{"id":"W2109473415","doi":"10.1109/eurmic.1998.711814","title":"Revolver: a high-performance MIMD architecture for collision free computing","year":2002,"lang":"en","type":"article","venue":"Proceedings. 24th EUROMICRO Conference (Cat. No.98EX204)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute of Steel Construction","keywords":"Computer science; Parallel computing; Pipeline (software); Very long instruction word; MIMD; Computer architecture; Instruction-level parallelism; Compiler; Instruction set; Register file; Parallelism (grammar); Microarchitecture; Multi-core processor; SIMD; Architecture; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002602668,0.0004057778,0.0005107672,0.0004459326,0.0004722812,0.0007564022,0.002063261,0.000636009,0.004658777],"category_scores_gemma":[0.0004363774,0.0002871118,0.0003135964,0.0005746862,0.0004709146,0.001044146,0.0008439405,0.0006730949,0.001583496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319359,"about_ca_system_score_gemma":0.0003130175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003448693,"about_ca_topic_score_gemma":0.0005260746,"domain_scores_codex":[0.9998301,0.00003357434,0.000008273035,0.00002799661,0.0000772608,0.00002281722],"domain_scores_gemma":[0.99985,0.00002474122,0.00001733645,0.0000506618,0.00003298853,0.00002427689],"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":[0.001104336,0.0002528006,0.001236764,0.0004530359,0.0002087993,0.0009828678,0.0004734835,0.09179804,0.1978699,0.1130492,0.0395123,0.5530584],"study_design_scores_gemma":[0.0002872439,0.001035724,0.0009774106,0.00004749422,0.00009305038,0.001258871,0.00007844271,0.7366567,0.1045329,0.03633187,0.1185785,0.0001217431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03112567,0.001827437,0.9443682,0.0003743423,0.000239414,0.0001000541,0.0001024478,0.01132322,0.01053932],"genre_scores_gemma":[0.3573182,0.001195859,0.6256738,0.0004590009,0.0001920972,0.0002026763,0.000434735,0.0005207664,0.01400281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004658777,"threshold_uncertainty_score":0.01558518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641592196519167,"score_gpt":0.2275528607876446,"score_spread":0.201136938822453,"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."}}