{"id":"W2989165654","doi":"10.1109/pact.2019.00014","title":"Deepframe: A Profile-Driven Compiler for Spatial Hardware Accelerators","year":2019,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Compiler; Computer science; Optimizing compiler; Parallel computing; Computer architecture; Computer hardware; Programming language; Embedded 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006069535,0.001155278,0.0003698242,0.0006718315,0.0002849792,0.0006512869,0.001906541,0.0005852648,0.005267259],"category_scores_gemma":[0.002623871,0.0007395455,0.0006697231,0.0004561522,0.0006128842,0.002381053,0.001068581,0.001692298,0.002020562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008409988,"about_ca_system_score_gemma":0.00169036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002184437,"about_ca_topic_score_gemma":0.005668011,"domain_scores_codex":[0.9995655,0.00006856462,0.00003417385,0.0001128238,0.0001658739,0.00005298874],"domain_scores_gemma":[0.9990838,0.0003908552,0.00009973595,0.0001759904,0.0001988227,0.00005089707],"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":[0.0007887749,0.0003866131,0.009908454,0.0005606833,0.0001255591,0.0003997031,0.0004794091,0.2334233,0.04094003,0.02308794,0.05844637,0.6314532],"study_design_scores_gemma":[0.00004243515,0.0001151699,0.0004420115,0.00002520989,0.00001658637,0.00006212196,0.00003950701,0.9580327,0.01721033,0.01280605,0.01119019,0.00001770783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04229114,0.0005121267,0.8681108,0.0003984831,0.0001563358,0.0001837485,0.001522841,0.08272701,0.00409756],"genre_scores_gemma":[0.2758168,0.0002896662,0.706161,0.0004468653,0.00005923706,0.0003316707,0.003710916,0.007977907,0.005205978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005267259,"threshold_uncertainty_score":0.01762074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784646653930063,"score_gpt":0.2648050497184603,"score_spread":0.2469585831791596,"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."}}