{"id":"W2476272165","doi":"","title":"Performance oriented partial checkpoint and migration of lam/mpi applications","year":2011,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"SPMD; Computer science; Distributed computing; Parallel computing; Message passing; Set (abstract data type); Process (computing); Cluster (spacecraft); Supercomputer; Message Passing Interface; Computer network; 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":[0.0001423608,0.0000564734,0.00007966239,0.00003039649,0.00005187867,0.00001659241,0.000197406,0.00002544229,0.000008828394],"category_scores_gemma":[0.000003430278,0.00004723319,0.00001881582,0.0001821845,0.00002752046,0.0001468177,0.00006855511,0.00003106542,0.00001748779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004901627,"about_ca_system_score_gemma":0.00001860582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009072972,"about_ca_topic_score_gemma":0.000008985506,"domain_scores_codex":[0.9994543,0.00001761521,0.0001844091,0.0001564781,0.000088847,0.00009833145],"domain_scores_gemma":[0.9995652,0.00001196063,0.00007606446,0.0002413876,0.00006487478,0.00004055402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003768994,0.0005830979,0.1767953,0.000277776,0.00007685961,0.00000254828,0.0112895,0.000288771,0.005786226,0.7294105,0.002337905,0.07311384],"study_design_scores_gemma":[0.0006979422,0.0003470318,0.1282834,0.00005982036,0.00001489838,0.00003507207,0.0001267876,0.7790573,0.04042387,0.0009417749,0.0496183,0.0003938157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2746768,0.00001982187,0.7174209,0.00004606463,0.00005938025,0.0001144438,0.00000134585,0.00007347207,0.007587843],"genre_scores_gemma":[0.9856137,0.000006346453,0.01415049,0.00001976036,0.00002496276,0.00001777039,0.000004323503,0.000001870322,0.0001607833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7787685,"threshold_uncertainty_score":0.1926114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225172976142706,"score_gpt":0.2190283480708831,"score_spread":0.1965110504566125,"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."}}