{"id":"W2007015871","doi":"10.1109/fpt.2010.5681538","title":"Parallelizing FPGA placement using Transactional Memory","year":2010,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Parallel computing; Thread (computing); Transactional memory; Scalability; Field-programmable gate array; Software; Multi-core processor; Source lines of code; Multithreading; Simulated annealing; Speedup; Embedded system; Operating system; Database transaction; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000467341,0.0004073354,0.0002991859,0.0006531802,0.0003392863,0.0009174201,0.001374409,0.0003763109,0.003583342],"category_scores_gemma":[0.001391402,0.0003659574,0.0003632606,0.0006563556,0.0005133296,0.0008058087,0.0007137447,0.0005161972,0.0005433961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007251594,"about_ca_system_score_gemma":0.0008700042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002900641,"about_ca_topic_score_gemma":0.005477828,"domain_scores_codex":[0.9995797,0.00008271598,0.00003650041,0.00008654469,0.00015334,0.00006118605],"domain_scores_gemma":[0.9992925,0.0002164426,0.00007089802,0.0002279893,0.0001575808,0.00003457265],"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":[0.0005190787,0.0001557511,0.004619037,0.000189569,0.000088309,0.0003537152,0.0003639575,0.4905102,0.1018593,0.0138937,0.004559993,0.3828874],"study_design_scores_gemma":[0.00005701058,0.0001633666,0.0005978751,0.00001006179,0.00001708801,0.00008360735,0.0000709059,0.9489952,0.0423687,0.003430985,0.00418655,0.00001868789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2775831,0.0004213031,0.6983896,0.0002850575,0.0001479206,0.00009410997,0.0001119299,0.01263481,0.01033213],"genre_scores_gemma":[0.6497291,0.0001323117,0.3468918,0.0000798082,0.000018819,0.00006877024,0.0001804379,0.0003819888,0.002516981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003583342,"threshold_uncertainty_score":0.01198745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082260540460202,"score_gpt":0.259405070113704,"score_spread":0.2385824647091019,"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."}}