{"id":"W2017264709","doi":"10.1007/s11265-006-0001-1","title":"Buffer and Register Allocation for Memory Space Optimization","year":2007,"lang":"en","type":"article","venue":"The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Polytechnique Montréal","funders":"","keywords":"Register allocation; Computer science; Translation lookaside buffer; Cache; Write buffer; Processor register; Parallel computing; CPU cache; Unix; Memory hierarchy; Operating system; Cache algorithms; Memory address; Physical address; Semiconductor memory","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":[0.0005553082,0.0007758939,0.0007370632,0.001026958,0.0005557913,0.001219764,0.001842439,0.0005533997,0.00964036],"category_scores_gemma":[0.002986304,0.0003698471,0.0003747615,0.001385116,0.0003222555,0.001812073,0.0006882758,0.0006463376,0.0008167773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008361883,"about_ca_system_score_gemma":0.001944689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002941869,"about_ca_topic_score_gemma":0.006422221,"domain_scores_codex":[0.9995845,0.0001266454,0.00002389296,0.00006691132,0.0001001006,0.00009787596],"domain_scores_gemma":[0.9993916,0.0003028002,0.00004644172,0.0001182953,0.0001136239,0.00002719278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001123612,0.0002610108,0.0007292532,0.0002036153,0.00009456502,0.0001184908,0.0001136096,0.4404928,0.04452123,0.08058123,0.01375111,0.4180095],"study_design_scores_gemma":[0.00005686731,0.00009766356,0.000121993,0.00001115378,0.00004061733,0.00003192496,0.00001596798,0.9721985,0.01233397,0.01239475,0.002681612,0.00001509126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04831281,0.001729308,0.9367027,0.0004022352,0.0001814528,0.00009200921,0.0001947447,0.00334785,0.009036937],"genre_scores_gemma":[0.6126888,0.0005022559,0.3743223,0.0002375761,0.0001104251,0.0001785053,0.0002369263,0.000570302,0.0111528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00964036,"threshold_uncertainty_score":0.03225023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154958766341676,"score_gpt":0.2778505323013062,"score_spread":0.2623546556671386,"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."}}