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Open data management solutions for problem solving environments: application of distributed authoring and versioning to the Extensible Computational Chemistry Environment

Open data management solutions for problem solving environme...

引用

International symposium on high performance Distributed computing

作者： K. Schuchardt J. Myers E. Stephan Pacific Northwest National Laboratory USA

Next-generation problem solving environments (PSEs) promise significant advances over those now available. they will span scientific disciplines and incorporate collaboration capabilities. they will host feature-detection and other agents, allow data mining and pedigree tracking, and provide access from a wide range of devices. Fundamental changes in PSE architecture are required to realize these and other PSE goals. this paper focuses specifically on issues related to data management and recommends an approach based on open, metadata-driven repositories with loosely defined, dynamic schemas. Benefits of this approach are discussed and the redesign of the Extensible Computational Chemistry Environment's (Ecce) data storage architecture to use such a repository is described, based on the distributed authoring and versioning (DAV) standard. the suitability of DAV for scientific data, the mapping of the Ecce schema to DAV, and promising initial results are presented.

关键词： Environmental management Problem-solving Best practices Data structures Distributed computing Chemistry Collaboration computer architecture Memory Ontologies

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File and object replication in data grids

File and object replication in data grids

引用

International symposium on high performance Distributed computing

作者： H. Stockinger A. Samar B. Allcock I. Foster K. Holtman B. Tierney CERN European Organisation for Nuclear Research (CERN) Geneva Switzerland Institute for Computer Science and Business Informatics University of Technology Vienna Vienna Austria California Institute of Technology Pasadena CA USA Mathematics and Computer Science Division Argonne National Laboratory IL USA Department of Computer Science & The Computation Institute University of Chicago IL USA Lawrence Berkeley National Laboratory Berkeley CA USA

Data replication is a key issue in a data grid and can be managed in different ways and at different levels of granularity: for example, at the file level or the object level. In the high-energy physics community, data grids are being developed to support the distributed analysis of experimental data. We have produced a prototype data replication tool, the Grid Data Management Pilot (GDMP) that is in production use in one physics experiment, with middleware provided by the Globus toolkit used for authentication, data movement and other purposes. We present a new, enhanced GDMP architecture and prototype implementation that uses Globus data-grid tools for efficient file replication. We also explain how this architecture can address object replication issues in an object-oriented database management system. File transfer over wide-area networks requires specific performance tuning in order to gain optimal data transfer rates. We present performance results obtained with GridFTP, an enhanced version of FTP, and discuss tuning parameters.

关键词： computer science Data analysis Prototypes Laboratories Production computer networks Distributed computing Environmental management Databases Informatics

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Applying Grid technologies to bioinformatics

Applying Grid technologies to bioinformatics

引用

International symposium on high performance Distributed computing

作者： M. Karo C. Dwan J. Freeman J. Weissman M. Livny E. Retzel Center for Computational Genomics and Bioinformatics University of Minnesota Minneapolis MN USA Department of Computer Science University of Minnesota Minneapolis MN USA Department of Computer Science University of Wisconsin Madison WI USA

the science of bioinformatics provides researchers with the tools necessary to unravel the mysteries of life and evolution, discover cures for disease, and control the evolution of living organisms. To assist researchers in managing the growing data processing and management demands associated with bioinformatics, we have created a production system that draws upon Grid based technologies to control several aspects of the process. We briefly discuss system architecture, results, and future directions of the project.

关键词： Bioinformatics Data processing Organisms Genetics Resource management Evolution (biology) Technology management Production systems Humans Diseases

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Efficient inter-device data-forwarding in the madeleine communication library

Efficient inter-device data-forwarding in the madeleine comm...

引用

International symposium on Parallel and Distributed Processing (IPDPS)

作者： O. Aumage L. Eyraud R. Namyst LIP ENS-LYON Lyon France

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Open metadata formats: efficient XML-based communication for high performance computing

Open metadata formats: efficient XML-based communication for...

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International symposium on high performance Distributed computing

作者： P. Widener G. Eisenhauer K. Schwan College of Computing Georgia Institute of Technology Atlanta GA USA

high-performance computing faces considerable change as the Internet and the Grid mature. Applications that once were tightly-coupled and monolithic are now decentralized, with collaborating components spread across diverse computational elements. Such distributed systems most commonly communicate through the exchange of structured data. Definition and translation of metadata is incorporated in all systems that exchange structured data. We observe that the manipulation of this metadata can be decomposed into three separate steps: discovery, binding of program objects to the metadata, and marshaling of data to and from wire formats. We have designed a method of representing message formats in XML, using datatypes available in the XML Schema specification. We have implemented a tool, XMIT that uses such metadata and exploits this decomposition in order to provide flexible run-time metadata definition facilities for an efficient binary communication mechanism. We also demonstrate that the use of XMIT makes possible such flexibility at little performance cost.

