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On the Influence of Thread Allocation for Irregular Codes in NUMA systems

On the Influence of Thread Allocation for Irregular Codes in...

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IEEE International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)

作者： Juan A. Lorenzo Francisco F. Rivera Peter Tuma Juan C. Pichel Computer Architecture Group Electronics and Computer Science Department University of Santiago de Compostela Spain Distributed Systems Research Group Department of Software Engineering Charles University Prague Czech Republic Galicia Supercomputing Centre Santiago de Compostela Spain

This work presents a study undertaken to characterise the FINISTERRAE supercomputer, one of the biggest NUMA systems in Europe. The main objective was to determine the performance effect of bus contention and cache coherency as well as the suitability of porting strategies regarding irregular codes in such a complex architecture. Results show that: (1) cores which share a socket can be considered as independent processors in this context; (2) for big data sizes, the effect of sharing a bus degrades the final performance but masks the cache coherency effects; (3) the NUMA factor (remote to local memory latency ratio) is an important factor on irregular codes and (4) the default kernel allocation policy is not optimal in this system. These results allow us to understand the behaviour of thread-to-core mappings and memory allocation policies.

关键词： Yarn Supercomputers Delay Europe Sockets Kernel Sparse matrices Distributed computing Application software computer architecture

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A Heuristic for Mapping Virtual Machines and Links in Emulation Testbeds

A Heuristic for Mapping Virtual Machines and Links in Emulat...

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International Conference on Parallel Processing (ICPP)

作者： Rodrigo N. Calheiros Rajkumar Buyya César A.F. De Rose Pontifical Catholic University of Rio Grande do Sul Porto Alegre Brazil Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

Distributed system emulators provide a paramount platform for testing of network protocols and distributed applications in clusters and networks of workstations. However, to allow testers to benefit from these systems, it is necessary an efficient and automatic mapping of hundreds, or even thousands, of virtual nodes to physical hosts-and the mapping of the virtual links between guests to physical paths in the physical environment. In this paper we present a heuristic to map both virtual machines to hosts and virtual links between virtual machines to paths in the real system. We define the problem we are addressing, present the solution for it and evaluate it in different usage scenarios.

关键词： Virtual machining System testing Switches Grid computing Network topology Cloud computing software testing LAN emulation Wide area networks Parallel processing

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Brain Image Registration Analysis Workflow for fMRI Studies on Global Grids

Brain Image Registration Analysis Workflow for fMRI Studies ...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Suraj Pandey William Voorsluys Musta?zur Rahman Rajkumar Buyya James Dobson Kenneth Chiu Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Department of Psychological & Brain Sciences Dartmouth College USA Grid Computing Research Laboratory Department of Computer Science State University of New York Binghamton NY USA

Scientific applications like neuroscience data analysis are usually compute and data-intensive. With the use of globally distributed resources and suitable middlewares, we can achieve much shorter execution time, distribute compute and storage load, and add greater flexibility to the execution of these scientific applications than we could ever achieve in a single compute *** this paper, we present the processing of image registration (IR) for functional magnetic resonance imaging(fMRI) studies on global grids. We characterize the application, list its requirements and transform it to a workflow. We then execute the application on Gridpsila5000 platform and present extensive performance results. We show that the IR application can have 1) significantly improved makespan, 2) distribution of compute and storage load among resources used, and 3) flexibility when executing multiple times on global Grids.

关键词： Brain Image registration Image analysis Distributed computing Grid computing Optical computing Image storage Neuroscience Data analysis Middleware

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H∞ Filtering for Neutral Stochastic systems with Time-Varying Delays

H∞ Filtering for Neutral Stochastic Systems with Time-Varyi...

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Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference

作者： Lin Li Yingmin Jia Junping Du Hideki Kokame the Department of Systems and Control Beihang University (BUAA) the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications the College of Engineering Osaka Prefecture University

This paper is devoted to the problem of H filtering for a class of neutral stochastic systems with both discrete and distributed time-varying *** objective is to design a full order filter such that the resulting filtering error system is stochastically asymptotically stable with a prescribed H∞performance *** on the stability theory of stochastic systems,a delay-dependent and rate-dependent sufficient condition for the existence of filter is obtained in terms of linear matrix inequalities（LMIs）.The corresponding filter design method is also proposed,while the explicit expression for the desired filter is given.A numerical example is finally included to illustrate the effectiveness of the proposed method.

