{"id":"W2143045374","doi":"10.1109/ccece.2011.6030678","title":"Controller design for matrix multiplication on FPGAs","year":2011,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Field-programmable gate array; Computer science; Matrix multiplication; Computer architecture; Scheduling (production processes); Multiplication (music); Parallel computing; Embedded system; Floating point; Implementation; Parallelizable manifold; Control logic; Computer hardware; Engineering; Operating system; Algorithm; Programming language","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":[0.0002526127,0.00007004022,0.00007953309,0.00006452926,0.00007671668,0.00003718667,0.0003828704,0.00003887673,0.000008607024],"category_scores_gemma":[0.00004001131,0.00005689088,0.00003925409,0.00009261405,0.00000921424,0.0001059669,0.00003331173,0.00002946849,0.00004455099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001302729,"about_ca_system_score_gemma":0.00001392945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000709392,"about_ca_topic_score_gemma":1.716257e-7,"domain_scores_codex":[0.9994383,0.00003429556,0.0001260304,0.0002087318,0.00006951059,0.0001230784],"domain_scores_gemma":[0.9994518,0.0001217899,0.0000546172,0.0002503148,0.00008585216,0.00003568375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001176132,0.0002535699,0.00005757894,0.000007350937,0.00002390082,7.42222e-7,0.0007468804,0.01944031,0.0006144376,0.8948497,0.03488668,0.04900125],"study_design_scores_gemma":[0.0004194311,0.000181233,0.0001323725,0.000004032548,0.000001722956,9.829278e-7,0.000001908261,0.964076,0.01900421,0.01478267,0.001299247,0.00009618614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005302027,0.00001138858,0.991722,0.0001891328,0.00005090058,0.0004036114,2.871058e-7,0.00068342,0.006886244],"genre_scores_gemma":[0.2490741,0.000002962928,0.7495439,0.0003208095,0.00001542915,0.00006604087,5.466566e-7,0.000004252592,0.0009719263],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9446357,"threshold_uncertainty_score":0.2319943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07026307787141937,"score_gpt":0.2960475449911548,"score_spread":0.2257844671197354,"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."}}