{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/117726"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/117726","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Proactive voltage droop mitigation techniques for high performance processors","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms","abstract_has_math":false,"creators":["Zhang, Jimmy Jieming"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Kumar, Rakesh","Hanumolu, Pavan K"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-12","date_published":"2022-12","updated_at":"2026-07-22T22:24:56Z","subjects":["Proactive Voltage Noise Mitigation","Voltage Emergency","Prediction"],"languages":["en","eng"],"rights":["Copyright 2022 Jimmy Zhang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/117726","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kumar, Rakesh","Hanumolu, Pavan K"]},{"key":"dc:creator","label":"Author","values":["Zhang, Jimmy Jieming"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-12","2022-10-20"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Proactive Voltage Noise Mitigation","Voltage Emergency","Prediction"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2022 Jimmy Zhang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/117726"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms","The student, Jimmy Zhang, accepted the attached license on 2022-09-15 at 17:28.","The student, Jimmy Zhang, submitted this Thesis for approval on 2022-09-15 at 17:35.","This Thesis was approved for publication on 2022-10-20 at 15:14.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18496 on 2023-04-12 at 07:23:40","As processors increase in performance and power consumption, the demand on the power deliver subsystem to provide a low noise voltage line becomes increasingly difficult to meet. If the voltage noise causes the voltage to droop below the required operating voltage, errors may occur, causing a voltage emergency. Reactive techniques for handling voltage emergencies are limited to only low frequency droops or are too complex to implement over an entire processor. Proactive voltage emergency techniques aim to solve these issues by accurately predicting and mitigating voltage emergency droops before they occur. In this work we study various forms of voltage emergency prediction. We build a simulation framework to test and analyze voltage emergency predictors. We evaluate signature-based prediction, and identify which workload types work best with signature-based prediction. We analyze application specific voltage emergency predictors and show that constraining predictors to an application can increase performance and reduce complexity. Finally, we analyze current based prediction, which we develop into a novel general-purpose predictor that outperforms previously proposed predictors."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Proactive voltage droop mitigation techniques for high performance processors"]}]}],"canonical_facts":{"dc:contributor":["Kumar, Rakesh","Hanumolu, Pavan K"],"dc:creator":["Zhang, Jimmy Jieming"],"dc:date":["2022-12","2022-10-20"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms","The student, Jimmy Zhang, accepted the attached license on 2022-09-15 at 17:28.","The student, Jimmy Zhang, submitted this Thesis for approval on 2022-09-15 at 17:35.","This Thesis was approved for publication on 2022-10-20 at 15:14.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18496 on 2023-04-12 at 07:23:40","As processors increase in performance and power consumption, the demand on the power deliver subsystem to provide a low noise voltage line becomes increasingly difficult to meet. If the voltage noise causes the voltage to droop below the required operating voltage, errors may occur, causing a voltage emergency. Reactive techniques for handling voltage emergencies are limited to only low frequency droops or are too complex to implement over an entire processor. Proactive voltage emergency techniques aim to solve these issues by accurately predicting and mitigating voltage emergency droops before they occur. In this work we study various forms of voltage emergency prediction. We build a simulation framework to test and analyze voltage emergency predictors. We evaluate signature-based prediction, and identify which workload types work best with signature-based prediction. We analyze application specific voltage emergency predictors and show that constraining predictors to an application can increase performance and reduce complexity. Finally, we analyze current based prediction, which we develop into a novel general-purpose predictor that outperforms previously proposed predictors."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/117726"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Jimmy Zhang"],"dc:subject":["Proactive Voltage Noise Mitigation","Voltage Emergency","Prediction"],"dc:title":["Proactive voltage droop mitigation techniques for high performance processors"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:56Z"}