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Power and thermal Characterization of POWER6 System 10

Power and Thermal Characterization of POWER6 System

引用

19th international conference on Parallel Architectures and Compilation Techniques

作者： Jimenez, Victor Cazorla, Francisco J. Gioiosa, Roberto Valero, Mateo Boneti, Carlos Kursun, Eren Cher, Chen-Yong Isci, Canturk Buyuktosunoglu, Alper Bose, Pradip Barcelona Supercomp Ctr Barcelona Spain

ISBN: (纸本)9781450301787

Controlling power consumption and temperature is of major concern for modern computing systems. In this work we characterize thermal behavior and power consumption of an IBM POWER6 (TM)-based system. We perform the characterization at several levels: application, operating system, and hardware level, both when the system is idle, and under load. At hardware level, we report a 25% reduction in total system power consumption by using the processor low power mode. We also study the effect of the hardware thread prioritization mechanism provided by POWER6 on different workloads and how this mechanism can be used to limit power consumption. At OS level, we analyze the power reduction techniques implemented in the Linux kernel, such as the tickless kernel and the CPU idle power manager. At application level, we characterize the power consumption and the temperature of two sets of benchmarks (METbench and SPEC CPU2006) and we study the effect of workload characteristics on power consumption and core temperature. From this characterization we derive a model based on performance counters that allows us to predict the total power consumption of the POWER6 system with an average error under 3% for CMP and 5% for SMT. To the best of our knowledge, this is the first power model of a system including CMP+SMT processors. Finally, we show that the static decision on whether to consolidate tasks into the same core/chip, as it is currently done in Linux, can be improved by dynamically considering the low-power capabilities of the underlying architecture and the characteristics of the application (up to 5X improvement in (EDP)-P-2).

关键词： experimentation design measurement performance

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Budgeted distribution learning of belief net parameters

Budgeted distribution learning of belief net parameters

引用

27th international conference on Machine Learning, ICML 2010

作者： Li, Liuyang Póczos, Barnabás Szepesvári, Csaba Greiner, Russ Department of Computing Science University of Alberta AB T6G 2E8 Canada

ISBN: (纸本)9781605589077

Most learning algorithms assume that a training dataset is given initially. We address the common situation where data is not available initially, but can be obtained, at a cost. We focus on learning Bayesian belief networks (BNs) over discrete variables. As such BNs are models of probabilistic distributions, we consider the "generative" challenge of learning the parameters for a fixed structure, that best match the true distribution. We focus on the budgeted learning setting, where there is a known fixed cost c, for acquiring the value of the ith feature for any specified instance, and a known total budget to spend acquiring all information. After formally defining this problem from a Bayesian perspective, we first consider non-sequential algorithms that must decide, before seeing any results, which features of which instances to probe. We show this is NP-hard, even if all variables are independent, then prove that the greedy allocation algorithm IGA is optimal here when the costs are uniform, but can otherwise be sub-optimal. We then show that general (sequential) policies perform better than non-sequential, and explore the challenges of learning the parameters for general belief networks in this sequential setting, describing conditions for when the obvious round-robin algorithm will, versus will not, work optimally. We also explore the effectiveness of this and various other heuristic algorithms. Copyright 2010 by the author(s)/owner(s).

关键词： Bayesian networks

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Evolutionary optimization of growing neural gas parameters for object categorization and recognition

Evolutionary optimization of growing neural gas parameters f...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 international Joint conference on Neural Networks, IJCNN 2010

作者： Donatti, Guillermo S. Lomp, Oliver Würtz, Rolf P. International Graduate School of Neuroscience Ruhr-University Research School 44780 Bochum Germany Institut für Neuroinformatik Ruhr-Universität 44780 Bochum Germany International Graduate School of Neuroscience Ruhr-University Research School Department of Electrical Engineering and Information Sciences 44780 Bochum Germany

ISBN: (纸本)9781424469178

the already introduced Neural Map provides a structural association for the building blocks of dynamically generated object models. Its learning and recall procedures are built upon the Growing Neural Gas algorithm, which is highly parameterized. the values of these parameters are obtained through a time-consuming empirical approach. In the present work, we evaluate the use of optimization based on Evolutionary algorithms to simplify this task. this paradigm delves into six different approaches given by the combination of three fitness functions and two starting conditions. the performance of the proposed optimization paradigm is cross-validated with experiments on invariant object categorization and recognition found in literature. the results show that the empirically set parameter values can be successfully optimized using this paradigm. © 2010 IEEE.

