{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006481277,0.0007339239,0.00046479,0.0006142828,0.0005938971,0.001519211,0.001832918,0.000678142,0.0671479],"category_scores_gemma":[0.001907834,0.0004617744,0.0005318406,0.0007607061,0.0003911583,0.001981771,0.002089677,0.001156112,0.02948093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004645025,"about_ca_system_score_gemma":0.0009426524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008522483,"about_ca_topic_score_gemma":0.001476214,"domain_scores_codex":[0.9992593,0.00007865881,0.00003580797,0.0001471125,0.0003589148,0.0001201657],"domain_scores_gemma":[0.9988515,0.0001599216,0.00005654576,0.0004824193,0.000358689,0.00009084884],"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":[0.001106794,0.0002465865,0.0032408,0.0006385319,0.0001204617,0.0005609486,0.0001823023,0.01280295,0.02819946,0.05318268,0.4386068,0.4611117],"study_design_scores_gemma":[0.0001991281,0.0003522729,0.002094145,0.0000829997,0.00005431555,0.0007084904,0.00009208211,0.0693373,0.03859378,0.03025915,0.8581542,0.00007208224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04011958,0.002631232,0.4725679,0.002299725,0.002490317,0.0006449969,0.01061983,0.115982,0.3526444],"genre_scores_gemma":[0.3813051,0.002094046,0.2902027,0.003057001,0.0008412753,0.0008407973,0.03329322,0.01327017,0.2750956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0671479,"threshold_uncertainty_score":0,"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."}}