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Using complete machine simulation for software power estimation: the SoftWatt approach

S. Gurumurthi, A. Sivasubramaniam, M.J. Irwin, N. Vijaykrishnan, M. Kandemir
Proceedings Eighth International Symposium on High Performance Computer Architecture  
In this work, we present a complete system power simulator, called SoftWatt, that models the CPU, memory hierarchy and a low-power disk subsystem and quantifies the power behavior of both the application  ...  Our results using Spec JVM98 benchmark suite emphasize the importance of complete system simulation to understand the power impact of architecture and operating system on application execution.  ...  Therefore, energy is also consumed in both the processor and the memory SoftWatt uses analytical power models. A postprocessing approach is taken to calculate the power values.  ... 
doi:10.1109/hpca.2002.995705 dblp:conf/hpca/GurumurthiSIVKLJ02 fatcat:d4e5hgbq6vanrdpdt2yp7bfklm

Run-time modeling and estimation of operating system power consumption

Tao Li, Lizy Kurian John
2003 Performance Evaluation Review  
The increasing constraints on power consumption in many computing systems point to the need for power modeling and estimation for all components of a system.  ...  Therefore, modeling OS power is imperative for accurate software power evaluation, as well as power management (e.g. dynamic thermal control and equal energy scheduling) in the light of OS-intensive workloads  ...  Framework and System Configuration We use the complete system power simulator SoftWatt [9] that models the power dissipation of the CPU, memory hierarchy and a low-power disk subsystem to investigate  ... 
doi:10.1145/885651.781048 fatcat:hid6dnj5dnaalh45jdauw7kque

Run-time modeling and estimation of operating system power consumption

Tao Li, Lizy Kurian John
2003 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems - SIGMETRICS '03  
The increasing constraints on power consumption in many computing systems point to the need for power modeling and estimation for all components of a system.  ...  Therefore, modeling OS power is imperative for accurate software power evaluation, as well as power management (e.g. dynamic thermal control and equal energy scheduling) in the light of OS-intensive workloads  ...  Framework and System Configuration We use the complete system power simulator SoftWatt [9] that models the power dissipation of the CPU, memory hierarchy and a low-power disk subsystem to investigate  ... 
doi:10.1145/781047.781048 fatcat:7dygkmh7hrcpdjatpmcuuixbcy

Run-time modeling and estimation of operating system power consumption

Tao Li, Lizy Kurian John
2003 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems - SIGMETRICS '03  
The increasing constraints on power consumption in many computing systems point to the need for power modeling and estimation for all components of a system.  ...  Therefore, modeling OS power is imperative for accurate software power evaluation, as well as power management (e.g. dynamic thermal control and equal energy scheduling) in the light of OS-intensive workloads  ...  Framework and System Configuration We use the complete system power simulator SoftWatt [9] that models the power dissipation of the CPU, memory hierarchy and a low-power disk subsystem to investigate  ... 
doi:10.1145/781027.781048 dblp:conf/sigmetrics/LiJ03 fatcat:e5ziy5fb7rhzfovdixadpjzwla

Operating system power minimization through run-time processor resource adaptation

Tao Li, Lizy Kurian John
2006 Microprocessors and microsystems  
This approach permits precise hardware reconfigurations for the OS with low overhead and allows fine-grained performance/power tuning at the microarchitectural level.  ...  The Operating System (OS), which manages both software and hardware resources, dissipates a significant portion of power in the execution of many modern applications.  ...  Experimental methodology We use the complete system power simulator SoftWatt [7] that models the power dissipation of the CPU, memory hierarchy and a low-power disk subsystem to investigate the power  ... 
doi:10.1016/j.micpro.2005.12.001 fatcat:pd4oy43pvfeudganam642z4rte

Power/Energy Estimator for Designing WSN Nodes with Ambient Energy Harvesting Feature

Nicolas Ferry, Sylvain Ducloyer, Nathalie Julien, Dominique Jutel
2011 EURASIP Journal on Embedded Systems  
For our project, we solve it by creating a power/energy estimator that simulates business scenarios to predict node autonomy; the estimation concerns both power and energy features.  ...  The novelty comes from the ability to simulate the WSN harvesting capability and to estimate at runtime the remaining duration of each service.  ...  Acknowledgments The authors would like to thank the "CAPNET" project partners: fire service partners: SDIS29 (Service Départemental  ... 
doi:10.1155/2011/242386 fatcat:7rnhfkd54zbo7mb7b6hkjvfrgq

Routine based OS-aware microprocessor resource adaptation for run-time operating system power saving

Tao Li, Lizy Kurian John
2003 Proceedings of the 2003 international symposium on Low power electronics and design - ISLPED '03  
Simulation results show that compared with the existing sampling-based adaptation schemes, this novel methodology yields more attractive power and performance trade-off on the OS execution.  ...  To our knowledge, this paper is the first step to address the power saving issue of the OS itself, an increasingly important area that has been largely overlooked in the previous studies.  ...  We use the complete system power simulator SoftWatt [7] .  ... 
doi:10.1145/871506.871565 dblp:conf/islped/LiJ03 fatcat:lawz3r2jojesvmame57bofeqfa

Routine based OS-aware microprocessor resource adaptation for run-time operating system power saving

