Linyi, China
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Wang H.,Lin Yi University | Chen Q.,University of Shanghai for Science and Technology
International Journal of Advancements in Computing Technology | Year: 2012

With the development of hardware and software, GPU has been used in Ggeneral-Purpose computation field. The high density of computing resource on chip bring in high performance as well as high power consumption. So the power consumption of GPU has increasingly become one of the most important issue for the development of general computing with GPUs. However, few research focus on estimating the energy consumption of GPU during the computing process. The goal of this study is to build energy consumption model that can predict the energy consumed in the computing phase for various GPUs applications. Our approach is to analyze the PTX code generated by the complier and count the dynamic instruction number that is the challenging problem. The average power can be obtained through this model. And the energy consumption is the product of the average power and the executing time. The experimental results reveal that the average relative error between the prediction model and the measured value is less than 5 percent. It can conclude that the power consumption model from the instruction level can effectively predict the application' energy consumption.


Lina F.,Lin Yi University
Applied Mechanics and Materials | Year: 2013

In this paper, the extensive application of audio testing software to Chinese musicology was reviewed. New audio testing software developed by Chinese musicologists include DEAM and GMAS, which along with imported audio testing software such as Solo Explore 1.0, Speech Analyzer3.0.1 have been widely applied by Chinese musicologists to ethnomusicology, archeology of music, folk music as well as musical entertainment. With the support of audio testing software, Chinese musicology has made much progress. Pitch (basic frequency) and intensity (amplitude) are fundamental in bringing about musical effect. Therefore, it is essential to determine and analyze these two factors in musicology. In light of determining and analyzing the two factors, audio testing software enjoys exceptional advantages, for they are able to monitor and detect the subtle changes in the basic frequency and amplitude of tones and register precisely the relationship between the changes and range of time while other photometers like flash photometer and frequency spectrograph fail to do so. In a word, audio testing software has competitive edge over their rivals in achieving precision and abundance of data. To determine acoustic tracks through audio testing software has become a fundamental research item in ethnomusicology, archeology of music, and folk music as well as musical entertainment. Thanks to the application of audio testing software, Chinas' musicology has made marked progress. In China, the application of audio testing software to musicology can be put under two categories, namely, first, the development of new audio testing software for a specific research purpose and its application to Chinese musicology, and secondly, the application of existing audio testing software to musicology. The development of audio testing software is a research achievement in itself. © 2013 Trans Tech Publications Ltd, Switzerland.


Wang H.,Lin Yi University | Wang H.,University of Shanghai for Science and Technology | Chen Q.,University of Shanghai for Science and Technology
Journal of Supercomputing | Year: 2014

Power controlling on reliability-aware GPU clusters with dynamically variable voltage and speed is investigated as combinatorial optimization problem, namely the problem of minimizing task execution time with energy consumption constraint and the problem of minimizing energy consumption with system reliability constraint. The two problems have applied in general multiprocessor computing and real-time multiprocessing systems where energy consumption and system reliability both are important. These problems which emphasize the trade-off among performance, power and reliability have not been well studied before. In this research, a novel power control model is built based on Model Prediction Control theory. Maximum Entropy Method is used to determine partial ordering relation of control variable and to identify the quality of solutions. Our controller can cap the redundant energy consumption by dynamically transforming energy states of the nodes in GPU cluster. We compare our controller with the control scheme, which does not consider the system reliability. The experimental results demonstrate that the proposed controller is more reliable and valuable. © Springer Science+Business Media New York 2013.


Wang H.,University of Shanghai for Science and Technology | Wang H.,Lin Yi University | Chen Q.,University of Shanghai for Science and Technology
Journal of Computers | Year: 2012

Distributed virtual honeynet is an important security detection system to Worms, Botnet detection, Spam and Distributed Denial-Of-Service. The honeynet value significantly relies on the disguise capacity. The traditional deploying method is a static scheme that the configuration of honeynet is determined by security experts beforehand and unable to change after the deployment. The hackers or Botnet controllers identify the honeynet and may not trap into the same honeynet again. Therefore, the static deploying honeynet has relatively poor disguise capacity. To improve the disguise capacity, a novel dynamic deploying method is proposed that is capable of redeploying the honeynet in real time. The inducing degree is introduced to measure the disguise capacity by analyzing the inbound and outbound packets of the honeynet. When the inducing degree is less than a specific threshold, the dynamic deploying manager will be activated and to execuate the dynamic deploying algorithms. We have developed three novel dynamic deploying algorithms to solve the problem how to redeploy the honeynet and implemented a prototype for distributed virtual honeynet based on Honeyd. The experimental results of the simulation and real networks datasets demonstrate that the dynamic deploying approach is effective to enhance the disguise capacity of honeynet. © 2012 ACADEMY PUBLISHER.