关键词： high performance computing Grid computing XML Costs Application software computer architecture Instruments Educational institutions Internet Collaboration

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Jini-enabled high performance computing

Jini-enabled high performance computing

引用

International Conference on Information Networking

作者： Rong Ye Wen-Jing Hsu Ze-Hua Liu Voon-Vee Vee Center for Advanced Information Systems (CAIS) School of Computer Engineering Nanyang Technological University Singapore

ISBN: (纸本)0769509517

the vision of computational grids promises an exciting future for high performance computing (HPC). In the project presented we make a small but practical step toward the grand vision of pervasive HPC by using some of the prevailing Internet technologies to enable access of HPC anytime and anywhere. Specifically, the project focuses on HPC that could be accessed by using the World Wide Web. We have conducted experiments based on engineering/scientific applications. Examples include simulations of automated guided vehicles (hereafter AGVs for short) in container port operations, N-body and molecular simulations. We initially build systems based on an ad-hoc approach, whose merits and demerits are identified. then, we employ Jini technology to reconstruct the system architecture and present a more efficient and robust model. performance studies are also presented. the objectives are to explore and address relevant issues, evaluate various approaches, demonstrate a workable version and conduct experiments with actual Web-enabled applications. the result is that now we are able to partially realize the dream of using the HPCs anytime and anywhere through devices such as a wireless/mobile computer, as long as they are armed with a common Web browser.

关键词： high performance computing computer vision Grid computing Internet Web sites Automotive engineering Vehicles Containers Robustness Application software

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Accelerating Statistical Texture Analysis with an FPGA-DSP Hybrid architecture

Accelerating Statistical Texture Analysis with an FPGA-DSP H...

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Annual IEEE symposium on Field-Programmable Custom computing Machines (FCCM)

作者： F.I. Pico S.C. Asensi V. Corcoles Universidad de Alicante Depto. de Tecnología Informática y Computación Universidad de Alicante Alicante Spain

Nowadays, most image processing systems are implemented using either MMX-optimized software libraries or, when time requirements are limited, expensive high performance DSP-based boards. In this paper we present a texture analysis co-processor concept that permits the efficient hardware implementation of statistical feature extraction, and hardware-software codesign to achieve high-performance low-cost solutions. We propose a hybrid architecture based on FPGA chips, for massive data processing, and digital signal processor (DSP) for floating-point computations. In our preliminary trials with test images, we achieved sufficient performance improvements to handle a wide range of real-time applications.

关键词： Acceleration Image texture analysis computer architecture Image processing Software libraries Coprocessors Hardware Feature extraction Field programmable gate arrays Data processing

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Radar signal processing using pipelined optical hypercube interconnects

Radar signal processing using pipelined optical hypercube in...

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International symposium on Parallel and Distributed Processing (IPDPS)

作者： H. Forsberg B. Svensson A. Ahlander M. Jonsson Department of Computer Engineering Chalmers University of Technology Gothenburg Sweden School of Information Science Computer and Electrical Engineering Halmstad University Halmstad Sweden Airborne Radar Division Ericsson Microwave Systems AB Molndal Sweden

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Parallel retrograde analysis on different architecture

Parallel retrograde analysis on different architecture

引用

International symposium on high performance Distributed computing

作者： Ren Wu D.F. Beal HP Laboratories Hewlett Packard Company USA Department of Computer Science Queen Mary & Westfield College London University UK

Retrograde analysis is an efficient exhaustive search method. It is a powerful tool that can be used in solving problems where end states have known values but starting states do not. It has been widely used to solve mathematically-precise games such as chess endgames, and is potentially usable in energy-minimization problems. With increasing computing power, both in speed and storage capacity, retrograde analysis will become more and more useful. this paper looks at successful applications to games, the challenges ahead and the modifications that are required to utilize distributed hardware. the power and the usefulness of retrograde analysis are still limited by the computing resources one has access to. Today, the best sequential retrograde algorithms are capable of solving problems with about 10/sup 9/ states in a few hours on a standard personal computer. Bigger problems need more powerful computers, or take much longer to solve, or are simply out of the reach of today's technologies. Introducing parallelism to retrograde analysis is a natural way to attack the bigger problems. there are today three main architectures available for doing parallel retrograde analysis, namely symmetric multiprocessor (SMP) systems, high-speed network-based distributed systems and Internet-based distributed systems. In this paper, we discuss some of the key issues in doing parallel retrograde analysis on these different architectures. Technical challenges are addressed in detail, as well as some examples and proposals. these examples and proposals are drawn from various board games, but the ideas can be applied to other problem domains.

关键词： computer architecture Proposals Laboratories Search methods Hardware Microcomputers Parallel processing Multiprocessing systems high-speed networks IP networks

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Models for replica synchronisation and consistency in a data grid

Models for replica synchronisation and consistency in a data...

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International symposium on high performance Distributed computing

作者： D. Dullmann W. Hoschek J. Jaen-Martinez B. Segal A. Samar H. Stockinger K. Stockinger CERN European Organization for Nuclear Research Geneva 23 Switzerland California Institute of Technology Pasadena CA USA Inst. for Computer Science and Business Informatics University of Vienna Vienna Austria

Data grids are currently proposed solutions to large-scale data management problems, including efficient file transfer and replication. Large amounts of data and the world-wide distribution of data stores contribute to the complexity of the data management challenge. Recent architecture proposals and prototypes deal with replication of read-only files but do not address the replica synchronisation problem. We propose a new data grid service, called the Grid Consistency Service (GCS), that sits on top of existing data grid services and allows for replica update synchronisation and consistency maintenance. We give models for different levels of consistency, provided to the Grid user and discuss how they can be included into a replica consistency service for a data grid.

关键词： computer science Informatics Large-scale systems Proposals Prototypes Physics

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