{"id":"W1982516565","doi":"10.1145/1862648.1862652","title":"MPI as a Programming Model for High-Performance Reconfigurable Computers","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Reconfigurable Technology and Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"High Performance Research Computing, Texas A and M University","keywords":"Computer science; Software portability; Computer architecture; Programming paradigm; Usability; x86; Supercomputer; Field-programmable gate array; Software; Parallel computing; Embedded system; Programming language; Operating 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005103191,0.0002678133,0.0003679826,0.0007222755,0.0006925036,0.0002270202,0.001118913,0.0004585179,0.000007195197],"category_scores_gemma":[0.00005238128,0.0002602565,0.00006138397,0.0006550099,0.0001393397,0.00053156,0.00001081308,0.0005996386,0.00002100313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002887643,"about_ca_system_score_gemma":0.00009506756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003920185,"about_ca_topic_score_gemma":0.000008557437,"domain_scores_codex":[0.9982517,0.00003359617,0.0004396031,0.0006592424,0.0001367726,0.0004790482],"domain_scores_gemma":[0.9982565,0.000194444,0.0001783422,0.001077486,0.0001907091,0.000102542],"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":[0.00005637839,0.0002425274,0.00008615958,0.0002119471,0.000136906,0.000005265935,0.0002958191,0.1019711,0.003477706,0.1819609,0.0005352153,0.7110201],"study_design_scores_gemma":[0.00057497,0.000389109,0.00001164795,0.0001062795,0.00001548186,0.0001813177,0.00003741616,0.9622009,0.02313014,0.009125479,0.003857163,0.0003701074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03943972,0.00009918107,0.9540217,0.00185286,0.0009355784,0.0008154553,0.0000072782,0.001892939,0.0009352751],"genre_scores_gemma":[0.8181999,0.0001041001,0.1796208,0.0001363734,0.00002152331,0.0004484752,0.000003846191,0.00002044826,0.001444437],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8602297,"threshold_uncertainty_score":0.999985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819585152449419,"score_gpt":0.2485739064517128,"score_spread":0.2303780549272186,"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."}}