Dynamic energy management for chip multi-processors under performance constraints

Author:

Moghaddam Milad Ghorbani,Ababei Cristinel

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference33 articles.

1. Data Center Efficiency Assessment - Scaling Up Energy Efficiency Across the Data Center Industry: Evaluating Key Drivers and Barriers;Whitney,2014

2. Annual energy outlook u. s. energy information administration (EIA), 2016, [Online]. Available: http://www.eia.gov/forecasts/aeo/data.cfm#enconsec.

3. United States Environmental Protection Agency, Report to Congress on Server and Data Center Energy Efficiency,2007

4. System level analysis of fast, per-core DVFS using on-chip switching regulators;Kim,2008

5. Enabling improved power management in multicore processors through clustered DVFS;Kolpe,2011

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1. Learning-based Phase-aware Multi-core CPU Workload Forecasting;ACM Transactions on Design Automation of Electronic Systems;2022-12-24

2. Unified Cross-Layer Cluster-Node Scheduling for Heterogeneous Datacenters;2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC);2022-10-24

3. Cooperative Slack Management: Saving Energy of Multicore Processors by Trading Performance Slack Between QoS-Constrained Applications;ACM Transactions on Architecture and Code Optimization;2022-01-31

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