{"id":"W2536584158","doi":"10.1145/2989081.2989097","title":"Challenges of Programming a System with Heterogeneous Memories and Heterogeneous Processors","year":2016,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Advanced Micro Devices","keywords":"Exploit; Computer science; Symmetric multiprocessor system; Focus (optics); Heterogeneous network; Distributed computing; Parallel computing; Computer architecture; Operating system; Computer security","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":[0.002546293,0.0005600743,0.00102191,0.0003582084,0.001416985,0.002426965,0.002476828,0.001271946,0.002865565],"category_scores_gemma":[0.00525952,0.0007275539,0.0008369205,0.0008732707,0.002126751,0.004834764,0.002619832,0.002837071,0.000579303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008030644,"about_ca_system_score_gemma":0.001633007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413248,"about_ca_topic_score_gemma":0.002538387,"domain_scores_codex":[0.9982974,0.0008596939,0.00008854854,0.0001884605,0.0003939236,0.0001720113],"domain_scores_gemma":[0.9970289,0.002127352,0.0001745411,0.0003211574,0.0002029523,0.0001450715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001601804,0.0001462189,0.002259655,0.001255644,0.0001935295,0.0005454822,0.0008119792,0.3496215,0.007652828,0.4704715,0.01048422,0.1563973],"study_design_scores_gemma":[0.00009230993,0.0001566459,0.000991335,0.0001799709,0.0001027121,0.0004929024,0.0007187278,0.4737383,0.003937556,0.4809798,0.03854144,0.00006828046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07639373,0.007144347,0.8738629,0.01509268,0.0003928725,0.0001763669,0.0001043869,0.0005349958,0.02629779],"genre_scores_gemma":[0.3545725,0.009158249,0.6228738,0.001659215,0.001200472,0.0005890395,0.0001343952,0.0005809687,0.009231403],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002865565,"threshold_uncertainty_score":0.01346624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185853046459709,"score_gpt":0.2361505759610409,"score_spread":0.21756527131507,"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."}}