{"id":"W2082703745","doi":"10.1109/sips.2014.6986088","title":"FPGA implementation of a clockless stochastic LDPC decoder","year":2014,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stratix; Field-programmable gate array; Computer science; Low-density parity-check code; Decoding methods; Throughput; Parallel computing; Gate array; Adder; Combinational logic; Multiplication (music); Computer hardware; Arithmetic; Logic gate; Algorithm; Mathematics; Latency (audio)","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":[0.00008689557,0.000239395,0.0001696301,0.0002830585,0.0002211379,0.0003708719,0.0003772428,0.000218794,0.003070461],"category_scores_gemma":[0.0002619073,0.0001305765,0.00009643547,0.0001679636,0.0001077898,0.0001962728,0.000119466,0.0002064916,0.0007429885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00030592,"about_ca_system_score_gemma":0.0004620536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879533,"about_ca_topic_score_gemma":0.002766779,"domain_scores_codex":[0.9998727,0.00001861658,0.000007684101,0.00001955359,0.00005995314,0.00002151457],"domain_scores_gemma":[0.9998932,0.00002857342,0.00001302676,0.00001816723,0.00003745349,0.000009586059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006711954,0.0001889107,0.002957361,0.0003637479,0.0001011754,0.001185425,0.0001429686,0.1041587,0.5684595,0.02248838,0.01190695,0.2873757],"study_design_scores_gemma":[0.0001868178,0.0009602331,0.003233308,0.00006065041,0.00006908623,0.001761501,0.00003540012,0.5422233,0.4002369,0.001982924,0.04918296,0.00006691885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2593494,0.0005452448,0.6868332,0.0003814304,0.0003132589,0.0002366395,0.0006845646,0.01050156,0.04115469],"genre_scores_gemma":[0.7940426,0.0002091427,0.196202,0.0001830543,0.00003361322,0.00006021155,0.0003269812,0.00008672233,0.008855646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003070461,"threshold_uncertainty_score":0.01027173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330180803686488,"score_gpt":0.3054921862613593,"score_spread":0.2921903782244945,"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."}}