{"doi":"10.1145/3229631.3229633","title":"A first-order approximation of microarchitecture energy-efficiency","abstract":null,"journal":"Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation","year":2018,"id":600514,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1539598,"name":"Yosi Ben-Asher","orcid":null,"position":1,"is_corresponding":false},{"id":1531057,"name":"Ahmad Yasin","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"A first-order approximation of microarchitecture energy-efficiency","abstract":"With the increasing demand for performance and the slowness in process technology, it is becoming critical to understand microarchitecture efficiency. This paper presents a simple model for approximating the contribution of the microarchitecture vs. the contribution of the process technology to the overall energy-efficiency of a processor. The results indicate that the contribution of microarchitectural changes is highly workload-dependent and is negligible for several workloads. Our method can be applied to other workloads and systems because its underlying analytical model is manufacturing- and workload-independent.","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"21097893","pmcid":null,"openalex_id":"https://openalex.org/W2909374716","authors":[],"funders":[],"total_grants":0,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"closed","license":"https://www.acm.org/publications/policies/copyright_policy#Background","oa_locations":[{"url":"https://dl.acm.org/doi/10.1145/3229631.3229633","host_type":"publisher"},{"url":"https://dl.acm.org/doi/pdf/10.1145/3229631.3229633","host_type":"publisher"},{"url":"https://doi.org/10.1145/3229631.3229633","host_type":""}],"fields_of_study":["Parallel Computing and Optimization Techniques","Green IT and Sustainability","Cloud Computing and Resource Management"],"mesh_terms":[],"keywords":["Microarchitecture","Workload","Computer science","Slowness","Process (computing)","Efficient energy use","Energy (signal processing)","Parallel computing","Computer architecture","Operating system","Engineering"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Affordable and clean energy"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-29T13:20:49.078637Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}