{"id":"W3200826900","doi":"10.1145/3469660","title":"Programming and Synthesis for Software-defined FPGA Acceleration: Status and Future Prospects","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Reconfigurable Technology and Systems","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Field-programmable gate array; Software; Computer architecture; Memory hierarchy; Compiler; Programming paradigm; Flexibility (engineering); Embedded system; Reconfigurable computing; Hardware acceleration; Software engineering; Parallel computing; Operating system; 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":[0.0003657344,0.0002386969,0.000417102,0.0003988837,0.0005262347,0.0003648815,0.0002909733,0.0004359393,0.000004761091],"category_scores_gemma":[0.0001172159,0.0002272223,0.00004272037,0.00058203,0.0001136738,0.0003904752,0.00001470104,0.0002713975,0.000001905421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004479816,"about_ca_system_score_gemma":0.00008997497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000199933,"about_ca_topic_score_gemma":0.00002538207,"domain_scores_codex":[0.9983161,0.00009289117,0.0003740164,0.000703207,0.0001236818,0.0003900817],"domain_scores_gemma":[0.9983783,0.000415421,0.00013166,0.0007736557,0.0002001888,0.0001007871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002610507,0.0001330427,0.0007177693,0.0006710274,0.0001646771,0.00002897813,0.0004730097,0.000007643025,0.003042809,0.06881232,0.0001402656,0.9257824],"study_design_scores_gemma":[0.005458836,0.003324604,0.001491758,0.002322749,0.0004408846,0.006952962,0.0092444,0.008913708,0.6709114,0.09988707,0.1873294,0.0037222],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0167227,0.007940239,0.9659058,0.004844781,0.0006296824,0.001794105,0.00002783642,0.00187604,0.0002588117],"genre_scores_gemma":[0.8859566,0.001099379,0.110382,0.00006065682,0.00006129313,0.001841803,0.000003073059,0.00002846256,0.0005667156],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9220601,"threshold_uncertainty_score":0.9265856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063966463218597,"score_gpt":0.248343657031963,"score_spread":0.227703992399777,"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."}}