{"id":"W2091212189","doi":"10.1109/sc.companion.2012.289","title":"Poster: Evaluating Error Resiliency of GPGPU Applications","year":2012,"lang":"en","type":"article","venue":"","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"General-purpose computing on graphics processing units; Computer science; Workload; Fault injection; Parallel computing; Fault tolerance; Resilience (materials science); Embedded system; Operating system; Graphics; Software","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002329972,0.00005938774,0.00007110922,0.00004786633,0.00002294744,0.000003603445,0.00008594606,0.00003532986,0.000119134],"category_scores_gemma":[0.000030079,0.00005883052,0.00002418261,0.0001542307,0.00001143808,0.0001197977,0.00000923172,0.00006531218,0.00008126187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005377047,"about_ca_system_score_gemma":0.00001149621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003209278,"about_ca_topic_score_gemma":0.000002363557,"domain_scores_codex":[0.9994655,0.00001742976,0.0001512225,0.00005316722,0.0001148611,0.0001977888],"domain_scores_gemma":[0.9996284,0.00008063673,0.00002352494,0.0002000433,0.00002616156,0.00004118927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008641318,0.0002008051,0.01206974,0.0004185755,0.0001305601,1.261201e-7,0.001925499,0.5644749,0.1562101,0.05562974,0.004914317,0.204017],"study_design_scores_gemma":[0.0007298854,0.000207016,0.04255154,0.00003095961,0.00009407239,0.00001604755,0.0001716163,0.7754466,0.1566604,0.001410797,0.02201431,0.0006667792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7823087,0.002756756,0.0555796,0.00006182717,0.0002988373,0.0006973632,0.00000544836,0.0005424505,0.157749],"genre_scores_gemma":[0.9959022,0.000006522089,0.003715705,0.00001691271,0.00007526647,0.00006172424,0.000003556519,0.00001670314,0.0002014065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2135935,"threshold_uncertainty_score":0.2399039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548833598419169,"score_gpt":0.3002513668416745,"score_spread":0.2847630308574828,"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."}}