关键词： Filtering for Neutral Stochastic systems with Time-Varying Delays filter

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AAAI 2008 workshop reports

AAAI 2008 workshop reports

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作者： Anand, Sarabjot Singh Bunescu, Razvan Carvcdho, Vitor Chomicki, Jan Conitzer, Vincent Cox, Michael T. Dignum, Virginia Dodds, Zachary Dredze, Mark Furcy, David Gabrilovich, Evgeniy Göker, Mehmet H. Guesgen, Hans Hirsh, Haym Jannach, Dietmar Junker, Ulrich Ketter, Wolfgang Kobsa, Alfred Koenig, Sven Lau, Tessa Lewis, Lundy Matson, Eric Metzler, Ted Mihalcea, Rada Mobasher, Bamshad Pineau, Joelle Poupart, Pascal Raja, Anita Ruml, Wheeler Sadeh, Norman Shani, Guy Shapiro, Daniel Smith, Trey Taylor, Matthew E. Wagstaff, Kiri Walsh, William Zhou, Rong Department of Computer Science University of Warwick United Kingdom School of Electrical Engineering and Computer Science Ohio University United States Microsoft Live Labs United States computer science and engineering University at Buffalo United States Computer science and economics Duke University United States Intelligent Computing group of BBN Technologies Utrecht University Netherlands Department of Computer science Harvey Mudd College United States University of Pennsylvania United States University of Wisconsin United States Yahoo Research PricewaterhouseCoopers Center for Advanced Research United States Department of Computer science School of Engineering and Advanced Technology Massey University New Zealand Departent of Computer science Rutgers University United States Department of Computer Science Dortmund University of Technology. Germany ILOG Rotterdam School of Management Erasmus University Netherlands Donald Bren School of Information and Computer Sciences University of California Irvine United States Depatrment of Computer science University of Southern California United States IBM Almaden Research Center United States Department of Computer Information Technology Southern New Hampshire University United States Computer and Information Technology Program College of Technology Purdue University United States Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computer Science and Engineering University of North Texas United States School of Computing DePaul University United States Department of Computer Science McGill University Canada School of Computer Science University of Waterloo Canada Department of Software and Information Systems University of North Carolina Charlotte United States University of New Hampshire United States Microsoft Research Institute for the Study of Learning and Expertise Applied Reactivity Inc. United States NASA Ames Research Center Carnegie Mellon University West

AAAI was pleased to present the AAAI-08 Workshop Program, held Sunday and Monday, July 13-14, in Chicago, Illinois, USA. The program included the following 15 workshops: Advancements in POMDP Solvers;AI Education Workshop Colloquium;Coordination, Organizations, Institutions, and Norms in Agent systems, Enhanced Messaging;Human Implications of Human-Robot Interaction;Intelligent Techniques for Web Personalization and Recommender systems;Metareasoning: Thinking about Thinking;Multidisciplinary Workshop on Advances in Preference Handling;Search in Artificial Intelligence and Robotics;Spatial and Temporal Reasoning;Trading Agent Design and Analysis;Transfer Learning for Complex Tasks;What Went Wrong and Why: Lessons from AI Research and Applications;and Wikipedia and Artificial Intelligence: An Evolving Synergy. Copyright © 2009, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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Comparing Commercial Tools and State-of-the-Art Methods for Generating Text Summaries

Comparing Commercial Tools and State-of-the-Art Methods for ...

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Mexican International Conference on Artificial Intelligence, MICAI

作者： René Arnulfo García-Hernández Yulia Ledeneva Griselda Matías Mendoza Ángel Hernández Dominguez Jorge Chavez Alexander Gelbukh José Luis Tapia Fabela Software Engineering Department Autonomous University of the State of Mexico Santiago Tianguistenco Mexico Computer Science Department Juarez Autonomous University of Tabasco Mexico Computational Systems Engineering Iguala Institute of Technology Iguala Guerrero Mexico Natural Language Laboratory National Polytechnic Institute CIC Mexico

Nowadays, there are commercial tools that allow automatic generation of text summaries. However, it is not known the quality of the generated summaries and the method that it is used for the generation of the summaries using these commercial tools. This paper provides a study about the commercial tools such as Copernic Summarizer, Microsoft Office Word Summarizer 2003 and Microsoft Office Word Summarizer 2007, with the objective to detect which of them gives the summaries more similar to those made by a human. Furthermore, the comparison between commercial tools and state-of-the-art methods is realized. The experiments were carried out using DUC-2002 standard collection which contains 567 news in English.