Tao Li, Lizy Kurian John
2003 Proceedings of the 2003 international symposium on Low power electronics and design - ISLPED '03  
Simulation results show that compared with the existing sampling-based adaptation schemes, this novel methodology yields more attractive power and performance trade-off on the OS execution.  ...  To our knowledge, this paper is the first step to address the power saving issue of the OS itself, an increasingly important area that has been largely overlooked in the previous studies.  ...  We use the complete system power simulator SoftWatt [7] .  ... 
doi:10.1145/871559.871565 fatcat:zydzq7rl35cgvkjvaorelfe2dq

High-performance, power-aware distributed computing for scientific applications

K.W. Cameron, Rong Ge, Xizhou Feng
2005 Computer  
Evolving parallel and distributed systems designed for these demanding scientific simulations will be enormously complex and power hungry.  ...  end of the decade.  ...  Source code is available for download at the SCAPE Laboratory Web site (http://scape.cs.vt.edu).  ... 
doi:10.1109/mc.2005.380 fatcat:jh4nsn3h2faghhu2gcjungmxwa

Embedded software energy characterization: Using non-intrusive measures for application source code annotation

Nicolas Fournel, Antoine Fraboulet, Paul Feautrier
2009 Journal of Embedded Computing  
This model aims at being integrated in fast cycle accurate simulation tools to give energy consumption feedback for embedded systems software programming.  ...  Estimations take into account the whole system consumption including peripherals.  ...  The SoftWatt simulator proposed in [6] uses a complete system simulator based on SimOS to monitor a complex operating system and interactions among CPU, memory hierarchy and hard disk operations.  ... 
doi:10.3233/jec-2009-0090 fatcat:en7pyek2rjcshhxw5fbv2mqkmq

Fine-Grained Energy Consumption Characterization and Modeling

Catherine Mills Olschanowsky, Tajana Rosing, Allan Snavely, Laura Carrington, Mustafa M. Tikir, Michael Laurenzano
2010 2010 DoD High Performance Computing Modernization Program Users Group Conference  
of the node in order to characterize operation energy costs, and a method of combining application information with independent energy measurements in order to estimate the energy requirements for specific  ...  The major contributions of this work include a method for performing fine-grained power measurements on high performance computing (HPC) resources, a benchmark infrastructure that exercises specific portions  ...  The authors would like to thank Eva Hocks and Jeffrey Bennett for their support during the use of Dash.  ... 
doi:10.1109/hpcmp-ugc.2010.54 fatcat:n5avezdlmrdsnjdypso7x44lre

Manycore simulation for peta-scale system design: Motivation, tools, challenges and prospects

Javad Zarrin, Rui L. Aguiar, João Paulo Barraca
2017 Simulation modelling practice and theory  
In this paper, we present the challenges for simulating future large scale manycore environments, and we investigate the adequacy of current modeling and simulation tools, methodologies and techniques.  ...  The aim of this work is to highlight how current approaches can best deal with the identified problems, smoothing the challenges of research in future peta-scale systems.  ...  The number of selected sampling units (or the sample size) must be sufficiently large for obtaining reliable (in terms of accuracy and precision in the estimate) simulation results (close to complete workload  ... 
doi:10.1016/j.simpat.2016.12.014 fatcat:j2acoyv235awfjkz6w7krvzh44

Designing Computational Clusters for Performance and Power [chapter]

Kirk W. Cameron, Rong Ge, Xizhou Feng
2007 Advances in Computers  
Yet, the demand for more powerful machines continues to grow. In this chapter, we motivate the need to reconsider the traditional performance-at-any-cost cluster design approach.  ...  We describe power-aware and low power techniques to reduce the power profiles of parallel applications and mitigate the impact on performance.  ...  System power simulators. Softwatt [39] is a complete system power simulator that models the microprocessor, memory systems and disk based on SimOS [60] .  ... 
doi:10.1016/s0065-2458(06)69002-5 fatcat:6piim42jtzcttnogp5gf45sz5e

Controlling Energy Demand in Mobile Computing Systems

Carla Schlatter Ellis
2007 Synthesis Lectures on Mobile and Pervasive Computing  
power consumption.  ...  These include: unpredictable variation in network quality, lowered trust and robustness of mobile elements, limitations on local resources imposed by weight and size constraints, and concern for battery  ...  This is the approach used in Intel's Mobile Power Guidelines to estimate power consumption of future systems (Intel Corporation 2000) .  ... 
doi:10.2200/s00089ed1v01y200704mpc002 fatcat:myednkwcj5h5jizajmmhrj6hmy

Peripheral state persistence for transiently-powered systems

Gautier Berthou, Tristan Delizy, Kevin Marquet, Tanguy Risset, Guillaume Salagnac
2017 2017 Global Internet of Things Summit (GIoTS)  
gives full visibility into machine state, something the programmers of larger computers may take for granted; and • Simulation allows experimentation with different machine parameters, to avoid "overfitting  ...  Work on modeling OS power consumption [93] based on the SoftWatt full-system simulator [64] has revealed correlations between architectural metrics such as instructions per cycle (IPC) and power consumption  ... 
doi:10.1109/giots.2017.8016243 dblp:conf/giots/BerthouDMRS17 fatcat:r2vbvtjlnvdlxkkt6ldrw43l6m
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