4.5 Article

Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Hardware & Architecture

Machine Learning for Power, Energy, and Thermal Management on Multicore Processors: A Survey

Santiago Pagani et al.

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2020)

Article Computer Science, Hardware & Architecture

Meeting Power Constraints While Mitigating Contention on Clustered Multiprocessor System

Theodoros Marinakis et al.

IEEE EMBEDDED SYSTEMS LETTERS (2020)

Proceedings Paper Automation & Control Systems

A Framework to Design and Implement Real-time Multicore Schedulers using Machine Learning

Leonardo Passig Horstmann et al.

2019 24TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA) (2019)

Article Computer Science, Information Systems

Task aware hybrid DVFS for multi-core real-time systems using machine learning

Fakhruddin Muhammad Mahbub ul Islam et al.

INFORMATION SCIENCES (2018)

Proceedings Paper Computer Science, Hardware & Architecture

CHIPS-AHOy: A Predictable Holistic Cyber-Physical Hypervisor for MPSoCs

Tiago Muck et al.

2018 INTERNATIONAL CONFERENCE ON EMBEDDED COMPUTER SYSTEMS: ARCHITECTURES, MODELING, AND SIMULATION (SAMOS XVIII) (2018)

Article Computer Science, Hardware & Architecture

SPACE: Semi-Partitioned CachE for Energy Efficient, Hard Real-Time Systems

Gil Kedar et al.

IEEE TRANSACTIONS ON COMPUTERS (2017)

Article Computer Science, Hardware & Architecture

Schedulability Analysis of Hierarchical Real-Time Systems under Shared Resources

Alessandro Biondi et al.

IEEE TRANSACTIONS ON COMPUTERS (2016)

Proceedings Paper Computer Science, Hardware & Architecture

Utilizing Hardware Performance Counters to Model and Optimize the Energy and Performance of Large Scale Scientific Applications on Power-aware Supercomputers

Xingfu Wu et al.

2016 IEEE 30TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW) (2016)

Article Computer Science, Hardware & Architecture

Achieving Autonomous Power Management Using Reinforcement Learning

Hao Shen et al.

ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS (2013)

Article Computer Science, Hardware & Architecture

Period Selection for Minimal Hyperperiod in Periodic Task Systems

Ismael Ripoll et al.

IEEE TRANSACTIONS ON COMPUTERS (2013)

Article Computer Science, Hardware & Architecture

Supervised Learning Based Power Management for Multicore Processors

Hwisung Jung et al.

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2010)

Article Computer Science, Hardware & Architecture

A Counter Architecture for Online DVFS Profitability Estimation

Stijn Eyerman et al.

IEEE TRANSACTIONS ON COMPUTERS (2010)