Predicting Program Power Consumption

نویسندگان

  • Chandra Krintz
  • Ye Wen
  • Rich Wolski
چکیده

In this paper, we investigate the degree to which power dissipation induced by program execution can be measured by application-level software tools and predicted by a compiler and runtime system. Application control of the power it uses while executing on a processor is critical to battery-powered mobile devices that are an integral to any realization of ubiquitous computing. Our work investigates the use of dissipation rates to make whole-program power-consumption estimates.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Effective Use of Performance Monitoring Counters for Run-Time Prediction of Power

Power dissipation and energy consumption have recently become first-order design constraints for microprocessors. In this paper we present the measured power dissipation of several SPEC benchmarks executing on a Pentium 4 processor. Using on-chip performance monitoring counters, we dynamically correlate relevant performance metrics such as instructions per cycle, second-level cache hits, and bo...

متن کامل

Statistical Power Consumption Analysis and Modeling for GPU-based Computing

In recent years, more and more transistors have been integrated within the GPU, which has resulted in steadily rising power consumption requirements. In this paper we present a preliminary scheme to statistically analyze and model the power consumption of a mainstream GPU (NVidia GeForce 8800gt) by exploiting the innate coupling among power consumption characteristics, runtime performance, and ...

متن کامل

Using Artificial Neural Network Techniques for Prediction of Electric Energy Consumption

Due to imprecision and uncertainties in predicting real world problems, artificial neural network (ANN) techniques have become increasingly useful for modeling and optimization. This paper presents an artificial neural network approach for forecasting electric energy consumption. For effective planning and operation of power systems, optimal forecasting tools are needed for energy operators to ...

متن کامل

Code Coverage-Based Power Estimation Techniques for Microprocessors

We have developed a function-level power estimation methodology for predicting the power dissipation of embedded software. For a given microprocessor core, we empirically build the “power data bank”, which stores the power information of the built-in library functions and basic instructions. To estimate the average power of an embedded software on this core, we first decompose the machine code ...

متن کامل

Adaptive Mode Control for Low-Power Caches Based on Way-Prediction Accuracy

This paper proposes a novel cache architecture for low power consumption, called “Adaptive Way-Predicting Cache (AWP cache).” The AWP cache has multi-operation modes and dynamically adapts the operation mode based on the accuracy of way-prediction results. A confidence counter for way prediction is implemented to each cache set. In order to analyze the effectiveness of the AWP cache, we perform...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002