{"id":"W2076069927","doi":"10.1109/fpl.2013.6645496","title":"The power of communication: Energy-efficient NOCS for FPGAS","year":2013,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Field-programmable gate array; Computer science; Embedded system; Power (physics); Efficient energy use; Energy (signal processing); Computer architecture; Electrical engineering; Engineering","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":[0.0002032709,0.0003509341,0.0001623474,0.0002932202,0.0002617899,0.0006321266,0.0004612254,0.0002161183,0.003580503],"category_scores_gemma":[0.0009862249,0.0001611003,0.0001133701,0.0002971726,0.0002775569,0.001081548,0.0003583822,0.0003375257,0.0004424713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000289626,"about_ca_system_score_gemma":0.0001705454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003629743,"about_ca_topic_score_gemma":0.001115422,"domain_scores_codex":[0.9998479,0.00003736963,0.000009417046,0.00001824118,0.00005564958,0.00003136149],"domain_scores_gemma":[0.9997351,0.0001227736,0.00003148327,0.00004309905,0.00005159167,0.00001604835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005756607,0.0001306858,0.004898796,0.0006859588,0.00009180819,0.0005536128,0.0001583238,0.2263416,0.189136,0.121969,0.01210556,0.443353],"study_design_scores_gemma":[0.000135598,0.000649307,0.006003425,0.0002056147,0.0001304551,0.0007342814,0.0002135351,0.6664807,0.1346018,0.09992711,0.09084897,0.00006922527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.393148,0.01000866,0.5215887,0.003853265,0.0006173434,0.00007219475,0.00020739,0.001596365,0.06890817],"genre_scores_gemma":[0.917097,0.001562058,0.0693564,0.0003384989,0.00009793263,0.00004033785,0.0001267213,0.0001064753,0.01127466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003580503,"threshold_uncertainty_score":0.01197803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269935164465984,"score_gpt":0.2250336396728333,"score_spread":0.2123342880281734,"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."}}