An Analysis of Efficient Multi-Core Global Power Management Policies: Maximizing Performance for a Given Power Budget

By Canturk Isci, Alper Buyuktosunoglu, Chen-Yong Cher, Pradip Bose, Margaret Martonosi. 2006

671 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Hardware and Architecture, ML Systems & Hardware

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Citations in the corpus

Dynamo: Facebook's Data Center-Wide Power Management System (2016, background): “Based on their control goals, they fall into the following groups: peak power management approaches [4], [8], [26]; thermal management approaches [9], [10], [27]; and average power or energy management approaches [28], [29], [30], [32], [33].”
Improving smartphone user experience by balancing performance and energy with probabilistic QoS guarantee (2016, neutral): “We summarize some of the most closely related works to this paper [7, 10, 12, 13, 16, 18, 20–24, 26, 27, 36, 38, 43, 44, 47, 52].”
System level analysis of fast, per-core DVFS using on-chip switching regulators (2008, background): “Dynamic voltage and frequency scaling (DVFS) was introduced in the 90's [19], offering great promise to dramatically reduce power consumption in large digital systems by adapting both voltage and frequency of the system with respect to changing workloads [16] [28] [30] [36].”
Variation-Aware Application Scheduling and Power Management for Chip Multiprocessors (2008, methodology): “In embedded systems, linear programming has been used to solve the problem of scheduling tasks on CMPs [33].”
Analysis of dynamic voltage/frequency scaling in chip-multiprocessors (2007, methodology): “There have been few studies on DVFS for CMPs, and almost all have assumed per-core DVFS [6][7].”
A Survey of Green Networking Research (2010, background): “…such as dynamic voltage scaling [18], [56], techniques to group instructions to increase scheduling logic efﬁciency [57], energy-aware memory allocation [58], speciﬁc thread migration policies [59] or energy management policies [60] to increase energy efﬁciency in multi-core architectures.”