{"id":"W2274813036","doi":"10.1109/fpt.2015.7393142","title":"Resource and memory management techniques for the high-level synthesis of software threads into parallel FPGA hardware","year":2015,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Shared memory; Computer hardware; Parallel computing; Distributed memory; Registered memory; Field-programmable gate array; Uniform memory access; Memory map; Software; POSIX Threads; Distributed shared memory; Thread (computing); Embedded system; Memory management; Operating system; Semiconductor memory","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":[0.0005007331,0.0003857783,0.0002253289,0.0004673775,0.0003747381,0.0004705319,0.0007371065,0.000228251,0.002983853],"category_scores_gemma":[0.0009725898,0.0003001862,0.0004195013,0.0003008744,0.0004465598,0.0005510038,0.0004928018,0.0006391028,0.0004300528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006378372,"about_ca_system_score_gemma":0.0006745266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000887626,"about_ca_topic_score_gemma":0.001720786,"domain_scores_codex":[0.9996829,0.00006564569,0.00003360293,0.00005235338,0.0001199451,0.00004557133],"domain_scores_gemma":[0.9994898,0.0001866409,0.00008806882,0.0001441719,0.00007060969,0.00002066462],"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":[0.0003601926,0.0001852171,0.002630114,0.0004908316,0.00008069052,0.0003374254,0.000550686,0.2438466,0.2688096,0.06461482,0.002686642,0.4154072],"study_design_scores_gemma":[0.0001315531,0.0004937314,0.0008206783,0.00003772572,0.00006335771,0.0001556712,0.0000749504,0.8150281,0.1520218,0.01474837,0.01639456,0.00002954178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03305493,0.0001302275,0.9626709,0.00006723121,0.00001877214,0.00006191911,0.00002588795,0.001507465,0.002462605],"genre_scores_gemma":[0.326245,0.00009642034,0.6704696,0.0000545027,0.00001836972,0.0001438411,0.00007580913,0.0002541473,0.002642267],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002983853,"threshold_uncertainty_score":0.00998193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350393575440201,"score_gpt":0.264971044748907,"score_spread":0.2299316872048869,"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."}}