关键词： Humans Natural languages Data mining Artificial intelligence software engineering systems engineering and theory Laboratories computer science Operating systems software systems

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Frequency-domain approach to robust iterative learning controller design for uncertain time-delay systems

Frequency-domain approach to robust iterative learning contr...

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Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference

作者： Deyuan Meng Yingmin Jia Junping Du Fashan Yu the Department of Systems and Control Beihang University (BUAA) the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications the School of Electrical Engineering and Automation Henan Polytechnic University

This paper deals with the robust iterative learning control(ILC) for time-delay systems(TDS) with both model and delay *** ILC algorithm with anticipation in time is considered,and a frequency-domain approach to its design is *** shows that a necessary and sufficient convergence condition can be provided in terms of three design parameters:the lead time,the learning gain,and the performance weighting *** particular,if the lead time is chosen as just the delay estimate,then the convergence condition is derived independent of the delay and the *** this case,with the selection of the performance weighting function,the perfect tracking can be achieved,or the least upper bound of the L2-norm of the limit tracking error can be guaranteed less than the least upper bound of the L2-norm of the initial tracking error.

关键词： Iterative learning control time-delay systems frequency-domain approach anticipation in time

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Gene Selection of Multiple Cancer Types via Huberized Multi-class Support Vector Machine

Gene Selection of Multiple Cancer Types via Huberized Multi-...

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Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference

作者： Juntao Li Yingmin Jia Junping Du Fashan Yu the Department of Systems and Control Beihang University (BUAA) the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications the School of Electrical Engineering and Automation Henan Polytechnic University

This paper proposes a new type of regularization in the context of multi-class support vector machine for simultaneous classification and gene *** combining the huberized hinge loss function and the elastic net penalty,the proposed support vector machine can do automatic gene selection and further encourage a grouping effect in the process of building classifiers,thus leading a sparse multi-classifiers with enhanced ***,a reasonable correlation between the two regularization parameters is proposed and an efficient solution path algorithm is *** of microarray classification are performed on the leukaemia data set to verify the obtained results.

关键词： Gene selection grouping effect microarray classification solution path support vector machine(SVM)

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Minimal Exposure Path Algorithms for Directional Sensor Networks

Minimal Exposure Path Algorithms for Directional Sensor Netw...

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GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

作者： Liang Liu Xi Zhang Huadong Ma Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications Beijing China Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

As a fundamental problem of wireless sensor networks, the minimal exposure path problem corresponding to the sensor network's worst-case coverage plays an important role in the applications for detecting intrusions. However, most existing works about minimal exposure path are based on omnidirectional sensors. In contrast, this paper studies the minimal exposure path problem for directional sensor networks. We first develop a directional sensing model: directional sensitivity model. Then, we formulate the minimal exposure path problem by using two sensing intensity functions: all-sensor intensity function and maximum-sensor intensity function, and generate two weighted grids to convert the minimal exposure path problem into two discrete geometric problems. Based on the above weighted grids, we also develop two approximation algorithms to find the minimal exposure path for the directional sensitive model. We conduct extensive simulations to validate and evaluate our proposed models and algorithms.

关键词： Wireless sensor networks Intelligent sensors Intrusion detection Telecommunications Mesh generation Approximation algorithms Sensor systems Information systems Laboratories Intelligent networks

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A Coverage-Enhancing Method for 3D Directional Sensor Networks

A Coverage-Enhancing Method for 3D Directional Sensor Networ...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： H. Ma X. Zhang A. Ming Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications Beijing China Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

ISBN: (纸本)9781424435128

In conventional directional sensor networks, coverage control for each sensor is based on a 2D directional sensing model. However, 2D directional sensing model cannot accurately characterize the actual application scene of image/video sensor networks. To remedy this deficiency, we propose a 3D directional sensor coverage-control model with tunable orientations. In order to improve the efficiency of target-detecting, we develop a virtual potential-field based coverage-enhancing scheme to improve the coverage performance. Furthermore, we apply the simulated annealing algorithm for objective optimization. The extensive simulations show the effectiveness of our proposed 3D sensing model and coverage enhancing method.

关键词： Sensor phenomena and characterization Intelligent sensors Image sensors Layout Simulated annealing Sensor systems Communications Society Intelligent networks Telecommunications Multimedia systems

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