{"id":"W1973806083","doi":"10.1145/2567938","title":"HARP","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Embedded Computing Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Pipeline (software); HARP; SIMD; Speedup; Overhead (engineering); Parallel computing; Pipeline transport; Embedded system; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007472408,0.0002475133,0.0003015209,0.000276198,0.0004871245,0.0003784875,0.001716739,0.0001218082,0.000005404738],"category_scores_gemma":[0.00007154154,0.0002435183,0.0001294689,0.0005936123,0.00003582419,0.0002246666,0.00003864669,0.0002965216,0.000148126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006912019,"about_ca_system_score_gemma":0.00003838248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003678413,"about_ca_topic_score_gemma":7.972088e-7,"domain_scores_codex":[0.9978535,0.0003070161,0.0004600832,0.0005988371,0.0003763078,0.0004042276],"domain_scores_gemma":[0.997474,0.0004430109,0.0001769186,0.001624797,0.0001434228,0.0001378907],"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":[0.000007304772,0.0001709486,0.00002822573,0.00004699779,0.00005453677,0.000004295801,0.001117742,0.8453403,0.0001400233,0.03043751,0.00185647,0.1207957],"study_design_scores_gemma":[0.0003371373,0.0001473712,0.00003923853,0.000106923,0.000007262504,0.00004525633,0.00003602501,0.9916865,0.0009923382,0.001136028,0.005155324,0.0003105561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001152597,0.00004608899,0.9900806,0.0003778435,0.001378889,0.0002238949,0.000001144936,0.002418342,0.004320601],"genre_scores_gemma":[0.7735078,0.000005117365,0.2256084,0.0003160511,0.0001163549,0.00001257344,0.000001597698,0.00001957741,0.0004125598],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7723551,"threshold_uncertainty_score":0.9930387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784755003802605,"score_gpt":0.2595705963858104,"score_spread":0.2417230463477844,"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."}}