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{"paper_id": "2009__spotlight-a-low-complexity-highly-accurate-profile-based-branch-predictor__10-1109-pccc-2009-5403813-8e466585", "title": "Spotlight a low complexity highly accurate profile based branch predictor", "year": 2009, "doi": null, "scope": "core_architecture", "scope_label": "Core Predictor Architecture", "scope_scores": {"security": 0, "software_static_wcet": 0, "testing_verification": 0, "power_embedded": 1, "simulator_fpga": 0, "application_adjacent": 0, "core_architecture": 30}, "core_family": "two_level_history", "core_family_label": "Two-Level / History / Correlation", "core_family_scores": {"tage_gehl_corrector": 0, "perceptron_neural": 16, "btb_fetch_target": 0, "indirect_ras": 0, "two_level_history": 19, "hybrid_industrial": 3}, "clustering_vector_source": "architecture_focus_residual", "architecture_focus_source": "architecture_focus_chunks", "architecture_focus_candidate_chunks": 8, "architecture_focus_selected_chunks": 8, "fine_cluster_id": "core_architecture:5", "fine_cluster_label": "Long Global-History / GEHL-TAGE Evolution", "distance_to_cluster_centroid": 0.621536241021746, "citation_count": 5, "influential_citation_count": null, "citation_status": "ok", "citation_source": "openalex", "impact_score": 0.24071403473636452, "novelty_score": 0.5094348292012282, "canonicality_score": 0.4905651707987718, "semantic_influence_score": 0.03936476205373777, "descendant_support_count": 1, "year_rank": 16, "impact_rank": 12, "novelty_rank": 17}
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{"paper_id": "2011__storage-free-confidence-estimation-for-the-tage-branch-predictor__10-1109-hpca-2011-5749750-3e74ab33", "title": "Storage free confidence estimation for the tage branch predictor", "year": 2011, "doi": null, "scope": "core_architecture", "scope_label": "Core Predictor Architecture", "scope_scores": {"security": 0, "software_static_wcet": 0, "testing_verification": 0, "power_embedded": 1, "simulator_fpga": 0, "application_adjacent": 0, "core_architecture": 22}, "core_family": "tage_gehl_corrector", "core_family_label": "TAGE / GEHL / Statistical Corrector", "core_family_scores": {"tage_gehl_corrector": 9, "perceptron_neural": 0, "btb_fetch_target": 1, "indirect_ras": 0, "two_level_history": 6, "hybrid_industrial": 0}, "clustering_vector_source": "architecture_focus_residual", "architecture_focus_source": "architecture_focus_chunks", "architecture_focus_candidate_chunks": 9, "architecture_focus_selected_chunks": 9, "fine_cluster_id": "core_architecture:5", "fine_cluster_label": "Long Global-History / GEHL-TAGE Evolution", "distance_to_cluster_centroid": 0.693365024149594, "citation_count": 19, "influential_citation_count": null, "citation_status": "ok", "citation_source": "openalex", "impact_score": 0.3183692213539705, "novelty_score": 0.6765150636532183, "canonicality_score": 0.32348493634678166, "semantic_influence_score": 0.09128759529725229, "descendant_support_count": 1, "year_rank": 19, "impact_rank": 10, "novelty_rank": 9}
{"paper_id": "2012__energy-efficient-branch-prediction-with-compiler-guided-history-stack__10-1109-date-2012-6176513-3791097f", "title": "Energy efficient branch prediction with compiler guided history stack", "year": 2012, "doi": null, "scope": "core_architecture", "scope_label": "Core Predictor Architecture", "scope_scores": {"security": 0, "software_static_wcet": 12, "testing_verification": 0, "power_embedded": 0, "simulator_fpga": 0, "application_adjacent": 0, "core_architecture": 28}, "core_family": "two_level_history", "core_family_label": "Two-Level / History / Correlation", "core_family_scores": {"tage_gehl_corrector": 3, "perceptron_neural": 3, "btb_fetch_target": 2, "indirect_ras": 0, "two_level_history": 23, "hybrid_industrial": 1}, "clustering_vector_source": "architecture_focus_residual", "architecture_focus_source": "architecture_focus_chunks", "architecture_focus_candidate_chunks": 9, "architecture_focus_selected_chunks": 9, "fine_cluster_id": "core_architecture:5", "fine_cluster_label": "Long Global-History / GEHL-TAGE Evolution", "distance_to_cluster_centroid": 0.5001215616471424, "citation_count": null, "influential_citation_count": null, "citation_status": "unmatched", "citation_source": null, "impact_score": 0.45568210650845575, "novelty_score": 0.22701332333059465, "canonicality_score": 0.7729866766694053, "semantic_influence_score": 0.3196944335823345, "descendant_support_count": 3, "year_rank": 20, "impact_rank": 5, "novelty_rank": 24}
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{"paper_id": "2013__an-energy-efficient-branch-prediction-technique-via-global-history-noise-reduction__10-1109-islped-2013-6629296-ac33fad3", "title": "An energy efficient branch prediction technique via global history noise reduction", "year": 2013, "doi": null, "scope": "core_architecture", "scope_label": "Core Predictor Architecture", "scope_scores": {"security": 0, "software_static_wcet": 0, "testing_verification": 0, "power_embedded": 1, "simulator_fpga": 0, "application_adjacent": 0, "core_architecture": 24}, "core_family": "two_level_history", "core_family_label": "Two-Level / History / Correlation", "core_family_scores": {"tage_gehl_corrector": 4, "perceptron_neural": 4, "btb_fetch_target": 0, "indirect_ras": 3, "two_level_history": 9, "hybrid_industrial": 4}, "clustering_vector_source": "architecture_focus_residual", "architecture_focus_source": "architecture_focus_chunks", "architecture_focus_candidate_chunks": 15, "architecture_focus_selected_chunks": 10, "fine_cluster_id": "core_architecture:5", "fine_cluster_label": "Long Global-History / GEHL-TAGE Evolution", "distance_to_cluster_centroid": 0.5742794529073354, "citation_count": null, "influential_citation_count": null, "citation_status": "unmatched", "citation_source": null, "impact_score": 0.27507034546935466, "novelty_score": 0.39951127357659455, "canonicality_score": 0.6004887264234055, "semantic_influence_score": 0.13560532506047576, "descendant_support_count": 1, "year_rank": 23, "impact_rank": 11, "novelty_rank": 22}
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