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The Ninth International Conference on Grid and Cloud computing(第九届网格与云计算国际学术会议 GCC 2010)

作者： Qiang Li Ninghui Sun Zhigang Huo National Research Center for Intelligent Computing Systems Beijing 100190 China Key Laboratory of National Research Center for Intelligent Computing Systems Beijing 100190 China Key Laboratory of

Personal high performance computer (PHPC) requires lower cost and high performance. The Teraflops PHPC systems with special accelerator units like GPGPU have been presented, but they have difficulties in programming, compatibility and applicability. In this paper, we present HPPPHPC, a hybrid architecture of heterogeneous processors connected by non-coherent off-chip system bus. The performance of HPP-PHPC is ensured by special processors integrated with vector units and high-efficiency interconnection between heterogeneous processors. And by the adoption of general processors and features like global physical address space and synchroniz ation semantics in hardware, HPP-PHPC is more compatible and convenient for massage passing and PGAS programming model. Also it is more applicable to most applications, including those with many execution branches. Initial results obtained from our prototype system have proved our design.

关键词： HPP-PHPC HPP Controller SSI Global Address Space (GAS)

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Virtualizing modern high-speed interconnection networks with performance and scalability

Virtualizing modern high-speed interconnection networks with...

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作者： Li, Bo Huo, Zhigang Zhang, Panyong Meng, Dan National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Beijing China Key Laboratory of Computer System and Architecture Chinese Academy of Sciences Beijing China Graduate University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769542201

As one of the most important enabling technologies of cloud computing, virtualization brings to HPC good manageability, online system maintenance, performance isolation and fault isolation. Furthermore, previous study on VMM-bypass I/O that virtualizes OS-bypass networks (e.g. Infini- Band) relieved the worry of performance degradation coming along with virtualization. In this paper, we address the scalability challenges imposed upon OS-bypass networks under virtualized environments. The eXtended Reliable Connection (XRC) transport, proposed in modern high-speed interconnection networks to address the scalability problem in large scale applications, would not work in virtualized environments. To solve the problem, we propose VM-proof XRC design to eliminate the scalability gap between virtualized and native environments. Prototype evaluation shows that the virtualization of modern high-speed interconnection networks could get the same raw performance and scalability as in native non-virtualized environment with our VM-proof XRC design. The connection memory scalability shows a potential of 16 times improvement on virtualized clusters composed of 16-core nodes. © 2010 IEEE.

关键词： Scalability

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Future Supply Chain Processes and Data for Collective Intelligence

Future Supply Chain Processes and Data for Collective Intell...

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International Conference on P2P, Parallel, Grid, Cloud and Internet computing (3PGCIC)

作者： Martin Watmough Simon Polovina Babak Khazaeri Richard Hill Conceptual Structures Research Group Department of Computing Sheffield Hallam University UK Distributed and Intelligent Systems Research Group University of Derby UK

The aim of this paper is to identify the requirements on data that are necessary to support a collective intelligence solution for future supply chains. It is based on an evidential discussion of the information flows in future supply chains and the impact these will have on the life cycle, governance and ownership of data. Supply Chains are facing an increasing complex future if they are to provide the services required while operating in increasingly diverse landscapes and environments. Integration and coordination across the whole supply chain is requiring new approaches, systems and processes therefore data must be enhanced to support these new demands and provide the agility that organisations and consumers envisage. The content of data or data sets is discussed in the context of semantics and Service Orientated Architecture (SOA). A shift in the content of data to include behaviour and increased synchronisation across processes is developed as a possible solution for future supply chains. The evolution and importance of understanding is discussed and developed into a reliance on the integration of data and processes through change control and governance to achieve a collective intelligence across the supply chain.

关键词： Supply chains Semantics Process control Planning Synchronization Context

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Building a personal high performance computer with heterogeneous processors

Building a personal high performance computer with heterogen...

