{"id":"W2047172496","doi":"10.5555/2492708.2492874","title":"An instruction scratchpad memory allocation for the precision timed architecture","year":2012,"lang":"en","type":"article","venue":"Design, Automation, and Test in Europe","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Register allocation; Architecture; Parallel computing; Control flow graph; Control flow; Scheme (mathematics); Distributed computing; Computer architecture; Operating system; Theoretical computer science; Programming language; Compiler","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":[0.0004003259,0.0003536658,0.0002882358,0.0005734185,0.0004667079,0.0007545412,0.001266479,0.0002794248,0.002638732],"category_scores_gemma":[0.001134098,0.0002248301,0.0003328025,0.0005415611,0.0004670477,0.001061397,0.0007908376,0.0006670859,0.0003473325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007865225,"about_ca_system_score_gemma":0.001026517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291752,"about_ca_topic_score_gemma":0.002472962,"domain_scores_codex":[0.9994826,0.00009035748,0.00004631984,0.0001031478,0.0001909139,0.00008662529],"domain_scores_gemma":[0.9994572,0.0001142385,0.00007997371,0.0002179227,0.0001001566,0.00003045928],"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":[0.00126402,0.0002882405,0.004328556,0.0004345583,0.0000866103,0.000393201,0.0003129847,0.1137081,0.1938773,0.1403069,0.009315389,0.5356842],"study_design_scores_gemma":[0.0002298484,0.001108738,0.002243687,0.00008497637,0.000147648,0.0004115647,0.0001073559,0.6806441,0.2294004,0.03895641,0.04656473,0.0001005875],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1905476,0.0007034991,0.7876651,0.0002143373,0.0001609086,0.0001868729,0.000171076,0.007989225,0.01236132],"genre_scores_gemma":[0.7315754,0.000167585,0.2624074,0.0001298032,0.00003365652,0.0001599595,0.0002018966,0.0003940437,0.004930355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002638732,"threshold_uncertainty_score":0.008827448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954755552634155,"score_gpt":0.2604474411216953,"score_spread":0.2408998855953538,"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."}}