Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Accurate and stable CPU por modelling is fundamental in modern system-on-chips (SoCs) for two main reasons: 1) they enable significant online energy savings by providing a run-time manager with reliable por consumption data for controlling CPU energy-saving techniques; 2) they can be used as accurate and trusted reference models for system design and exploration.  begin by showing the limitations in typical performance monitoring counter (PMC) based por modelling approaches and illustrate how an improved model formulation results in a more stable model that efficiently captures relationships beten the input variables and the por consumption. Using this as a solid foundation,  present a methodology for adding thermal-awareness and analytically decomposing the por into its constituting parts.  develop and validate our methodology using data recorded from a quad-core ARM Cortex-A15 mobile CPU and  achieve an average prediction error of 3.7% across 39 diverse workloads, 8 Dynamic Voltage-Frequency Scaling (DVFS) levels and with a CPU temperature ranging from 31° C to 91° C. Moreover,  measure the effect of switching cores offline and decompose the existing por model to estimate the static por of each CPU and L2 cache, the dynamic por due to constant background (BG) switching, and the dynamic por caused by the activity of each CPU individually. Finally,  provide our model equations and software tools for implementing in a run-time manager or for using with an architectural simulator, such as gem5.
['Matthew J. Walker', 'Stephan Diestelhorst', 'Andreas Hansson', 'Domenico Balsamo', 'Geoff V. Merrett', 'Bashir M. Al-Hashimi']
I am writing a research paper on a idea Thermally-aware composite run-time CPU power models
[{"from": "human", "value": "I am writing a research paper on a idea Thermally-aware composite run-time CPU power models"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Accurate and stable CPU por modelling is fundamental in modern system-on-chips (SoCs) for two main reasons: 1) they enable significant online energy savings by providing a run-time manager with reliable por consumption data for controlling CPU energy-saving techniques; 2) they can be used as accurate and trusted reference models for system design and exploration.  begin by showing the limitations in typical performance monitoring counter (PMC) based por modelling approaches and illustrate how an improved model formulation results in a more stable model that efficiently captures relationships beten the input variables and the por consumption. Using this as a solid foundation,  present a methodology for adding thermal-awareness and analytically decomposing the por into its constituting parts.  develop and validate our methodology using data recorded from a quad-core ARM Cortex-A15 mobile CPU and  achieve an average prediction error of 3.7% across 39 diverse workloads, 8 Dynamic Voltage-Frequency Scaling (DVFS) levels and with a CPU temperature ranging from 31\u00b0 C to 91\u00b0 C. Moreover,  measure the effect of switching cores offline and decompose the existing por model to estimate the static por of each CPU and L2 cache, the dynamic por due to constant background (BG) switching, and the dynamic por caused by the activity of each CPU individually. Finally,  provide our model equations and software tools for implementing in a run-time manager or for using with an architectural simulator, such as gem5."}]