{"id":"W2728809642","doi":"10.1145/3079856.3080251","title":"There and Back Again","year":2017,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Division of Electrical, Communications and Cyber Systems","keywords":"Computer science; Scalability; Memory management; Server; Cube (algebra); Interleaved memory; Memory architecture; Distributed memory; Uniform memory access; Registered memory; Flat memory model; Distributed computing; Memory map; Parallel computing; Computer architecture; Architecture; Network topology; Semiconductor memory; Computer hardware; Operating system; Shared 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":[0.001037618,0.0008905122,0.0006526448,0.001066123,0.005435484,0.009470318,0.00118683,0.003477256,0.2693518],"category_scores_gemma":[0.004382409,0.0003148234,0.0007349296,0.0009337549,0.002995956,0.007132523,0.004397519,0.008348275,0.1982059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002707786,"about_ca_system_score_gemma":0.00241931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007743459,"about_ca_topic_score_gemma":0.01307564,"domain_scores_codex":[0.9988437,0.0001615095,0.00004075732,0.0002476361,0.0004271108,0.0002792673],"domain_scores_gemma":[0.998138,0.0001354096,0.00007303744,0.0002428703,0.000866342,0.00054439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006867861,0.00004400825,0.000501337,0.000104198,0.00001269872,0.0001747409,0.00118339,0.00004700585,0.0006512933,0.06639045,0.861921,0.06890126],"study_design_scores_gemma":[0.000002601352,0.000006394168,0.0001372867,0.00004909216,0.000002060639,0.00005860072,0.0004453066,0.00001181895,0.00008053335,0.003327861,0.9958723,0.000006111596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004272569,0.0116907,0.005008684,0.2200541,0.06955387,0.00008015253,0.001380954,0.001533967,0.686425],"genre_scores_gemma":[0.0136737,0.0030662,0.00191967,0.0422557,0.003193673,0.00003533646,0.0005529488,0.0006490095,0.9346536],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2693518,"threshold_uncertainty_score":0.9010715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481717372323917,"score_gpt":0.2757072159399943,"score_spread":0.2508900422167551,"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."}}