{"id":"W2099807018","doi":"10.1109/icecs.2009.5410901","title":"Two level decomposition based matrix multiplication for FPGAs","year":2009,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Field-programmable gate array; Multiplier (economics); Computer science; Matrix multiplication; Parallel computing; Multiplication (music); Matrix (chemical analysis); Block (permutation group theory); Arithmetic; Computer hardware; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001000019,0.0001182615,0.00009824069,0.00009397602,0.00005200948,0.00002990927,0.00009882272,0.00005173121,0.00004848426],"category_scores_gemma":[0.000006200474,0.0001159001,0.00004804701,0.0001184944,0.00000587494,0.0002006424,0.000002832001,0.00005151315,0.0001194745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008420472,"about_ca_system_score_gemma":0.00000995261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004986325,"about_ca_topic_score_gemma":0.000005293929,"domain_scores_codex":[0.9994057,0.000005989378,0.0001680977,0.0001327713,0.00008942412,0.0001980359],"domain_scores_gemma":[0.9996442,0.00004378106,0.00001808634,0.0001988237,0.00004530809,0.00004976355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006462937,0.0001177293,0.0002578265,0.000105166,0.00002741293,0.000001281672,0.0001211455,0.3960003,0.5298584,0.005155779,0.01265478,0.05563552],"study_design_scores_gemma":[0.0009764357,0.00005156649,0.003682595,0.00001308809,0.00001075434,0.000001580343,0.000004157475,0.7936897,0.1996969,0.0002618907,0.001440423,0.0001708456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08610841,0.00004289679,0.909746,0.0002640248,0.0001520067,0.0004468863,0.00001228557,0.0006639804,0.002563509],"genre_scores_gemma":[0.8430432,0.000003700563,0.1564221,0.0001510223,0.0000827386,0.00005076513,0.00005269471,0.00001964981,0.0001741348],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7569348,"threshold_uncertainty_score":0.4726268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972535826739306,"score_gpt":0.2922298479641938,"score_spread":0.2725044896968007,"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."}}