关键词： Optimization

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Characterizing the impact of uncertain discount rates and carbon pricing on the optimal design and operation of the Kamalsaleh water transmission system

Characterizing the impact of uncertain discount rates and ca...

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10th international conference on computing and Control for the Water Industry

作者： Roshani, E. Filion, Y. R. Queens Univ Dept Civil Engn Kingston ON K7L 3N6 Canada

ISBN: (纸本)9780415548519

New carbon tax and carbon cap-and-trade regimes and an expected increase in energy prices in the future stand to change the way water utilities will fiscally manage new system improvements in aging systems. this is particularly true in large water transfer projects with large pumping and operating requirements over service lives that span 50 to 100 years. In this paper, the multi-objective non-dominated sorting genetic algorithm (NSGA-II) is applied to the Kamalsaleh water transmission pipeline to minimize the capital cost of reservoirs and the operating costs of pumping under realistic scenarios of discount rates and carbon prices. Preliminary results indicate that discount rate and carbon price have a significant impact on the shape of Pareto-optimal fronts and thus on planning decisions concerning large water transfer projects with significant pumping requirements.

关键词： Genetic algorithms

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Paging Multiple Users in Cellular Network: Yellow Page and conference Call Problems

Paging Multiple Users in Cellular Network: Yellow Page and C...

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9th international Symposium on Experimental algorithms

作者： Bar-Noy, Amotz Cheilaris, Panagiotis Feng, Yi CUNY Grad Ctr Dept Comp Sci 365 5th Ave New York NY 10016 USA CUNY Brooklyn Coll Dept Comp & Informat Sci Brooklyn NY 11210 USA Ben Gurion Univ Negev Ctr Adv Studies Math Dept Math IL-84105 Beer Sheva Israel

ISBN: (纸本)9783642131929

Mobile users are roaming in a zone of cells in a cellular network system. the probabilities of each user residing in each cell are known, and all probabilities are independent. the task is to find any one, or all, of the users, by paging the cells in a predetermined number of rounds. In each round, any subset of the cells can be paged. When a cell is paged, the list of users in it is returned. the paging process terminates when the required user(s) are found. the objective is to minimize the expected number of paged cells. Finding any one user is known as the yellow page problem, and finding all users is known as the conference call problem. the conference call problem has been proved NP-hard, and a polynomial time approximation scheme exists. We study both problems in a unified framework. We introduce three methods for computing the paging cost. We give a hierarchical classification of users. For certain classes of users, we either provide polynomial time optimal solutions, or provide relatively efficient exponential time solutions. We design a family of twelve fast greedy heuristics that generate competitive paging strategies. We implement optimal algorithms and non-optimal heuristics. We test the performance of our greedy heuristics on many patterns of input data with different parameters. We select the best heuristics for both problems based on our simulation. We evaluate their performances on randomly generated Zipf and uniform data and on real user data.

关键词： cellular networks paging location management experimental analysis of algorithms heuristics

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Adoption of Management systems by Companies According to international Standards-a Case Study on Automotive Suppliers in Saxony

Adoption of Management Systems by Companies According to Int...

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the 6th Euro-Asian conference on Corporate Social Responsibility and Environmental Management

作者： BONGAERTS Jan C LAU Lina YESSIVA Sandi Kusnadi the IMRE program from Technische Universitt Bergakademie Freiberg

ISBN: (纸本)9783865735935

Today,an increasing number of organizations are certified according to international management standards,such as ISO 9001 and ISO *** is not easy,however,to identify the driving motivations given the small number of studies and the wide variety of *** automation industry,for example,perceives "marketing advantage" and "customer pressure" as the most important motivations for adopting ISO *** research reveals a link between the size of organizations and the *** study shows that companies have a higher esteem for the certificates than their real efforts to obtain them.