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International Conference on Grid and Cloud computing

作者： Li, Qiang Huo, Zhigang Sun, Ninghui National Research Center for Intelligent Computing Systems Beijing 100190 China Key Laboratory of Computer System and Architecture Chinese Academy of Sciences Beijing China Graduate University of Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9780769543130

Personal high performance computer (PHPC) requires lower cost and high performance. The Teraflops PHPC systems with special accelerator units like GPGPU have been presented, but they have difficulties in programming, compatibility and applicability. In this paper, we present HPP-PHPC, a hybrid architecture of heterogeneous processors connected by non-coherent off-chip system bus. The performance of HPP-PHPC is ensured by special processors integrated with vector units and high-efficiency interconnection between heterogeneous processors. And by the adoption of general processors and features like global physical address space and synchronization semantics in hardware, HPP-PHPC is more compatible and convenient for massage passing and PGAS programming model. Also it is more applicable to most applications, including those with many execution branches. Initial results obtained from our prototype system have proved our design. © 2010 IEEE.

关键词： Semantics

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Perception-based evolutionary optimization: Outline of a novel approach to optimization and problem solving

Perception-based evolutionary optimization: Outline of a nov...

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IEEE International Conference on systems, Man and Cybernetics

作者： Alireza Rowhanimanesh Mohammad-R. Akbarzadeh-T Cognitive Computing Laboratory Center of Applied Research on Soft Computing and Intelligent Systems (CARSIS) Ferdowsi University of Mashhad Mashhad Iran

Human perception and processing of information is granular and multi-resolution instead of numerical and precise. Due to this multi-resolution perception-based computing, human mind can quickly evaluate (calculate) the fitness of a large subspace of the search space. Indeed, this characteristic enables human to simplify and solve very complex problems. In contrast, evolutionary optimization (EO) as one of the most applied artificial problem solvers is based on computing with numbers since a chromosome is a single point of the search space and fitness function calculation is numerical. Hence, EO is blind towards the optimization landscape and this blindness inhibits its performance when the search space is very large and complex. Inspired by human perception based reasoning, a novel approach to optimization and problem solving is proposed here. Perception-based evolutionary optimization (PEO) is fundamentally based on computing with words. In PEO, chromosomes and fitness function calculation are perception-based (granular) instead of numerical and thus PEO works with granules (subspaces) rather than single points. Also, search is performed in a multi-resolution manner.

关键词： Benchmark testing Optimization Humans

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Fuzzy-Bayesian network approach to genre-based recommender systems

Fuzzy-Bayesian network approach to genre-based recommender s...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Soheila Ashkezari-T Mohammad-R. Akbarzadeh-T Department of Computer Engineering Cognitive Computing Laboratory Center of Applied Research on Soft computing and Intelligent systems Ferdowsi University of Mashhad Mashhad Iran Departments of Electrical Engineering and Computer Engineering Cognitive Computing Laboratory Center of Applied Research on Soft computing and Intelligent systems Ferdowsi University of Mashhad Iran

The World Wide Web has created a new media for mass marketing that can also be highly customized to online customers' needs and expectations. Recommender systems (RS) play an important role in this area. Here, we aim to establish a genre-based collaborative RS to automatically suggest and rank a list of appropriate items (movies) to a user based on the user profile and the past voting patterns of other users with similar tastes. The contribution of this paper is using genre based information in a hybrid fuzzy-Bayesian network collaborative RS. The interest to the different genres is computed based on a hybrid user model. The similarity of like-minded users according to the fuzzy distance and also Pearson correlation coefficient is involved in a Bayesian network.

关键词： Motion pictures Mathematical model Collaboration Recommender systems Equations Computational modeling

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Spatial-bag-of-features

Spatial-bag-of-features

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Yang Cao Changhu Wang Zhiwei Li Liqing Zhang Lei Zhang MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiaotong University Beijing China Microsoft Research Asia Beijing China

In this paper, we study the problem of large scale image retrieval by developing a new class of bag-of-features to encode geometric information of objects within an image. Beyond existing orderless bag-of-features, local features of an image are first projected to different directions or points to generate a series of ordered bag-of-features, based on which different families of spatial bag-of-features are designed to capture the invariance of object translation, rotation, and scaling. Then the most representative features are selected based on a boosting-like method to generate a new bag-of-features-like vector representation of an image. The proposed retrieval framework works well in image retrieval task owing to the following three properties: 1) the encoding of geometric information of objects for capturing objects' spatial transformation, 2) the supervised feature selection and combination strategy for enhancing the discriminative power, and 3) the representation of bag-of-features for effective image matching and indexing for large scale image retrieval. Extensive experiments on 5000 Oxford building images and 1 million Panoramio images show the effectiveness and efficiency of the proposed features as well as the retrieval framework.

