Proactive voltage droop mitigation techniques for high performance processors

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2022

Author dc:creator

• Zhang, Jimmy Jieming

Contributors dc:contributor

• Kumar, Rakesh
• Hanumolu, Pavan K

• Proactive Voltage Noise Mitigation
• Voltage Emergency
• Prediction

Statement dc:rights

• Copyright 2022 Jimmy Zhang

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/117726

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F117726