{"id":"W2073600756","doi":"10.1145/2423636.2423642","title":"Thermal-aware task scheduling in 3D chip multiprocessor with real-time constrained workloads","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Embedded Computing Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Multiprocessing; Scheduling (production processes); Parallel computing; Computation; Chip; Dynamic priority scheduling; Fair-share scheduling; Distributed computing; Architecture; Multiprocessor scheduling; Embedded system; Two-level scheduling; Real-time computing; Algorithm; Computer network; Quality of service","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006216327,0.0004165533,0.0005061471,0.0004594563,0.0003986297,0.0005158038,0.001441286,0.0001963274,0.00001559766],"category_scores_gemma":[0.00005415587,0.0003705095,0.00009363216,0.001166971,0.00009684781,0.0005715526,0.00004238071,0.0004820621,0.0001281995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401615,"about_ca_system_score_gemma":0.0001469292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000409217,"about_ca_topic_score_gemma":0.000004090633,"domain_scores_codex":[0.9969959,0.0003261341,0.0007287847,0.0008361381,0.0004653127,0.0006477693],"domain_scores_gemma":[0.9973556,0.0006210419,0.0003066618,0.001188679,0.0003557381,0.0001722119],"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":[0.00001648007,0.0001666696,0.00007295457,0.00004287855,0.0000488516,0.00001696088,0.001501205,0.9766902,0.0006072977,0.0001494296,0.00002936498,0.02065771],"study_design_scores_gemma":[0.000944128,0.0001755649,0.0001615586,0.0006821894,0.00001117243,0.00005666365,0.0003636073,0.9965405,0.0005257123,0.00004712224,0.00002318865,0.0004685491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05406922,0.00006216024,0.9411585,0.0003617304,0.0002482455,0.0008104433,0.000002709987,0.001722663,0.001564326],"genre_scores_gemma":[0.6886196,0.00001116288,0.3109607,0.000131067,0.0000519542,0.0000685024,0.000003796303,0.00003205706,0.0001210809],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6345504,"threshold_uncertainty_score":0.9998747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219602355206222,"score_gpt":0.2411095779338136,"score_spread":0.2289135543817514,"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."}}