{"id":"W2898977042","doi":"","title":"Design and Analysis of Efficient Inter-core Communication in GPUs","year":2018,"lang":"en","type":"article","venue":"International Symposium on Microarchitecture","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Core (optical fiber); Parallel computing; Multi-core processor; Computer architecture; Telecommunications","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":[0.0003970283,0.0005051777,0.0004141588,0.0005292245,0.0004806375,0.0008575076,0.001418863,0.0003766794,0.001826868],"category_scores_gemma":[0.001075695,0.0003114901,0.0003249253,0.0006000727,0.0003105116,0.0005031964,0.0003704524,0.0004342508,0.0003467086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171586,"about_ca_system_score_gemma":0.002073747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004109564,"about_ca_topic_score_gemma":0.008508596,"domain_scores_codex":[0.9995345,0.0001094103,0.00001783596,0.00005088061,0.0001774283,0.0001099549],"domain_scores_gemma":[0.9993925,0.0001622214,0.0001013515,0.00008094267,0.0002210609,0.00004184507],"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":[0.0005481864,0.0002235692,0.005768026,0.0003573852,0.0001387556,0.0002123153,0.0001580902,0.7585334,0.1058022,0.0200051,0.004341137,0.1039118],"study_design_scores_gemma":[0.00002476077,0.0002299138,0.0008959917,0.000009310719,0.00003287331,0.00003762275,0.00002529311,0.9834922,0.01153144,0.001327253,0.002385233,0.000008071223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5242738,0.00302438,0.4478573,0.0006824039,0.0001704853,0.0001874849,0.0002158718,0.001838188,0.0217501],"genre_scores_gemma":[0.9404136,0.0003028387,0.05568047,0.00009078416,0.00002651096,0.0000710544,0.0001007626,0.0001157176,0.003198224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004109564,"threshold_uncertainty_score":0.008500516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423840029766085,"score_gpt":0.2758345008583439,"score_spread":0.2615961005606831,"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."}}