{"id":"W2159844683","doi":"10.1145/2133352.2133358","title":"Portable and scalable FPGA-based acceleration of a direct linear system solver","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Reconfigurable Technology and Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Stratix; Field-programmable gate array; Scalability; Embedded system; Software; FPGA prototype; Parallel computing; Computer hardware; Operating system","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":[0.0005195037,0.0001594916,0.0003243854,0.0005511467,0.0002790147,0.00005639689,0.0003308552,0.0002644295,0.000006700865],"category_scores_gemma":[0.00002538169,0.0001470691,0.000037004,0.0005699214,0.00008669269,0.0003562079,0.000008850305,0.0001874776,0.000006405713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000320319,"about_ca_system_score_gemma":0.00004010713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008728007,"about_ca_topic_score_gemma":0.000002429062,"domain_scores_codex":[0.9988587,0.00007873564,0.0003637635,0.0002973263,0.0001194734,0.0002820088],"domain_scores_gemma":[0.9989094,0.0001260462,0.0001691068,0.0006097641,0.0001097597,0.00007592386],"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":[0.0003693681,0.003218101,0.02745306,0.005668725,0.001300282,0.00004439599,0.002339379,0.1988188,0.03492545,0.2784392,0.003277858,0.4441454],"study_design_scores_gemma":[0.001104511,0.0005378452,0.0003496755,0.0006383481,0.00006990967,0.0002395666,0.0004902672,0.7149149,0.2771506,0.0004321509,0.00343401,0.0006381438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02558073,0.001390912,0.9682059,0.0003029483,0.0003343845,0.0003424066,0.000007820376,0.0009650611,0.002869824],"genre_scores_gemma":[0.9741675,0.00007399784,0.02512493,0.00002760097,0.00001476539,0.0000729345,0.0000019895,0.00001049863,0.0005058008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9485868,"threshold_uncertainty_score":0.5997303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183636503508206,"score_gpt":0.2458732791999477,"score_spread":0.2240369141648656,"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."}}