Run-time power estimation in high performance microprocessors

Joseph, Russ; Martonosi, Margaret

doi:10.1145/383082.383119

Cited by 153 publications

(65 citation statements)

References 15 publications

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“…Prior work has developed counter-based or profilebased estimates for much simpler processors [3,16,19,28]. In our approach, we estimate physical component powers using counter-based measures, and also generate reasonable total power estimates.…”

Section: Modeling Power For Processor Sub-unitsmentioning

confidence: 99%

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Runtime power monitoring in high-end processors: methodology and empirical data

Isci

Martonosi

22nd Digital Avionics Systems Conference. Proceedings (Cat. No.03CH37449)

346

321

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Section: Modeling Power For Processor Sub-unitsmentioning

confidence: 99%

“…While good for understanding processor performance, the translation from performance counters to power behavior is more indirect. Nonetheless, some prior research efforts have produced tools in which perunit energy estimates are derived from performance counters [16,17].…”

Section: Introductionmentioning

confidence: 99%

Runtime power monitoring in high-end processors: methodology and empirical data

Isci

Martonosi

22nd Digital Avionics Systems Conference. Proceedings (Cat. No.03CH37449)

346

321

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show abstract

“…McCullough et al [5] evaluated the need for pervasive power instrumentation by exploring the effectiveness of power modeling on modern hardware.Joseph et al [6] examined the use of hardware performance counters as proxies for power meters and discussed which performance counters count power-relevant events. Lefurgy et al [7] presented a technique that could control the peak power consumption of a high-density server by implementing a feedback controller that uses system-level power measurement to select the highest performance state while keeping the system within a fixed power constraint.…”

Section: Related Workmentioning

confidence: 99%

Modeling the Power Consumption of Multiple Typical Applications Based on Linux

Wang¹,

Li²,

Zhang³

et al. 2016

Proceedings of the 2016 International Conference on Communications, Information Management and Network Security

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Abstract-Since huge power consumption of large data centers has become a crucial problem recently, power models, especially precise models, turn out to be important for service providers to learn about the application status in order to make wise decisions. In this paper, we focus on the power modeling of typical applications upon Linux platforms, including CPU-intensive applications, memory-intensive applications, and networkintensive applications. We established models for these different types of applications respectively based on the collection of massive realistic data and further calibrated these models. Error analysis was also given after comparing the computed values with the actual measured data. Finally, synthetic model for the hybrid application execution scenario was figured out and discussed.

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“…There are numerous studies of energy and power consumption [2,27,34,35,36,43]. Many researchers reduce power with novel microarchitectures [29,6,13,21].…”

Section: Related Workmentioning

confidence: 99%