Ouyang Y.,Lin Yi University
Journal of Molecular Structure | Year: 2013

We detect significant enhancements for single-layer and few-layer graphene on a new cutting cross section of 50-μm thick silver strip at 785 nm. Besides the G and 2D bands are greatly enhanced, for few-layer graphene, the D′ band (∼1620 cm-1) is split into four peaks and the results are concordant with the electron dispersion. This method is easy for operation and observation, and can provide more information about the D′ band, has much potential to be applied in the studies of defect structure in graphene. © 2013 Elsevier B.V. All rights reserved.


Zhang C.,Lin yi University
2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings | Year: 2011

Using the methods of typical sample surveys, the trip characteristic and trip purpose of urban residents in Fei county have been studied. With the investigation and analysis of statistical data, we know that recently bicycle and electric bicycle are the dominant trip modes, and then motorcycle is the subsidiary trip mode, the third is to walk lastly, therefore it is the important action to improve the traffic that we must vigorously develop the public transportation and relevantly develop taxi transportation in Fei county. © 2011 IEEE.


Chen Q.,University of Shanghai for Science and Technology | Wang H.,University of Shanghai for Science and Technology | Wang H.,Lin Yi University | Liu B.,University of Shanghai for Science and Technology
Journal of Computers (Finland) | Year: 2013

Many emerging online data analysis applications require Large-scale streams data processing. GPU cluster is becoming a significantly parallel computing scheme to handling large-scale streams data tasks. However power optimization is a challenging issue. In this paper, we present a novel power consumption control model to shift power budge among nodes in the cluster based on their real workload needs, while capping redundancy energy and controlling the total power budge of the cluster to keep or below a constraint imposed by its power supplies. Our controller is very suitable to the dynamic workloads task model and designed based on an Multi-Input_Multi-Output control theory. We analyze the power consumption behaviors of GPU cluster and the variation of workload. The detailed control problem formulation is presented and analyzed in theory. We finally conduct simulation experiments on a physical cluster to compare our controller with two state-of-the-art controllers. The experimental results demonstrate that our proposed controller outperforms the other controllers by having more accurate control and more stability. © 2013 ACADEMY PUBLISHER.


Chen Q.,University of Shanghai for Science and Technology | Wang H.,University of Shanghai for Science and Technology | Wang H.,Lin Yi University | Zhuang S.,University of Shanghai for Science and Technology | Liu B.,University of Shanghai for Science and Technology
Journal of Computers | Year: 2012

When video is transmitted over 3G networks, the video quality might suffer from impairments caused by packet losses. Extracting video quality features is a set of algorithms and inverse discrete cosine transforms is an important algorithm in this field. To improve the performance and be suitable to apply to evaluating the 3G video quality in real-time, two different parallel algorithms with CUDA of the inverse discrete cosine transform are proposed. The parallel algorithms are exploited combined the high parallelism of GPUs with a high bandwidth in memory transfer at low cost. Moreover, the device memory accessing model is analyzed and considered the optimal use of the data cache. The experimental results show that the uberkernel algorithm with shared memory and texture memory outperforms other schemes for medium-sized tasks and the perisistent algorithm is better for large-scale tasks. © 2012 ACADEMY PUBLISHER.


Zhang C.,Lin yi University
2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings | Year: 2011

Based on the model of population carrying capacity under the condition of opening region, from the two aspects of resources and economy, the absolute and relative population carrying capacity in lin yi city is analyzed, the results show that the population of lin yi city has been at a serious overloading condition, such as sustainable growth of population, situation of stagnant economic development, limited resource and enviromental capacity, all that are the important factors of economic and social sustainable development in lin yi city. © 2011 IEEE.


Wang H.,University of Shanghai for Science and Technology | Wang H.,Lin Yi University | Chen Q.,University of Shanghai for Science and Technology
Journal of Software | Year: 2012

Energy efficiency is a major concern in the General Programming on Graphic Process Unit. Recent research focus on the measurement approach and energy optimization of Graphic Process Unit. Few studies provide insight to where and how power is consumed from the program perspective. The aim of this research was to build power consumption model to estimate the energy consumption for the application programmers. Program slicing was used to decompose the programs into slice set. The program slice as basic unit was to measure and analyze the program power consumption. We consider the computation intensity and the number of active SMs that have directly impact on energy consumption. Aiming to the sparseness-branch and denseness-branch programs, two power consumption prediction models were proposed. The experimental results show that the average relative error of the two prediction models are less than 6 percent. We conclude that the power consumption prediction models can effectively estimate the energy consumption of applications. © 2012 Academy Publisher.

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