关键词： Image retrieval Information retrieval Large-scale systems Image coding Asia Indexing Web search Scalability Laboratories intelligent systems

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A Taxonomy of Autonomic Application Management in Grids

A Taxonomy of Autonomic Application Management in Grids

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International Conference on Parallel and distributed systems (ICPADS)

作者： Mustafizur Rahman Rajiv Ranjan Rajkumar Buyya Cloud Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Service Oriented Computing Research Group School of Computer Science and Engineering University of New South Wales Australia

In this paper, we propose a taxonomy that characterizes and classifies different components of autonomic application management in Grids. We also survey several representative Grid systems developed by various projects world-wide to demonstrate the comprehensiveness of the taxonomy. The taxonomy not only highlights the similarities and differences of state-of-the-art technologies utilized in autonomic application management from the perspective of Grid computing, but also identifies the areas that require further research initiatives.

关键词： Monitoring Resource management Taxonomy Processor scheduling Decision making Dynamic scheduling

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Watershed-based weighted graph partitioning active contours

Watershed-based weighted graph partitioning active contours

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Congress on Image and Signal Processing, CISP

作者： Shaorong Wang Yisong Chen Sheng Li Guoping Wang Hua Li HCI & Multimedia Laboratory of Department of Computer Science Peking University Beijing China National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy and Sciences Beijing China

A novel Weighted Graph Partitioning Active Contours method based on weighted dissimilarity is introduced. This method is easy to be extended by defining different types of similarities. And it has been greatly acceler... 详细信息

关键词： Image segmentation Active contours Pixel Cost function Minimization Level set Mathematical model

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Robot Companions for Citizens

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Procedia Computer Science 2011年 7卷 47-51页

作者： Paolo Dario Paul F.M.J. Verschure Tony Prescott Gordon Cheng Giulio Sandini Roberto Cingolani Rüdiger Dillmann Dario Floreano Christophe Leroux Sheila MacNeil Pieter Roelfsema Xenophon Verykios Antonio Bicchi Chris Melhuish Alin Albu-Schäffer The BioRobotics Institute Scuola Superiore Sant’Anna viale Rinaldo Piaggio 34. 56025 Pontedera Italy Laboratory for Synthetic Perceptive Emotive and Cognitive Systems Catalan and Institute of Advanced Research (ICREA) Technology Department Universitat Pompeu Fabra Roc Boronat 138. 08018 Barcelona Spain Department of Psychology The University of Sheffield Western Bank Sheffield S10 2TN UK Institute for Cognitive Systems Technische Universität München Karlstrasse 45/II. 80333 München Germany Robotics Brain and Cognitive Sciences Istituto Italiano di Tecnologia Via Morego 30. 16163 Genova Italy Istituto Italiano di Tecnologia Via Morego 30. 16163 Genova Italy Institute for Anthropomatics Karlsruhe Institute of Technology Adenauerring 2 (Building 50.20). 76131 Karlsruhe Germany Laboratory of Intelligent Systems École polytechnique fédérale de Lausanne Station 11. CH-1015 Lausanne Switzerland CEA LIST Interactive Robotics Laboratory 18 route du panorama BP6. 92265 Fontenay Aux Roses cedex France The Kroto Research Institute North Campus University of Sheffield Broad Lane Sheffield S3 7HQ UK Netherlands Institute for Neuroscience Koninklijke Nederlandse Akademie Van Wetenschappen Meibergdreef 47. 1105 BA Amsterdam The Netherlands Department of Chemical Engineering University of Patras Karatheodoris 1 University Campus GR 265 00 Patras Interdepartmental Research Center “E. Piaggio” Faculty of Engineering University of Pisa via Diotisalvi 2.56100 Pisa Italy Department of Computing Engineering and Mathematical Sciences University of Bristol and the West of England Bristol Robotics Laboratory (BRL) DuPont Building Bristol Business Park Bristol BS16 1QD UK DLR Institute of Robotics and System Dynamics P.O.Box 1116. 82230 Wessling Germany

This paper describes the scientific vision and objectives of the FET Flagship candidate initiative Robot Companions for Citizens. Robot Companions will be a new generation of machines that will primarily help and assist elderly people in activities of daily living in their workplace, home and in society. They will be the ICT solution for a new sustainable welfare.

关键词： Robotics nanotechnologies material science tissue engineering biomaerials neuroscience social neuroscience human and social sciences ethical and legal issues

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