关键词： Environmental Management systems,Quality Management systems,ISO Standards

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Sparse kernel density estimation technique based on zero-norm constraint

Sparse kernel density estimation technique based on zero-nor...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 international Joint conference on Neural Networks, IJCNN 2010

作者： Hong, Xia Chen, Sheng Harris, Chris J. School of Systems Engineering University of Reading Reading RG6 6AY United Kingdom School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom

ISBN: (纸本)9781424469178

A sparse kernel density estimator is derived based on the zero-norm constraint, in which the zero-norm of the kernel weights is incorporated to enhance model sparsity. the classical Parzen window estimate is adopted as the desired response for density estimation, and an approximate function of the zero-norm is used for achieving mathemtical tractability and algorithmic efficiency. Under the mild condition of the positive definite design matrix, the kernel weights of the proposed density estimator based on the zero-norm approximation can be obtained using the multiplicative nonnegative quadratic programming algorithm. Using the D-optimality based selection algorithm as the preprocessing to select a small significant subset design matrix, the proposed zero-norm based approach offers an effective means for constructing very sparse kernel density estimates with excellent generalisation performance. © 2010 IEEE.

关键词： Quadratic programming

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On How Ants Put Advertisements on the Web

On How Ants Put Advertisements on the Web

引用

23rd international conference on Industrial, Engineering and Other Applications of Applied Intelligent systems

作者： White, Tony Salehi-Abari, Amirali Box, Braden Carleton Univ Sch Comp Sci Ottawa ON K1S 5B6 Canada

ISBN: (纸本)9783642130243

Advertising is an important aspect of the Web as many services rely on it for continued viability this paper provides insight into the effectiveness of using ant-inspired algorithms to solve the problem of Internet advertising he paper is motivated by the success of collaborative filtering systems and lie success of ant-inspired systems in solving data mining and complex classification problems Using the vector space formalism, a model is proposed that learns to associate ads with pages with no prior knowledge of users interests T model uses historical data from users' click-through pawn its in order to improve associations A test. bed and *** is described, and the proposed model evaluated using simulation the ported results clearly show that, significant improvements in ad association performance are achievable

关键词： Ant Colony Optimization Stigmergy Pheromone Collaborative Filtering

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Active learning in parallel universes 10

Active learning in parallel universes

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proceedings of the 19th ACM international conference on Information and knowledge management

作者： Cebron, Nicolas Berthold, Michael R. Multimedia Computing Lab. University of Augsburg Universitätsstr. 6a 86159 Augsburg Germany Nycomed for Bioinformatics University of Konstanz Box 712 78467 Konstanz Germany

ISBN: (纸本)9781450300995

this paper addresses two challenges in combination: learning with a very limited number of labeled training examples (active learning) and learning in the presence of multiple views for each object where the global model to be learned is spread out over some or all of these views (learning in parallel universes). We propose a new active learning approach which selects the best samples to query the label with the goal of improving overall model accuracy and determining which universe contributes most to the local model. the resulting combination and class-specific weighting of universes provides a significantly better classification accuracy than traditional active learning methods. © 2010 ACM.

关键词： Learning systems

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Performance, cost, and power evaluations of on-chip network topologies in FPGAs

Performance, cost, and power evaluations of on-chip network ...

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9th IASTED international conference on Parallel and Distributed computing and Networks, PDCN 2010

作者： In, Sen Matsutani, Hiroki Koibuchi, Michihiro Wang, Daihan Amano, Hideharu Keio University 3-14-1 Hiyoshi Kouhoku-Ku Yokohama Japan University of Tokyo 4-6-1 Komaba Meguro-Ku Tokyo Japan National Institute of Informatics 2-1-2 Hitotsubashi Chiyoda-Ku Tokyo Japan

ISBN: (纸本)9780889868205

On-chip interconnection network has been used to connect a large number of modules in reconfigurable systems, such as FPGAs. the network topology is a crucial factor that affects the performance, cost, and power consumption of the system, and various network topologies have been proposed so far. To reveal cost- and powerefficient on-chip network structure in the reconfigurable systems, in this paper, we first estimate the performance of 2D-mesh, 2D-torus, Fat-Trees, Spidergon, Concentrated mesh, and Flattened Butterfly by using a network simulator. then, these topologies are synthesized, placed, and routed by using the Xilinx ISE in order to show the number of slices required and power consumption for each topology. Based on the evaluation results, the performanceper- cost and the performance-per-power of these network topologies are compared. We discuss the pros and cons of the high-radix topologies, such as Concentrated mesh and Flattened Butterfly, when they are used in FPGAs. We also show that the high radix topologies are suitable to FPGAs, because of their relatively small area overhead and short hop count.

关键词： Cost benefit analysis

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