{"id":"W3033124768","doi":"10.1145/3366708","title":"Demystifying Complex Workload-DRAM Interactions","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"VMware; Semiconductor Research Corporation; National Science Foundation","keywords":"Dram; Computer science; Workload; Dynamic random-access memory; Embedded system; Universal memory; Locality; Key (lock); Parallel computing; Memory management; Computer hardware; Operating system; Semiconductor memory; Interleaved memory","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":[0.0009335179,0.000921672,0.000521927,0.001112266,0.000541601,0.001293284,0.0008174852,0.0005762109,0.00239598],"category_scores_gemma":[0.004441581,0.0003988784,0.0004968439,0.0008101047,0.0006994175,0.002080962,0.001044281,0.001536894,0.0003963339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005987376,"about_ca_system_score_gemma":0.0007010217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002463732,"about_ca_topic_score_gemma":0.002897986,"domain_scores_codex":[0.9986086,0.0003037064,0.00007580295,0.000294626,0.000467633,0.0002496389],"domain_scores_gemma":[0.9964036,0.001993751,0.0004043751,0.0006022208,0.000453475,0.0001426378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001720882,0.001897658,0.1295664,0.001033479,0.0004033085,0.001730218,0.001879029,0.3295885,0.3628445,0.02319084,0.009123554,0.1370216],"study_design_scores_gemma":[0.0000448756,0.0007422125,0.05366025,0.00004861812,0.0001123648,0.0005057006,0.0007996615,0.8719315,0.05643164,0.01014751,0.005482341,0.00009335368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565513,0.0008299235,0.03532169,0.0003699205,0.00006915636,0.0001427696,0.0008965692,0.001138422,0.004680325],"genre_scores_gemma":[0.9880357,0.0002147229,0.01003329,0.0001125442,0.00003019903,0.00008723501,0.0006580889,0.0001450935,0.0006830927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002463732,"threshold_uncertainty_score":0.008015394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05631712929586027,"score_gpt":0.2804748909063884,"score_spread":0.2241577616105281,"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."}}