{"id":"W4210859512","doi":"10.1145/3517131","title":"Demystifying the Soft and Hardened Memory Systems of Modern FPGAs for Software Programmers through Microbenchmarking","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Reconfigurable Technology and Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Field-programmable gate array; Embedded system; Software; Reconfigurable computing; Operating system; Computer architecture","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":[0.0002526857,0.0004473176,0.0001427203,0.0004224404,0.0001820181,0.0003390953,0.0006300768,0.000183956,0.00149231],"category_scores_gemma":[0.0008624179,0.0001639517,0.0001521123,0.0002376548,0.0003468475,0.0007433557,0.0003172413,0.0004786144,0.0001923243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004273562,"about_ca_system_score_gemma":0.0005280219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00144296,"about_ca_topic_score_gemma":0.002462729,"domain_scores_codex":[0.9997583,0.00002692943,0.00001622337,0.00003513999,0.00009853064,0.00006487162],"domain_scores_gemma":[0.9994789,0.0001689198,0.0001023825,0.0001300599,0.00008872117,0.00003110595],"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":[0.0005252137,0.0002665792,0.0104371,0.0005694705,0.00006325727,0.0006247253,0.000507073,0.1465239,0.5905541,0.01072459,0.003477816,0.2357263],"study_design_scores_gemma":[0.00006191943,0.001470894,0.007522423,0.00006430055,0.00005914488,0.0002539358,0.0002093659,0.2999304,0.6751918,0.002431335,0.01275368,0.00005082029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264842,0.0005654797,0.06510614,0.0001277134,0.00007727477,0.00006472454,0.000103818,0.002873848,0.004596877],"genre_scores_gemma":[0.9644652,0.0001563643,0.03347742,0.00008549365,0.000009335705,0.00004233441,0.00007777318,0.0001518191,0.001534331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00149231,"threshold_uncertainty_score":0.004992306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780120752769812,"score_gpt":0.2532850064849795,"score_spread":0.2254837989572814,"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."}}