Power Management for Multicore Processors via Heterogeneous Voltage Regulation and Machine Learning Enabled Adaptation-Reference-Cited by-同舟云学术

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Power Management for Multicore Processors via Heterogeneous Voltage Regulation and Machine Learning Enabled Adaptation

Published:2019-11 Issue:11 Volume:27 Page:2641-2654
ISSN:1063-8210
Container-title:IEEE Transactions on Very Large Scale Integration (VLSI) Systems
language:
Short-container-title:IEEE Trans. VLSI Syst.

Author:

Zhan Xin^ORCID,Chen Jianhao^ORCID,Sanchez-Sinencio Edgar,Li Peng

Funder

National Science Foundation

Qatar National Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

https://ieeexplore.ieee.org/ielam/92/8880704/8759966-aam.pdf

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Reinforcement Learning-Based Power Management for Chiplet-Based Multicore Systems;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-09

2. F-LEMMA: Fast Learning-Based Energy Management for Multi-/Many-Core Processors;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-02

3. System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System;ACM Transactions on Architecture and Code Optimization;2021-12-31

4. Systolic-Array Spiking Neural Accelerators with Dynamic Heterogeneous Voltage Regulation;2021 International Joint Conference on Neural Networks (IJCNN);2021-07-18

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