9806713,0.01079349,0.002855786,0.001707891,0.00001156377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6983444,0.00535789,0.253272,0.001805712,0.0006679319,0.0002915754,0.001024661,0.006611091,0.03262474],"genre_scores_gemma":[0.9426416,0.0008533107,0.05253653,0.00008379709,0.00009190487,0.00009573361,0.0009036546,0.0002313396,0.002562081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008885222,"threshold_uncertainty_score":0.01766706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184133743164249,"score_gpt":0.2593156208533722,"score_spread":0.2374742834217297,"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."}}