{"id":"W3203599871","doi":"10.1145/3458744.3473354","title":"Adapting SYCL’s SIMT Programming Paradigm for Accelerators via Program Reconstruction","year":2021,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Affine transformation; Abstraction; Kernel (algebra); Programming language; Code (set theory); Parallel computing; Operating system; Mathematics; Discrete mathematics; Pure mathematics","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":[0.0002742957,0.0001387385,0.0001604625,0.00007679575,0.0002584932,0.0004506091,0.0003494879,0.00008104571,0.000008842402],"category_scores_gemma":[0.00006492047,0.0001359997,0.00009375912,0.0005033395,0.00002590866,0.0004277872,0.0001268706,0.00009866896,0.000004586572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003924998,"about_ca_system_score_gemma":0.0001025575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008061078,"about_ca_topic_score_gemma":0.000006296471,"domain_scores_codex":[0.9987241,0.00005461161,0.0002936918,0.0004603394,0.0001400973,0.0003271708],"domain_scores_gemma":[0.9991629,0.00008356143,0.0001175868,0.0003553673,0.0001962123,0.00008436265],"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":[0.000001971361,0.00006734716,0.0002089615,0.00001669958,0.00001380118,0.000003220707,0.00007700036,0.0008026668,0.00009384582,0.01858,0.0003777981,0.9797567],"study_design_scores_gemma":[0.0002914082,0.0001627537,0.00006965233,0.00004429425,0.000007379549,0.0001232879,0.00003591979,0.9483554,0.01667546,0.006332539,0.02758161,0.0003202719],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001328127,0.0000896707,0.9933482,0.0005629273,0.0003180431,0.0004794476,3.547648e-7,0.002221426,0.001651804],"genre_scores_gemma":[0.1131608,0.000009614438,0.8861735,0.0001513343,0.00008756173,0.0001625607,0.000006516248,0.00001142381,0.0002366925],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9794364,"threshold_uncertainty_score":0.5545908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841640213965443,"score_gpt":0.2896920844753937,"score_spread":0.2612756823357393,"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."}}